{"data":{"node":{"slug":"shubhamsaboo-awesome-llm-apps","name":"awesome-llm-apps","tagline":"Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.","github_url":"https://github.com/Shubhamsaboo/awesome-llm-apps","owner":"Shubhamsaboo","repo":"awesome-llm-apps","owner_avatar_url":"https://avatars.githubusercontent.com/u/31396011?v=4","primary_language":"Python","stars":131230,"forks":19346,"topics":["agents","llms","python","rag"],"archived":false,"github_pushed_at":"2026-08-03T03:30:58+00:00","maintenance_label":"Very active","stars_delta_30d":14464,"url":"https://www.graphcanon.com/tools/shubhamsaboo-awesome-llm-apps","markdown_url":"https://www.graphcanon.com/tools/shubhamsaboo-awesome-llm-apps.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/shubhamsaboo-awesome-llm-apps","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=shubhamsaboo-awesome-llm-apps"},"categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"slug":"data-retrieval","name":"Data & Retrieval","url":"https://www.graphcanon.com/categories/data-retrieval","markdown_url":"https://www.graphcanon.com/categories/data-retrieval.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/data-retrieval"}],"tags":[{"slug":"agents","name":"agents"},{"slug":"applications","name":"applications"},{"slug":"customizable","name":"customizable"},{"slug":"deployable","name":"deployable"},{"slug":"llms","name":"llms"},{"slug":"python","name":"python"},{"slug":"rag","name":"rag"}],"edges":[{"type":"integrates_with","direction":"out","explanation":"awesome-llm-apps","successor_context":null,"tool":{"slug":"langchain-ai-langchain","name":"langchain","tagline":"The agent engineering platform.","github_url":"https://github.com/langchain-ai/langchain","owner":"langchain-ai","repo":"langchain","owner_avatar_url":"https://avatars.githubusercontent.com/u/126733545?v=4","primary_language":"Python","stars":143615,"forks":23930,"topics":["agents","ai","ai-agents","anthropic","chatgpt","deepagents","enterprise","framework","gemini","generative-ai","langchain","langgraph","llm","multiagent","open-source","openai","pydantic","python","rag","typescript"],"archived":false,"github_pushed_at":"2026-08-07T08:27:07+00:00","maintenance_label":"Very active","stars_delta_30d":2337,"url":"https://www.graphcanon.com/tools/langchain-ai-langchain","markdown_url":"https://www.graphcanon.com/tools/langchain-ai-langchain.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langchain-ai-langchain","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langchain-ai-langchain"}},{"type":"related","direction":"out","explanation":null,"successor_context":null,"tool":{"slug":"dair-ai-prompt-engineering-guide","name":"Prompt-Engineering-Guide","tagline":"Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents","github_url":"https://github.com/dair-ai/Prompt-Engineering-Guide","owner":"dair-ai","repo":"Prompt-Engineering-Guide","owner_avatar_url":"https://avatars.githubusercontent.com/u/30384625?v=4","primary_language":"MDX","stars":77531,"forks":8518,"topics":["agent","agents","ai-agents","chatgpt","deep-learning","generative-ai","language-model","llms","openai","prompt-engineering","rag"],"archived":false,"github_pushed_at":"2026-03-11T20:09:13+00:00","maintenance_label":"Slowing","stars_delta_30d":829,"url":"https://www.graphcanon.com/tools/dair-ai-prompt-engineering-guide","markdown_url":"https://www.graphcanon.com/tools/dair-ai-prompt-engineering-guide.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/dair-ai-prompt-engineering-guide","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=dair-ai-prompt-engineering-guide"}},{"type":"integrates_with","direction":"out","explanation":"awesome-llm-apps","successor_context":null,"tool":{"slug":"langflow-ai-langflow","name":"langflow","tagline":"Tool for building and deploying AI-powered agents and workflows","github_url":"https://github.com/langflow-ai/langflow","owner":"langflow-ai","repo":"langflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/85702467?v=4","primary_language":"Python","stars":152744,"forks":9747,"topics":["agents","chatgpt","generative-ai","large-language-models","multiagent","react-flow"],"archived":false,"github_pushed_at":"2026-08-02T00:44:47+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/langflow-ai-langflow","markdown_url":"https://www.graphcanon.com/tools/langflow-ai-langflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langflow-ai-langflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langflow-ai-langflow"}},{"type":"related","direction":"out","explanation":null,"successor_context":null,"tool":{"slug":"foundationagents-metagpt","name":"MetaGPT","tagline":"🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming","github_url":"https://github.com/FoundationAgents/MetaGPT","owner":"FoundationAgents","repo":"MetaGPT","owner_avatar_url":"https://avatars.githubusercontent.com/u/198047230?v=4","primary_language":"Python","stars":69847,"forks":8882,"topics":["agent","gpt","llm","metagpt","multi-agent"],"archived":false,"github_pushed_at":"2026-01-21T10:12:33+00:00","maintenance_label":"Slowing","stars_delta_30d":442,"url":"https://www.graphcanon.com/tools/foundationagents-metagpt","markdown_url":"https://www.graphcanon.com/tools/foundationagents-metagpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/foundationagents-metagpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=foundationagents-metagpt"}},{"type":"alternative","direction":"out","explanation":"awesome-llm-apps","successor_context":null,"tool":{"slug":"rasbt-llms-from-scratch","name":"LLMs-from-scratch","tagline":"Implement a ChatGPT-like LLM in PyTorch from scratch, step by step","github_url":"https://github.com/rasbt/LLMs-from-scratch","owner":"rasbt","repo":"LLMs-from-scratch","owner_avatar_url":"https://avatars.githubusercontent.com/u/5618407?v=4","primary_language":"Jupyter Notebook","stars":102733,"forks":15748,"topics":["ai","artificial-intelligence","attention-mechanism","deep-learning","finetuning","from-scratch","generative-ai","gpt","instruction-tuning","language-model","large-language-models","llm","machine-learning","natural-language-processing","pretraining","python","pytorch","tokenizer","transformers"],"archived":false,"github_pushed_at":"2026-08-10T01:11:40+00:00","maintenance_label":"Very active","stars_delta_30d":3541,"url":"https://www.graphcanon.com/tools/rasbt-llms-from-scratch","markdown_url":"https://www.graphcanon.com/tools/rasbt-llms-from-scratch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/rasbt-llms-from-scratch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=rasbt-llms-from-scratch"}},{"type":"related","direction":"out","explanation":null,"successor_context":null,"tool":{"slug":"infiniflow-ragflow","name":"ragflow","tagline":"Retrieval-Augmented Generation engine with agent capabilities","github_url":"https://github.com/infiniflow/ragflow","owner":"infiniflow","repo":"ragflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/69962740?v=4","primary_language":"Go","stars":86541,"forks":10167,"topics":["agent-harness","agentic-ai","agentic-retrieval","agentic-search","ai","ai-agents","context-engine","context-engineering","context-management","harness-engineering","knowledge-compilation","llm-apps","rag","retrieval-augmented-generation"],"archived":false,"github_pushed_at":"2026-07-31T14:59:12+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/infiniflow-ragflow","markdown_url":"https://www.graphcanon.com/tools/infiniflow-ragflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/infiniflow-ragflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=infiniflow-ragflow"}},{"type":"related","direction":"out","explanation":null,"successor_context":null,"tool":{"slug":"daytonaio-daytona","name":"daytona","tagline":"Secure and Elastic Infrastructure for Running AI-Generated Code","github_url":"https://github.com/daytonaio/daytona","owner":"daytonaio","repo":"daytona","owner_avatar_url":"https://avatars.githubusercontent.com/u/130513197?v=4","primary_language":null,"stars":71966,"forks":5653,"topics":["agentic-workflow","ai","ai-agents","ai-runtime","ai-sandboxes","code-execution","code-interpreter","developer-tools"],"archived":false,"github_pushed_at":"2026-07-24T07:12:07+00:00","maintenance_label":"Active","stars_delta_30d":-278,"url":"https://www.graphcanon.com/tools/daytonaio-daytona","markdown_url":"https://www.graphcanon.com/tools/daytonaio-daytona.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/daytonaio-daytona","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=daytonaio-daytona"}},{"type":"integrates_with","direction":"in","explanation":"learn-claude-code","successor_context":null,"tool":{"slug":"shareai-lab-learn-claude-code","name":"learn-claude-code","tagline":"Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1","github_url":"https://github.com/shareAI-lab/learn-claude-code","owner":"shareAI-lab","repo":"learn-claude-code","owner_avatar_url":"https://avatars.githubusercontent.com/u/189210346?v=4","primary_language":"Python","stars":74328,"forks":12035,"topics":["agent","agent-development","ai-agent","claude","claude-code","educational","llm","python","teaching","tutorial"],"archived":false,"github_pushed_at":"2026-08-15T16:51:43+00:00","maintenance_label":"Very active","stars_delta_30d":3096,"url":"https://www.graphcanon.com/tools/shareai-lab-learn-claude-code","markdown_url":"https://www.graphcanon.com/tools/shareai-lab-learn-claude-code.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/shareai-lab-learn-claude-code","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=shareai-lab-learn-claude-code"}},{"type":"related","direction":"in","explanation":"While Awesome LLM Apps is a repository of AI applications, GPT Researcher can be considered one such application within the scope of deep research and automation.","successor_context":null,"tool":{"slug":"assafelovic-gpt-researcher","name":"gpt-researcher","tagline":"An autonomous agent that conducts deep research using LLM providers","github_url":"https://github.com/assafelovic/gpt-researcher","owner":"assafelovic","repo":"gpt-researcher","owner_avatar_url":"https://avatars.githubusercontent.com/u/13554167?v=4","primary_language":"Python","stars":28883,"forks":3916,"topics":["agent","ai","automation","deepresearch","llms","mcp","mcp-server","python","research","search","webscraping"],"archived":false,"github_pushed_at":"2026-07-18T07:56:55+00:00","maintenance_label":"Active","stars_delta_30d":737,"url":"https://www.graphcanon.com/tools/assafelovic-gpt-researcher","markdown_url":"https://www.graphcanon.com/tools/assafelovic-gpt-researcher.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/assafelovic-gpt-researcher","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=assafelovic-gpt-researcher"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"asgeirtj-system-prompts-leaks","name":"system_prompts_leaks","tagline":"Extracted system prompts from various AI agents and LLMs","github_url":"https://github.com/asgeirtj/system_prompts_leaks","owner":"asgeirtj","repo":"system_prompts_leaks","owner_avatar_url":"https://avatars.githubusercontent.com/u/27446620?v=4","primary_language":"JavaScript","stars":62977,"forks":10337,"topics":["ai","ai-agents","ai-prompts","anthropic","chatbot","chatgpt","claude","claude-code","codex","cursor","gemini","generative-ai","google","grok","llm","openai","prompt","prompt-engineering","system-prompt","system-prompts"],"archived":false,"github_pushed_at":"2026-08-15T03:58:20+00:00","maintenance_label":"Very active","stars_delta_30d":4621,"url":"https://www.graphcanon.com/tools/asgeirtj-system-prompts-leaks","markdown_url":"https://www.graphcanon.com/tools/asgeirtj-system-prompts-leaks.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/asgeirtj-system-prompts-leaks","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=asgeirtj-system-prompts-leaks"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"zhayujie-cowagent","name":"CowAgent","tagline":"Open-source super AI assistant & Agent Harness","github_url":"https://github.com/zhayujie/CowAgent","owner":"zhayujie","repo":"CowAgent","owner_avatar_url":"https://avatars.githubusercontent.com/u/26161723?v=4","primary_language":"Python","stars":46520,"forks":10316,"topics":["ai","ai-agent","ai-agents","chatgpt-on-wechat","claude","claude-code","codex","cowagent","deepseek","harness","llm","mcp","multi-agent","openai","openclaw","skills"],"archived":false,"github_pushed_at":"2026-08-15T12:26:50+00:00","maintenance_label":"Very active","stars_delta_30d":506,"url":"https://www.graphcanon.com/tools/zhayujie-cowagent","markdown_url":"https://www.graphcanon.com/tools/zhayujie-cowagent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/zhayujie-cowagent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=zhayujie-cowagent"}},{"type":"integrates_with","direction":"in","explanation":"ChatTTS is a text-to-speech model designed for conversational tasks with capabilities like prosodic control and laughter prediction. The 'awesome-llm-apps' repository lists numerous AI applications that can potentially integrate ChatTTS to enhance their functionality by adding natural speech generation, making ChatTTS an integrative component for projects listed there.","successor_context":null,"tool":{"slug":"2noise-chattts","name":"ChatTTS","tagline":"A generative speech model for daily dialogue","github_url":"https://github.com/2noise/ChatTTS","owner":"2noise","repo":"ChatTTS","owner_avatar_url":"https://avatars.githubusercontent.com/u/164844019?v=4","primary_language":"Python","stars":39768,"forks":4257,"topics":["agent","chat","chatgpt","chattts","chinese","chinese-language","english","english-language","gpt","llm","llm-agent","natural-language-inference","python","text-to-speech","torch","torchaudio","tts"],"archived":false,"github_pushed_at":"2026-04-10T16:33:48+00:00","maintenance_label":"Slowing","stars_delta_30d":140,"url":"https://www.graphcanon.com/tools/2noise-chattts","markdown_url":"https://www.graphcanon.com/tools/2noise-chattts.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/2noise-chattts","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=2noise-chattts"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"chatchat-space-langchain-chatchat","name":"Langchain-Chatchat","tagline":"Local knowledge-based RAG and Agent app using Langchain and various LLMs","github_url":"https://github.com/chatchat-space/Langchain-Chatchat","owner":"chatchat-space","repo":"Langchain-Chatchat","owner_avatar_url":"https://avatars.githubusercontent.com/u/139558948?v=4","primary_language":"Python","stars":38522,"forks":6266,"topics":["chatbot","chatchat","chatglm","chatgpt","embedding","faiss","fastchat","gpt","knowledge-base","langchain","langchain-chatglm","llama","llm","milvus","ollama","qwen","rag","retrieval-augmented-generation","streamlit","xinference"],"archived":false,"github_pushed_at":"2025-11-10T09:27:42+00:00","maintenance_label":"Slowing","stars_delta_30d":254,"url":"https://www.graphcanon.com/tools/chatchat-space-langchain-chatchat","markdown_url":"https://www.graphcanon.com/tools/chatchat-space-langchain-chatchat.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/chatchat-space-langchain-chatchat","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=chatchat-space-langchain-chatchat"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"rohitg00-ai-engineering-from-scratch","name":"ai-engineering-from-scratch","tagline":"Learn it. Build it. Ship it for others.","github_url":"https://github.com/rohitg00/ai-engineering-from-scratch","owner":"rohitg00","repo":"ai-engineering-from-scratch","owner_avatar_url":"https://avatars.githubusercontent.com/u/48523873?v=4","primary_language":"Python","stars":46862,"forks":8195,"topics":["agents","ai","ai-agents","ai-engineering","computer-vision","course","deep-learning","from-scratch","generative-ai","llm","machine-learning","mcp","nlp","python","reinforcement-learning","rust","swarm-intelligence","transformers","tutorial","typescript"],"archived":false,"github_pushed_at":"2026-08-10T07:05:52+00:00","maintenance_label":"Very active","stars_delta_30d":8301,"url":"https://www.graphcanon.com/tools/rohitg00-ai-engineering-from-scratch","markdown_url":"https://www.graphcanon.com/tools/rohitg00-ai-engineering-from-scratch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/rohitg00-ai-engineering-from-scratch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=rohitg00-ai-engineering-from-scratch"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"yeachan-heo-oh-my-claudecode","name":"oh-my-claudecode","tagline":"Teams-first Multi-agent orchestration for Claude Code","github_url":"https://github.com/Yeachan-Heo/oh-my-claudecode","owner":"Yeachan-Heo","repo":"oh-my-claudecode","owner_avatar_url":"https://avatars.githubusercontent.com/u/54757707?v=4","primary_language":"TypeScript","stars":38669,"forks":3474,"topics":["agentic-coding","ai-agents","automation","claude","claude-code","multi-agent-systems","oh-my-opencode","opencode","parallel-execution","vibe-coding"],"archived":false,"github_pushed_at":"2026-08-18T12:34:36+00:00","maintenance_label":"Very active","stars_delta_30d":768,"url":"https://www.graphcanon.com/tools/yeachan-heo-oh-my-claudecode","markdown_url":"https://www.graphcanon.com/tools/yeachan-heo-oh-my-claudecode.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/yeachan-heo-oh-my-claudecode","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=yeachan-heo-oh-my-claudecode"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"labring-fastgpt","name":"FastGPT","tagline":"A knowledge-based platform built on LLMs for developing and deploying complex question-answering systems","github_url":"https://github.com/labring/FastGPT","owner":"labring","repo":"FastGPT","owner_avatar_url":"https://avatars.githubusercontent.com/u/102226726?v=4","primary_language":"TypeScript","stars":29366,"forks":7264,"topics":["agent","claude","deepseek","llm","mcp","nextjs","openai","qwen","rag","workflow"],"archived":false,"github_pushed_at":"2026-08-16T15:38:02+00:00","maintenance_label":"Very active","stars_delta_30d":360,"url":"https://www.graphcanon.com/tools/labring-fastgpt","markdown_url":"https://www.graphcanon.com/tools/labring-fastgpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/labring-fastgpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=labring-fastgpt"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"jcodesmore-ai-website-cloner-template","name":"ai-website-cloner-template","tagline":"Clone any website with one command using AI coding agents","github_url":"https://github.com/JCodesMore/ai-website-cloner-template","owner":"JCodesMore","repo":"ai-website-cloner-template","owner_avatar_url":"https://avatars.githubusercontent.com/u/182581310?v=4","primary_language":"JavaScript","stars":32457,"forks":4729,"topics":["ai","ai-agents","ai-tools","automation","boilerplate","claude","claude-code","clone","developer-tools","nextjs","react","reverse-engineering","shadcn-ui","skills","tailwindcss","template","typescript","web-scraping","website-clone"],"archived":false,"github_pushed_at":"2026-08-14T22:02:06+00:00","maintenance_label":"Very active","stars_delta_30d":3493,"url":"https://www.graphcanon.com/tools/jcodesmore-ai-website-cloner-template","markdown_url":"https://www.graphcanon.com/tools/jcodesmore-ai-website-cloner-template.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/jcodesmore-ai-website-cloner-template","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=jcodesmore-ai-website-cloner-template"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"deepset-ai-haystack","name":"haystack","tagline":"Open-source AI orchestration framework for building context-engineered LLM applications.","github_url":"https://github.com/deepset-ai/haystack","owner":"deepset-ai","repo":"haystack","owner_avatar_url":"https://avatars.githubusercontent.com/u/51827949?v=4","primary_language":"Python","stars":26073,"forks":2972,"topics":["agent","agents","ai","gemini","generative-ai","gpt-4","information-retrieval","large-language-models","llm","machine-learning","nlp","orchestration","python","pytorch","question-answering","rag","retrieval-augmented-generation","semantic-search","summarization","transformers"],"archived":false,"github_pushed_at":"2026-08-01T03:06:32+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/deepset-ai-haystack","markdown_url":"https://www.graphcanon.com/tools/deepset-ai-haystack.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/deepset-ai-haystack","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=deepset-ai-haystack"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"hkuds-deeptutor","name":"DeepTutor","tagline":"Lifelong Personalized Tutoring","github_url":"https://github.com/HKUDS/DeepTutor","owner":"HKUDS","repo":"DeepTutor","owner_avatar_url":"https://avatars.githubusercontent.com/u/118165258?v=4","primary_language":"Python","stars":35947,"forks":4530,"topics":["ai-agents","ai-tutor","clawdbot","cli-tool","deepresearch","interactive-learning","large-language-models","multi-agent-systems","rag"],"archived":false,"github_pushed_at":"2026-08-16T18:13:24+00:00","maintenance_label":"Very active","stars_delta_30d":8687,"url":"https://www.graphcanon.com/tools/hkuds-deeptutor","markdown_url":"https://www.graphcanon.com/tools/hkuds-deeptutor.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/hkuds-deeptutor","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=hkuds-deeptutor"}},{"type":"depends_on","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"nirdiamant-genai-agents","name":"GenAI_Agents","tagline":"50+ tutorials and implementations for Generative AI Agent techniques","github_url":"https://github.com/NirDiamant/GenAI_Agents","owner":"NirDiamant","repo":"GenAI_Agents","owner_avatar_url":"https://avatars.githubusercontent.com/u/28316913?v=4","primary_language":"Jupyter Notebook","stars":23814,"forks":3999,"topics":["agentic-ai","agents","ai","ai-agents","autonomous-agents","genai","generative-ai","langchain","langgraph","llm","llms","machine-learning","mcp","multi-agent","multi-agent-systems","openai","python","rag","tutorials"],"archived":false,"github_pushed_at":"2026-08-15T00:52:09+00:00","maintenance_label":"Very active","stars_delta_30d":529,"url":"https://www.graphcanon.com/tools/nirdiamant-genai-agents","markdown_url":"https://www.graphcanon.com/tools/nirdiamant-genai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nirdiamant-genai-agents","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nirdiamant-genai-agents"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"aihubcn-awesome-chinese-llm","name":"Awesome-Chinese-LLM","tagline":"整理开源的中文大语言模型","github_url":"https://github.com/AiHubCN/Awesome-Chinese-LLM","owner":"AiHubCN","repo":"Awesome-Chinese-LLM","owner_avatar_url":"https://avatars.githubusercontent.com/u/29895268?v=4","primary_language":null,"stars":22738,"forks":2134,"topics":["awesome-lists","chatglm","chinese","llama","llm","nlp"],"archived":false,"github_pushed_at":"2026-05-10T05:03:06+00:00","maintenance_label":"Slowing","stars_delta_30d":53,"url":"https://www.graphcanon.com/tools/aihubcn-awesome-chinese-llm","markdown_url":"https://www.graphcanon.com/tools/aihubcn-awesome-chinese-llm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/aihubcn-awesome-chinese-llm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=aihubcn-awesome-chinese-llm"}},{"type":"related","direction":"in","explanation":"Both repositories focus on providing runnable and deployable AI applications, with emphasis on LLM and RAG apps.","successor_context":null,"tool":{"slug":"pathwaycom-llm-app","name":"llm-app","tagline":"Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.","github_url":"https://github.com/pathwaycom/llm-app","owner":"pathwaycom","repo":"llm-app","owner_avatar_url":"https://avatars.githubusercontent.com/u/25750857?v=4","primary_language":"Jupyter Notebook","stars":59037,"forks":1466,"topics":["chatbot","hugging-face","llm","llm-local","llm-prompting","llm-security","llmops","machine-learning","open-ai","pathway","rag","real-time","retrieval-augmented-generation","vector-database","vector-index"],"archived":false,"github_pushed_at":"2026-07-05T17:59:07+00:00","maintenance_label":"Steady","stars_delta_30d":11,"url":"https://www.graphcanon.com/tools/pathwaycom-llm-app","markdown_url":"https://www.graphcanon.com/tools/pathwaycom-llm-app.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pathwaycom-llm-app","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pathwaycom-llm-app"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"simular-ai-agent-s","name":"Agent-S","tagline":"Agent S: an open agentic framework that uses computers like a human","github_url":"https://github.com/simular-ai/Agent-S","owner":"simular-ai","repo":"Agent-S","owner_avatar_url":"https://avatars.githubusercontent.com/u/99358647?v=4","primary_language":"Python","stars":12174,"forks":1423,"topics":["agent-computer-interface","ai-agents","computer-automation","computer-use","computer-use-agent","cua","grounding","gui-agents","in-context-reinforcement-learning","memory","mllm","planning","retrieval-augmented-generation"],"archived":false,"github_pushed_at":"2026-08-01T03:31:09+00:00","maintenance_label":"Active","stars_delta_30d":132,"url":"https://www.graphcanon.com/tools/simular-ai-agent-s","markdown_url":"https://www.graphcanon.com/tools/simular-ai-agent-s.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/simular-ai-agent-s","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=simular-ai-agent-s"}},{"type":"related","direction":"in","explanation":"'omo/lazycodex' and 'awesome-llm-apps' both relate to AI applications that can be run or customized; however, they are distinct offerings with different focuses.","successor_context":null,"tool":{"slug":"code-yeongyu-oh-my-openagent","name":"oh-my-openagent","tagline":"A coding agent for complex codebases, supporting multiple AI agents like ChatGPT and Claude.","github_url":"https://github.com/code-yeongyu/oh-my-openagent","owner":"code-yeongyu","repo":"oh-my-openagent","owner_avatar_url":"https://avatars.githubusercontent.com/u/11153873?v=4","primary_language":"TypeScript","stars":68108,"forks":5562,"topics":["ai","ai-agents","anthropic","chatgpt","claude","claude-skills","codex","cursor","gemini","ide","openai","opencode","orchestration","tui","typescript"],"archived":false,"github_pushed_at":"2026-08-19T16:27:05+00:00","maintenance_label":"Very active","stars_delta_30d":1902,"url":"https://www.graphcanon.com/tools/code-yeongyu-oh-my-openagent","markdown_url":"https://www.graphcanon.com/tools/code-yeongyu-oh-my-openagent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/code-yeongyu-oh-my-openagent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=code-yeongyu-oh-my-openagent"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"langchain4j-langchain4j","name":"langchain4j","tagline":"Java library for building LLM-powered applications on the JVM","github_url":"https://github.com/langchain4j/langchain4j","owner":"langchain4j","repo":"langchain4j","owner_avatar_url":"https://avatars.githubusercontent.com/u/132277850?v=4","primary_language":"Java","stars":12813,"forks":2435,"topics":["anthropic","chatgpt","chroma","embeddings","gemini","gpt","huggingface","java","langchain","llama","llm","llms","milvus","ollama","onnx","openai","openai-api","pgvector","pinecone","vector-database"],"archived":false,"github_pushed_at":"2026-08-06T10:50:58+00:00","maintenance_label":"Very active","stars_delta_30d":265,"url":"https://www.graphcanon.com/tools/langchain4j-langchain4j","markdown_url":"https://www.graphcanon.com/tools/langchain4j-langchain4j.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langchain4j-langchain4j","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langchain4j-langchain4j"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"zilliztech-claude-context","name":"claude-context","tagline":"Code search MCP for Claude Code. Make entire codebase the context for any coding agent.","github_url":"https://github.com/zilliztech/claude-context","owner":"zilliztech","repo":"claude-context","owner_avatar_url":"https://avatars.githubusercontent.com/u/18416694?v=4","primary_language":"TypeScript","stars":12408,"forks":913,"topics":["agent","agentic-rag","ai-coding","claude-code","code-generation","code-search","cursor","embedding","gemini-cli","mcp","merkle-tree","nodejs","openai","rag","semantic-search","typescript","vector-database","vibe-coding","voyage-ai","vscode-extension"],"archived":false,"github_pushed_at":"2026-07-14T12:00:38+00:00","maintenance_label":"Steady","stars_delta_30d":249,"url":"https://www.graphcanon.com/tools/zilliztech-claude-context","markdown_url":"https://www.graphcanon.com/tools/zilliztech-claude-context.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/zilliztech-claude-context","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=zilliztech-claude-context"}},{"type":"related","direction":"in","explanation":"Front-End Checklist complements Awesome LLM Apps by ensuring that the front-end aspects of these apps adhere to best practices, enhancing both accessibility and quality.","successor_context":null,"tool":{"slug":"thedaviddias-front-end-checklist","name":"Front-End-Checklist","tagline":"The essential checklist for modern web development, for humans and AI agents","github_url":"https://github.com/thedaviddias/Front-End-Checklist","owner":"thedaviddias","repo":"Front-End-Checklist","owner_avatar_url":"https://avatars.githubusercontent.com/u/237229?v=4","primary_language":"MDX","stars":73569,"forks":6663,"topics":["ai-agent","ai-agents","checklist","css","front-end-developer-tool","front-end-development","frontend","guidelines","html","javascript","lists","reference","resources","rules","web-development"],"archived":false,"github_pushed_at":"2026-08-14T05:59:25+00:00","maintenance_label":"Very active","stars_delta_30d":309,"url":"https://www.graphcanon.com/tools/thedaviddias-front-end-checklist","markdown_url":"https://www.graphcanon.com/tools/thedaviddias-front-end-checklist.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/thedaviddias-front-end-checklist","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=thedaviddias-front-end-checklist"}},{"type":"related","direction":"in","explanation":"Awesome LLM Apps is a collection of AI Agent & RAG apps which includes many kinds of applications that can be built using AnythingLLM.","successor_context":null,"tool":{"slug":"mintplex-labs-anything-llm","name":"anything-llm","tagline":"Self-hosted agent experience with deployment scripts for multiple environments","github_url":"https://github.com/Mintplex-Labs/anything-llm","owner":"Mintplex-Labs","repo":"anything-llm","owner_avatar_url":"https://avatars.githubusercontent.com/u/134426827?v=4","primary_language":"JavaScript","stars":64716,"forks":7132,"topics":["agent-computer","agent-harness","agent-orchestration","agentic-ai","ai-agents","computer-use","hermes-agent","llm","local-ai","localai","multimodal","no-code","open-claw","rag","self-hosted-ai","vector-database"],"archived":false,"github_pushed_at":"2026-08-13T22:31:08+00:00","maintenance_label":"Very active","stars_delta_30d":1371,"url":"https://www.graphcanon.com/tools/mintplex-labs-anything-llm","markdown_url":"https://www.graphcanon.com/tools/mintplex-labs-anything-llm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/mintplex-labs-anything-llm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=mintplex-labs-anything-llm"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"sigoden-aichat","name":"aichat","tagline":"All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents","github_url":"https://github.com/sigoden/aichat","owner":"sigoden","repo":"aichat","owner_avatar_url":"https://avatars.githubusercontent.com/u/4012553?v=4","primary_language":"Rust","stars":10365,"forks":731,"topics":["ai","ai-agents","chatbot","claude","cli","function-calling","gemini","llm","ollama","openai","rag","rust","shell","webui"],"archived":false,"github_pushed_at":"2026-02-23T11:16:42+00:00","maintenance_label":"Slowing","stars_delta_30d":111,"url":"https://www.graphcanon.com/tools/sigoden-aichat","markdown_url":"https://www.graphcanon.com/tools/sigoden-aichat.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/sigoden-aichat","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=sigoden-aichat"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"ai4finance-foundation-finrobot","name":"FinRobot","tagline":"FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs 🚀 🚀 🚀","github_url":"https://github.com/AI4Finance-Foundation/FinRobot","owner":"AI4Finance-Foundation","repo":"FinRobot","owner_avatar_url":"https://avatars.githubusercontent.com/u/68813910?v=4","primary_language":"Jupyter Notebook","stars":7796,"forks":1321,"topics":["aiagent","chatgpt","finance","fingpt","large-language-models","multimodal-deep-learning","prompt-engineering","robo-advisor"],"archived":false,"github_pushed_at":"2026-07-27T07:06:05+00:00","maintenance_label":"Active","stars_delta_30d":214,"url":"https://www.graphcanon.com/tools/ai4finance-foundation-finrobot","markdown_url":"https://www.graphcanon.com/tools/ai4finance-foundation-finrobot.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ai4finance-foundation-finrobot","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ai4finance-foundation-finrobot"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"woooodyy-llm-agent-paper-list","name":"LLM-Agent-Paper-List","tagline":"Must-read papers for LLM-based agents.","github_url":"https://github.com/WooooDyy/LLM-Agent-Paper-List","owner":"WooooDyy","repo":"LLM-Agent-Paper-List","owner_avatar_url":"https://avatars.githubusercontent.com/u/48242229?v=4","primary_language":null,"stars":8172,"forks":495,"topics":["agent","large-language-models","llm","nlp","survey"],"archived":false,"github_pushed_at":"2025-09-12T03:08:58+00:00","maintenance_label":"Slowing","stars_delta_30d":4,"url":"https://www.graphcanon.com/tools/woooodyy-llm-agent-paper-list","markdown_url":"https://www.graphcanon.com/tools/woooodyy-llm-agent-paper-list.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/woooodyy-llm-agent-paper-list","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=woooodyy-llm-agent-paper-list"}},{"type":"alternative","direction":"in","explanation":"Both repositories list AI Agent & RAG apps that users can run and customize, making them alternatives for developers seeking pre-configured AI agent applications.","successor_context":null,"tool":{"slug":"sickn33-antigravity-awesome-skills","name":"agentic-awesome-skills","tagline":"Library of agentic skills for various AI agents","github_url":"https://github.com/sickn33/agentic-awesome-skills","owner":"sickn33","repo":"agentic-awesome-skills","owner_avatar_url":"https://avatars.githubusercontent.com/u/184072420?v=4","primary_language":"Python","stars":45139,"forks":6610,"topics":["agent-skills","agentic-skills","ai-agent-skills","ai-agents","ai-coding","ai-workflows","antigravity","antigravity-skills","claude-code","claude-code-skills","codex-cli","codex-skills","cursor","cursor-skills","developer-tools","gemini-cli","gemini-skills","kiro","mcp","skill-library"],"archived":false,"github_pushed_at":"2026-08-19T06:52:05+00:00","maintenance_label":"Very active","stars_delta_30d":1538,"url":"https://www.graphcanon.com/tools/sickn33-antigravity-awesome-skills","markdown_url":"https://www.graphcanon.com/tools/sickn33-antigravity-awesome-skills.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/sickn33-antigravity-awesome-skills","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=sickn33-antigravity-awesome-skills"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"startrail-org-pixelrag","name":"PixelRAG","tagline":"Scalable pixel-native search for multimodal data","github_url":"https://github.com/StarTrail-org/PixelRAG","owner":"StarTrail-org","repo":"PixelRAG","owner_avatar_url":"https://avatars.githubusercontent.com/u/288858980?v=4","primary_language":"Python","stars":9586,"forks":817,"topics":["agent","ai","memory","multimodal","rag","search","searchengine","vision","vlm"],"archived":false,"github_pushed_at":"2026-07-31T08:52:00+00:00","maintenance_label":"Active","stars_delta_30d":2777,"url":"https://www.graphcanon.com/tools/startrail-org-pixelrag","markdown_url":"https://www.graphcanon.com/tools/startrail-org-pixelrag.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/startrail-org-pixelrag","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=startrail-org-pixelrag"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"princeton-nlp-tree-of-thought-llm","name":"tree-of-thought-llm","tagline":"[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models","github_url":"https://github.com/princeton-nlp/tree-of-thought-llm","owner":"princeton-nlp","repo":"tree-of-thought-llm","owner_avatar_url":"https://avatars.githubusercontent.com/u/44678448?v=4","primary_language":"Python","stars":6048,"forks":624,"topics":["large-language-models","llm","prompting","tree-of-thoughts","tree-search"],"archived":false,"github_pushed_at":"2025-01-16T20:02:00+00:00","maintenance_label":"Dormant","stars_delta_30d":18,"url":"https://www.graphcanon.com/tools/princeton-nlp-tree-of-thought-llm","markdown_url":"https://www.graphcanon.com/tools/princeton-nlp-tree-of-thought-llm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/princeton-nlp-tree-of-thought-llm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=princeton-nlp-tree-of-thought-llm"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"openbmb-ultrarag","name":"UltraRAG","tagline":"A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines","github_url":"https://github.com/OpenBMB/UltraRAG","owner":"OpenBMB","repo":"UltraRAG","owner_avatar_url":"https://avatars.githubusercontent.com/u/89920203?v=4","primary_language":"Python","stars":5670,"forks":437,"topics":["deepseek","demo","easy","embedding","flask","gpt","huggingface-transformers","llm","mcp","multimodal","openai","qwen","rag","sentence-transformers","ui","vllm","vlm"],"archived":false,"github_pushed_at":"2026-08-17T03:24:42+00:00","maintenance_label":"Very active","stars_delta_30d":18,"url":"https://www.graphcanon.com/tools/openbmb-ultrarag","markdown_url":"https://www.graphcanon.com/tools/openbmb-ultrarag.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/openbmb-ultrarag","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=openbmb-ultrarag"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"packtpublishing-llm-engineers-handbook","name":"LLM-Engineers-Handbook","tagline":"LLM's practical guide: From fundamentals to deploying advanced LLM and RAG apps","github_url":"https://github.com/PacktPublishing/LLM-Engineers-Handbook","owner":"PacktPublishing","repo":"LLM-Engineers-Handbook","owner_avatar_url":"https://avatars.githubusercontent.com/u/10974906?v=4","primary_language":"Python","stars":5286,"forks":1280,"topics":["aws","fine-tuning-llm","genai","llm","llm-evaluation","llmops","ml-system-design","mlops","rag"],"archived":false,"github_pushed_at":"2026-04-22T08:25:03+00:00","maintenance_label":"Slowing","stars_delta_30d":49,"url":"https://www.graphcanon.com/tools/packtpublishing-llm-engineers-handbook","markdown_url":"https://www.graphcanon.com/tools/packtpublishing-llm-engineers-handbook.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/packtpublishing-llm-engineers-handbook","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=packtpublishing-llm-engineers-handbook"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"nvidia-generativeaiexamples","name":"GenerativeAIExamples","tagline":"Generative AI reference workflows for accelerated infrastructure and microservice architecture","github_url":"https://github.com/NVIDIA/GenerativeAIExamples","owner":"NVIDIA","repo":"GenerativeAIExamples","owner_avatar_url":"https://avatars.githubusercontent.com/u/1728152?v=4","primary_language":"Jupyter Notebook","stars":4149,"forks":1095,"topics":["gpu-acceleration","large-language-models","llm","llm-inference","microservice","nemo","rag","retrieval-augmented-generation","tensorrt","triton-inference-server"],"archived":false,"github_pushed_at":"2026-08-05T16:54:49+00:00","maintenance_label":"Active","stars_delta_30d":29,"url":"https://www.graphcanon.com/tools/nvidia-generativeaiexamples","markdown_url":"https://www.graphcanon.com/tools/nvidia-generativeaiexamples.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nvidia-generativeaiexamples","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nvidia-generativeaiexamples"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"next-gpt-next-gpt","name":"NExT-GPT","tagline":"Code and models for ICML 2024 paper on multimodal large language model","github_url":"https://github.com/NExT-GPT/NExT-GPT","owner":"NExT-GPT","repo":"NExT-GPT","owner_avatar_url":"https://avatars.githubusercontent.com/u/143576855?v=4","primary_language":"Python","stars":3637,"forks":359,"topics":["chatgpt","foundation-models","gpt-4","instruction-tuning","large-language-models","llm","mllm","multi-modal-chatgpt","multimodal","visual-language-learning"],"archived":false,"github_pushed_at":"2025-05-13T09:57:47+00:00","maintenance_label":"Dormant","stars_delta_30d":-1,"url":"https://www.graphcanon.com/tools/next-gpt-next-gpt","markdown_url":"https://www.graphcanon.com/tools/next-gpt-next-gpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/next-gpt-next-gpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=next-gpt-next-gpt"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"decodingai-magazine-second-brain-ai-assistant-course","name":"second-brain-ai-assistant-course","tagline":"Course for building a Second Brain AI assistant with various AI techniques","github_url":"https://github.com/decodingai-magazine/second-brain-ai-assistant-course","owner":"decodingai-magazine","repo":"second-brain-ai-assistant-course","owner_avatar_url":"https://avatars.githubusercontent.com/u/153360176?v=4","primary_language":"Jupyter Notebook","stars":3050,"forks":522,"topics":["agents","ai-systems","data-engineering","fine-tuning","huggingface","llm","llmops","mlops","openai","python","rag"],"archived":false,"github_pushed_at":"2026-04-06T12:36:33+00:00","maintenance_label":"Slowing","stars_delta_30d":129,"url":"https://www.graphcanon.com/tools/decodingai-magazine-second-brain-ai-assistant-course","markdown_url":"https://www.graphcanon.com/tools/decodingai-magazine-second-brain-ai-assistant-course.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/decodingai-magazine-second-brain-ai-assistant-course","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=decodingai-magazine-second-brain-ai-assistant-course"}},{"type":"related","direction":"in","explanation":"Both provide a range of AI agent & RAG applications, with 'ai-engineering-hub' offering in-depth tutorials and projects.","successor_context":null,"tool":{"slug":"patchy631-ai-engineering-hub","name":"ai-engineering-hub","tagline":"Tutorials on LLMs, RAGs, and real-world AI agent applications","github_url":"https://github.com/patchy631/ai-engineering-hub","owner":"patchy631","repo":"ai-engineering-hub","owner_avatar_url":"https://avatars.githubusercontent.com/u/38653995?v=4","primary_language":"Jupyter Notebook","stars":37020,"forks":6107,"topics":["agents","ai","llms","machine-learning","mcp","rag"],"archived":false,"github_pushed_at":"2026-07-27T18:43:06+00:00","maintenance_label":"Active","stars_delta_30d":463,"url":"https://www.graphcanon.com/tools/patchy631-ai-engineering-hub","markdown_url":"https://www.graphcanon.com/tools/patchy631-ai-engineering-hub.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/patchy631-ai-engineering-hub","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=patchy631-ai-engineering-hub"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"langwatch-better-agents","name":"better-agents","tagline":"Standards for building agents, better","github_url":"https://github.com/langwatch/better-agents","owner":"langwatch","repo":"better-agents","owner_avatar_url":"https://avatars.githubusercontent.com/u/146763322?v=4","primary_language":"TypeScript","stars":1553,"forks":152,"topics":["agent-framework","agent-testing","ai-agents","cli","dev-tool","lllm","llmops","mcp","python","typescript"],"archived":false,"github_pushed_at":"2026-06-03T17:12:53+00:00","maintenance_label":"Steady","stars_delta_30d":1,"url":"https://www.graphcanon.com/tools/langwatch-better-agents","markdown_url":"https://www.graphcanon.com/tools/langwatch-better-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langwatch-better-agents","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langwatch-better-agents"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"lioensky-vcptoolbox","name":"VCPToolBox","tagline":"VCP acts as middleware between AI model APIs and frontend applications for AGI OS development. It enhances LLMs with statefulness, memory, tool invocation capabilities.","github_url":"https://github.com/lioensky/VCPToolBox","owner":"lioensky","repo":"VCPToolBox","owner_avatar_url":"https://avatars.githubusercontent.com/u/140802180?v=4","primary_language":"JavaScript","stars":2257,"forks":368,"topics":["agent-framework","ai-agent","ai-assistant","ai-companion","context-management","context-management-system","function-calling","llm","multi-model","nodejs","openai-compatible","plugin-system","prompt-engineering","rag","rust","vector-database","vue"],"archived":false,"github_pushed_at":"2026-08-21T08:40:36+00:00","maintenance_label":"Very active","stars_delta_30d":60,"url":"https://www.graphcanon.com/tools/lioensky-vcptoolbox","markdown_url":"https://www.graphcanon.com/tools/lioensky-vcptoolbox.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/lioensky-vcptoolbox","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=lioensky-vcptoolbox"}},{"type":"related","direction":"in","explanation":"Both are lists or catalogs of applications and resources related to LLMs and generative AI.","successor_context":null,"tool":{"slug":"aishwaryanr-awesome-generative-ai-guide","name":"awesome-generative-ai-guide","tagline":"A curated list for generative AI research and learning resources","github_url":"https://github.com/aishwaryanr/awesome-generative-ai-guide","owner":"aishwaryanr","repo":"awesome-generative-ai-guide","owner_avatar_url":"https://avatars.githubusercontent.com/u/12550285?v=4","primary_language":"HTML","stars":28771,"forks":5873,"topics":["awesome","awesome-list","generative-ai","interview-questions","large-language-models","llms","notebook-jupyter","vision-and-language"],"archived":false,"github_pushed_at":"2026-08-12T20:24:24+00:00","maintenance_label":"Very active","stars_delta_30d":474,"url":"https://www.graphcanon.com/tools/aishwaryanr-awesome-generative-ai-guide","markdown_url":"https://www.graphcanon.com/tools/aishwaryanr-awesome-generative-ai-guide.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/aishwaryanr-awesome-generative-ai-guide","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=aishwaryanr-awesome-generative-ai-guide"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"neurocult-agency","name":"agency","tagline":"Library for exploring Large Language Models and generative AI in Go","github_url":"https://github.com/neurocult/agency","owner":"neurocult","repo":"agency","owner_avatar_url":"https://avatars.githubusercontent.com/u/112250396?v=4","primary_language":"Go","stars":514,"forks":36,"topics":["agents","ai","artificial-general-intelligence","artificial-intelligence","artificial-neural-networks","autonomous-agents","chatgpt","generative-ai","go","golang","gpt","language-models","llm","llmops","machine-learning","neural-network","nlp","openai","rag","vector-database"],"archived":false,"github_pushed_at":"2025-01-08T06:11:11+00:00","maintenance_label":"Dormant","stars_delta_30d":2,"url":"https://www.graphcanon.com/tools/neurocult-agency","markdown_url":"https://www.graphcanon.com/tools/neurocult-agency.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/neurocult-agency","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=neurocult-agency"}},{"type":"alternative","direction":"in","explanation":"This list is another curated repository focused on AI applications, which can be considered an alternative or complementary resource to awesome-ai-agents.","successor_context":null,"tool":{"slug":"e2b-dev-awesome-ai-agents","name":"awesome-ai-agents","tagline":"A list of AI autonomous agents","github_url":"https://github.com/e2b-dev/awesome-ai-agents","owner":"e2b-dev","repo":"awesome-ai-agents","owner_avatar_url":"https://avatars.githubusercontent.com/u/129434473?v=4","primary_language":null,"stars":29538,"forks":3335,"topics":["agent","ai","artificial-intelligence","autogpt","autonomous-agents","awesome","babyagi","copilot","gpt","gpt-4","gpt-engineer","openai","python"],"archived":false,"github_pushed_at":"2026-07-09T17:41:48+00:00","maintenance_label":"Steady","stars_delta_30d":638,"url":"https://www.graphcanon.com/tools/e2b-dev-awesome-ai-agents","markdown_url":"https://www.graphcanon.com/tools/e2b-dev-awesome-ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/e2b-dev-awesome-ai-agents","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=e2b-dev-awesome-ai-agents"}},{"type":"related","direction":"in","explanation":"CloakBrowser can be an important component in the creation of AI and RAG apps that require browser-based automation, integrating into many of the applications listed on 'awesome-llm-apps'.","successor_context":null,"tool":{"slug":"cloakhq-cloakbrowser","name":"CloakBrowser","tagline":"Stealth Chromium that passes every bot detection test","github_url":"https://github.com/CloakHQ/CloakBrowser","owner":"CloakHQ","repo":"CloakBrowser","owner_avatar_url":"https://avatars.githubusercontent.com/u/263128610?v=4","primary_language":"Python","stars":30394,"forks":2517,"topics":["ai-agents","anti-detect","antidetect-browser","bot-detection","browser-automation","captcha-bypass","chromium","cloudflare","cloudflare-bypass","fingerprint","headless-browser","playwright","puppeteer","python","recaptcha","selenium","stealth-browser","undetected","web-scraping","webscraping"],"archived":false,"github_pushed_at":"2026-08-18T19:37:20+00:00","maintenance_label":"Very active","stars_delta_30d":1725,"url":"https://www.graphcanon.com/tools/cloakhq-cloakbrowser","markdown_url":"https://www.graphcanon.com/tools/cloakhq-cloakbrowser.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/cloakhq-cloakbrowser","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=cloakhq-cloakbrowser"}},{"type":"integrates_with","direction":"in","explanation":"Awesome LLM Apps provides a collection of runnable applications which could leverage the subagents curated in awesome-claude-code-subagents.","successor_context":null,"tool":{"slug":"voltagent-awesome-claude-code-subagents","name":"awesome-claude-code-subagents","tagline":"A collection of specialized Claude Code subagents for development use cases","github_url":"https://github.com/VoltAgent/awesome-claude-code-subagents","owner":"VoltAgent","repo":"awesome-claude-code-subagents","owner_avatar_url":"https://avatars.githubusercontent.com/u/201282378?v=4","primary_language":"Shell","stars":24470,"forks":2844,"topics":["ai-agent-framework","ai-agent-tools","ai-agents","awesome","awesome-list","claude","claude-ai","claude-code-subagents","claude-subagents","subagents"],"archived":false,"github_pushed_at":"2026-08-12T13:34:46+00:00","maintenance_label":"Active","stars_delta_30d":940,"url":"https://www.graphcanon.com/tools/voltagent-awesome-claude-code-subagents","markdown_url":"https://www.graphcanon.com/tools/voltagent-awesome-claude-code-subagents.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/voltagent-awesome-claude-code-subagents","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=voltagent-awesome-claude-code-subagents"}},{"type":"related","direction":"in","explanation":"Both repositories curate collections of AI applications or templates, but `awesome-n8n-templates` focuses specifically on n8n workflows while `awesome-llm-apps` is more general.","successor_context":null,"tool":{"slug":"enescingoz-awesome-n8n-templates","name":"awesome-n8n-templates","tagline":"Repository containing over 280 free automation templates for n8n, supporting a variety of services including chatbots and DevOps.","github_url":"https://github.com/enescingoz/awesome-n8n-templates","owner":"enescingoz","repo":"awesome-n8n-templates","owner_avatar_url":"https://avatars.githubusercontent.com/u/60349121?v=4","primary_language":null,"stars":24794,"forks":6384,"topics":["ai-agents","ai-automation","automation","automation-templates","awesome","awesome-list","integration","low-code","n8n","n8n-automation","n8n-template","no-code-ai","no-code-automation","self-hosted","telegram-bot","workflow-automation"],"archived":false,"github_pushed_at":"2026-08-18T18:57:38+00:00","maintenance_label":"Very active","stars_delta_30d":788,"url":"https://www.graphcanon.com/tools/enescingoz-awesome-n8n-templates","markdown_url":"https://www.graphcanon.com/tools/enescingoz-awesome-n8n-templates.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/enescingoz-awesome-n8n-templates","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=enescingoz-awesome-n8n-templates"}},{"type":"related","direction":"in","explanation":"QwenPaw, like the curated list of awesome LLM apps, aims at providing a variety of AI agent applications that can be run, customized and deployed quickly.","successor_context":null,"tool":{"slug":"agentscope-ai-qwenpaw","name":"QwenPaw","tagline":"Your Personal AI Assistant","github_url":"https://github.com/agentscope-ai/QwenPaw","owner":"agentscope-ai","repo":"QwenPaw","owner_avatar_url":"https://avatars.githubusercontent.com/u/211762292?v=4","primary_language":"Python","stars":33990,"forks":3007,"topics":["agent","agent-harness","agentscope","ai-agent","ai-agents","chatbot","harness-engineering","llm-tools","llms","loop-engineering","mcp","personal-ai-assistant","self-hosted","skills","super-agent","webui"],"archived":false,"github_pushed_at":"2026-08-18T10:56:26+00:00","maintenance_label":"Very active","stars_delta_30d":10578,"url":"https://www.graphcanon.com/tools/agentscope-ai-qwenpaw","markdown_url":"https://www.graphcanon.com/tools/agentscope-ai-qwenpaw.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/agentscope-ai-qwenpaw","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=agentscope-ai-qwenpaw"}},{"type":"related","direction":"in","explanation":"Awesome-LLM-Apps lists various AI applications including RAG and Agent systems which DB-GPT is a contributor to, albeit in an adjacent role.","successor_context":null,"tool":{"slug":"eosphoros-ai-db-gpt","name":"DB-GPT","tagline":"open-source agentic AI data assistant for the next generation of AI + Data products","github_url":"https://github.com/eosphoros-ai/DB-GPT","owner":"eosphoros-ai","repo":"DB-GPT","owner_avatar_url":"https://avatars.githubusercontent.com/u/140580304?v=4","primary_language":"Python","stars":19740,"forks":2882,"topics":["agents","bgi","database","deepseek","gpt","gpt-4","hacktoberfest","llm","private","rag","security","vicuna"],"archived":false,"github_pushed_at":"2026-08-17T12:25:25+00:00","maintenance_label":"Very active","stars_delta_30d":239,"url":"https://www.graphcanon.com/tools/eosphoros-ai-db-gpt","markdown_url":"https://www.graphcanon.com/tools/eosphoros-ai-db-gpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/eosphoros-ai-db-gpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=eosphoros-ai-db-gpt"}},{"type":"related","direction":"in","explanation":"Both repositories are collections of applications and resources related to large language models, but Awesome-LLM-Apps focus more on runnable AI agents and RAG apps, while Awesome-Multimodal-Large-Language-Models provide a survey and resource organization for multimodal advancements.","successor_context":null,"tool":{"slug":"bradyfu-awesome-multimodal-large-language-models","name":"Awesome-Multimodal-Large-Language-Models","tagline":"Latest Advances on Multimodal Large Language Models","github_url":"https://github.com/BradyFU/Awesome-Multimodal-Large-Language-Models","owner":"BradyFU","repo":"Awesome-Multimodal-Large-Language-Models","owner_avatar_url":"https://avatars.githubusercontent.com/u/54254631?v=4","primary_language":null,"stars":17978,"forks":1133,"topics":["chain-of-thought","in-context-learning","instruction-following","instruction-tuning","large-language-models","large-vision-language-model","large-vision-language-models","multi-modality","multimodal-chain-of-thought","multimodal-in-context-learning","multimodal-instruction-tuning","multimodal-large-language-models","visual-instruction-tuning"],"archived":false,"github_pushed_at":"2026-08-14T17:17:50+00:00","maintenance_label":"Very active","stars_delta_30d":29,"url":"https://www.graphcanon.com/tools/bradyfu-awesome-multimodal-large-language-models","markdown_url":"https://www.graphcanon.com/tools/bradyfu-awesome-multimodal-large-language-models.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/bradyfu-awesome-multimodal-large-language-models","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=bradyfu-awesome-multimodal-large-language-models"}},{"type":"related","direction":"in","explanation":"Awesome LLM Apps curates a list of AI Agent & RAG apps you can actually run, which could potentially be integrated with the self-hosted setup from the starter kit.","successor_context":null,"tool":{"slug":"n8n-io-self-hosted-ai-starter-kit","name":"self-hosted-ai-starter-kit","tagline":"Self-hosted AI Starter Kit template for local AI workflows","github_url":"https://github.com/n8n-io/self-hosted-ai-starter-kit","owner":"n8n-io","repo":"self-hosted-ai-starter-kit","owner_avatar_url":"https://avatars.githubusercontent.com/u/45487711?v=4","primary_language":null,"stars":15190,"forks":3807,"topics":["ai","ai-agents","low-code","self-hosted","starter-kit"],"archived":false,"github_pushed_at":"2026-07-23T11:28:09+00:00","maintenance_label":"Active","stars_delta_30d":94,"url":"https://www.graphcanon.com/tools/n8n-io-self-hosted-ai-starter-kit","markdown_url":"https://www.graphcanon.com/tools/n8n-io-self-hosted-ai-starter-kit.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/n8n-io-self-hosted-ai-starter-kit","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=n8n-io-self-hosted-ai-starter-kit"}},{"type":"related","direction":"in","explanation":"waoowaoo and awesome-llm-apps both deal with AI applications, but waoowaoo is a specific tool for film & video production while awesome-llm-apps provides a list of various LLM apps that can be run and customized.","successor_context":null,"tool":{"slug":"waooai-waoowaoo","name":"waoowaoo","tagline":"Industry-first professional AI Agent platform for controllable film & video production.","github_url":"https://github.com/waooAI/waoowaoo","owner":"waooAI","repo":"waoowaoo","owner_avatar_url":"https://avatars.githubusercontent.com/u/264387079?v=4","primary_language":"TypeScript","stars":13700,"forks":3029,"topics":["ai-agent","ai-agents","automation","film-production","generative-ai","short-drama","storyboard","video-generation"],"archived":false,"github_pushed_at":"2026-08-13T13:31:09+00:00","maintenance_label":"Very active","stars_delta_30d":409,"url":"https://www.graphcanon.com/tools/waooai-waoowaoo","markdown_url":"https://www.graphcanon.com/tools/waooai-waoowaoo.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/waooai-waoowaoo","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=waooai-waoowaoo"}},{"type":"related","direction":"in","explanation":"E2B can be one of the tools listed in awesome-llm-apps, useful for developers looking to secure AI-generated code execution within isolated sandbox environments.","successor_context":null,"tool":{"slug":"e2b-dev-e2b","name":"E2B","tagline":"Open-source, secure environment with real-world tools for enterprise-grade agents","github_url":"https://github.com/e2b-dev/E2B","owner":"e2b-dev","repo":"E2B","owner_avatar_url":"https://avatars.githubusercontent.com/u/129434473?v=4","primary_language":"Python","stars":13413,"forks":993,"topics":["agent","ai","ai-agent","ai-agents","code-interpreter","copilot","development","devtools","gpt","gpt-4","javascript","llm","nextjs","openai","python","react","software","typescript"],"archived":false,"github_pushed_at":"2026-08-13T23:32:08+00:00","maintenance_label":"Very active","stars_delta_30d":410,"url":"https://www.graphcanon.com/tools/e2b-dev-e2b","markdown_url":"https://www.graphcanon.com/tools/e2b-dev-e2b.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/e2b-dev-e2b","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=e2b-dev-e2b"}},{"type":"related","direction":"in","explanation":"Both gather information on LLM-based applications or resources; however, LLMSurvey focuses more on foundational research and knowledge while awesome-llm-apps compiles practical deployable applications.","successor_context":null,"tool":{"slug":"rucaibox-llmsurvey","name":"LLMSurvey","tagline":"A comprehensive collection of papers and resources related to Large Language Models.","github_url":"https://github.com/RUCAIBox/LLMSurvey","owner":"RUCAIBox","repo":"LLMSurvey","owner_avatar_url":"https://avatars.githubusercontent.com/u/54706620?v=4","primary_language":"Python","stars":12205,"forks":931,"topics":["chain-of-thought","chatgpt","in-context-learning","instruction-tuning","large-language-models","llm","llms","natural-language-processing","pre-trained-language-models","pre-training","rlhf"],"archived":false,"github_pushed_at":"2025-03-11T09:51:42+00:00","maintenance_label":"Dormant","stars_delta_30d":18,"url":"https://www.graphcanon.com/tools/rucaibox-llmsurvey","markdown_url":"https://www.graphcanon.com/tools/rucaibox-llmsurvey.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/rucaibox-llmsurvey","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=rucaibox-llmsurvey"}},{"type":"related","direction":"in","explanation":"PocketFlow-Tutorial-Codebase-Knowledge provides a framework to create tutorials and extract knowledge from codebases, which can be seen as an LLM application itself, making it related to the collection of applications in awesome-llm-apps.","successor_context":null,"tool":{"slug":"the-pocket-pocketflow-tutorial-codebase-knowledge","name":"PocketFlow-Tutorial-Codebase-Knowledge","tagline":"Generates tutorials from codebases using LLMs","github_url":"https://github.com/The-Pocket/PocketFlow-Tutorial-Codebase-Knowledge","owner":"The-Pocket","repo":"PocketFlow-Tutorial-Codebase-Knowledge","owner_avatar_url":"https://avatars.githubusercontent.com/u/193350244?v=4","primary_language":"Python","stars":12621,"forks":1446,"topics":["coding","large-language-model","large-language-models","llm","llm-agent","llm-agents","llm-application","llm-apps","llm-framework","llm-frameworks","llms","pocket-flow","pocketflow"],"archived":false,"github_pushed_at":"2026-05-31T01:26:41+00:00","maintenance_label":"Steady","stars_delta_30d":176,"url":"https://www.graphcanon.com/tools/the-pocket-pocketflow-tutorial-codebase-knowledge","markdown_url":"https://www.graphcanon.com/tools/the-pocket-pocketflow-tutorial-codebase-knowledge.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/the-pocket-pocketflow-tutorial-codebase-knowledge","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=the-pocket-pocketflow-tutorial-codebase-knowledge"}},{"type":"related","direction":"in","explanation":"While both repositories curate applications and projects involving LLMs, they do so with slightly different focuses.","successor_context":null,"tool":{"slug":"steven2358-awesome-generative-ai","name":"awesome-generative-ai","tagline":"A curated list of modern Generative Artificial Intelligence projects and services","github_url":"https://github.com/steven2358/awesome-generative-ai","owner":"steven2358","repo":"awesome-generative-ai","owner_avatar_url":"https://avatars.githubusercontent.com/u/164072?v=4","primary_language":null,"stars":12501,"forks":1990,"topics":["ai","artificial-intelligence","awesome","awesome-list","generative-ai","generative-art","large-language-models","llm"],"archived":false,"github_pushed_at":"2026-08-03T10:58:05+00:00","maintenance_label":"Active","stars_delta_30d":160,"url":"https://www.graphcanon.com/tools/steven2358-awesome-generative-ai","markdown_url":"https://www.graphcanon.com/tools/steven2358-awesome-generative-ai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/steven2358-awesome-generative-ai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=steven2358-awesome-generative-ai"}},{"type":"related","direction":"in","explanation":"Although 'awesome-llm-apps' is a collection of applications, FastMCP itself can be considered as an LLM application resource that helps in developing AI agents.","successor_context":null,"tool":{"slug":"prefecthq-fastmcp","name":"fastmcp","tagline":"The fast Pythonic way to build MCP servers and clients","github_url":"https://github.com/PrefectHQ/fastmcp","owner":"PrefectHQ","repo":"fastmcp","owner_avatar_url":"https://avatars.githubusercontent.com/u/39270919?v=4","primary_language":"Python","stars":26846,"forks":2187,"topics":["agents","fastmcp","llms","mcp","mcp-clients","mcp-servers","mcp-tools","model-context-protocol","python"],"archived":false,"github_pushed_at":"2026-07-26T04:12:21+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/prefecthq-fastmcp","markdown_url":"https://www.graphcanon.com/tools/prefecthq-fastmcp.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/prefecthq-fastmcp","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=prefecthq-fastmcp"}},{"type":"alternative","direction":"in","explanation":"Both repositories curate a significant number of AI-related resources, but their specific focus areas differ (collections of apps vs libraries).","successor_context":null,"tool":{"slug":"kalyanks-nlp-llm-engineer-toolkit","name":"llm-engineer-toolkit","tagline":"A curated list of over 120 LLM libraries categorized.","github_url":"https://github.com/KalyanKS-NLP/llm-engineer-toolkit","owner":"KalyanKS-NLP","repo":"llm-engineer-toolkit","owner_avatar_url":"https://avatars.githubusercontent.com/u/202506543?v=4","primary_language":null,"stars":10767,"forks":1682,"topics":["ai-engineer","generative-ai","large-language-models","llm-engineer","llms"],"archived":false,"github_pushed_at":"2026-08-16T13:05:43+00:00","maintenance_label":"Very active","stars_delta_30d":106,"url":"https://www.graphcanon.com/tools/kalyanks-nlp-llm-engineer-toolkit","markdown_url":"https://www.graphcanon.com/tools/kalyanks-nlp-llm-engineer-toolkit.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/kalyanks-nlp-llm-engineer-toolkit","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=kalyanks-nlp-llm-engineer-toolkit"}},{"type":"related","direction":"in","explanation":"`LLMsPracticalGuide` and `awesome-llm-apps` are both curated lists, but the former focuses on practical guides, papers, and resources surveying LLMs while the latter is about runnable AI agent & RAG applications.","successor_context":null,"tool":{"slug":"mooler0410-llmspracticalguide","name":"LLMsPracticalGuide","tagline":"A curated list of practical guide resources of LLMs","github_url":"https://github.com/Mooler0410/LLMsPracticalGuide","owner":"Mooler0410","repo":"LLMsPracticalGuide","owner_avatar_url":"https://avatars.githubusercontent.com/u/37475129?v=4","primary_language":null,"stars":10196,"forks":788,"topics":["large-language-models","natural-language-processing","nlp","survey"],"archived":false,"github_pushed_at":"2026-04-08T18:26:44+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/mooler0410-llmspracticalguide","markdown_url":"https://www.graphcanon.com/tools/mooler0410-llmspracticalguide.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/mooler0410-llmspracticalguide","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=mooler0410-llmspracticalguide"}},{"type":"related","direction":"in","explanation":"Awesome LLM Apps is a curated list of applications, which includes frameworks like AutoAgent. They are related in terms of their focus on AI agents but have different purposes.","successor_context":null,"tool":{"slug":"hkuds-autoagent","name":"AutoAgent","tagline":"Fully-Automated and Zero-Code LLM Agent Framework","github_url":"https://github.com/HKUDS/AutoAgent","owner":"HKUDS","repo":"AutoAgent","owner_avatar_url":"https://avatars.githubusercontent.com/u/118165258?v=4","primary_language":"Python","stars":9738,"forks":1357,"topics":["agent","llms"],"archived":false,"github_pushed_at":"2025-10-16T06:35:28+00:00","maintenance_label":"Slowing","stars_delta_30d":242,"url":"https://www.graphcanon.com/tools/hkuds-autoagent","markdown_url":"https://www.graphcanon.com/tools/hkuds-autoagent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/hkuds-autoagent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=hkuds-autoagent"}},{"type":"related","direction":"in","explanation":"awesome-llm-apps is a collection of LLM applications that can be built using platforms like VoltAgent, which focuses on building AI agents with memory and multi-step workflows.","successor_context":null,"tool":{"slug":"voltagent-voltagent","name":"voltagent","tagline":"AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework","github_url":"https://github.com/VoltAgent/voltagent","owner":"VoltAgent","repo":"voltagent","owner_avatar_url":"https://avatars.githubusercontent.com/u/201282378?v=4","primary_language":"TypeScript","stars":10373,"forks":1093,"topics":["agents","ai","ai-agents","ai-agents-framework","aiagentframework","chatbots","chatgpt","framework","javascript","llm","llm-observability","mcp","multiagent","nodejs","observability","open-source","openai","rag","tts","typescript"],"archived":false,"github_pushed_at":"2026-08-10T14:24:53+00:00","maintenance_label":"Active","stars_delta_30d":285,"url":"https://www.graphcanon.com/tools/voltagent-voltagent","markdown_url":"https://www.graphcanon.com/tools/voltagent-voltagent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/voltagent-voltagent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=voltagent-voltagent"}},{"type":"related","direction":"in","explanation":"All-in-RAG focuses on RAG technology which can be used to create many of the AI Agent & RAG apps listed in awesome-llm-apps.","successor_context":null,"tool":{"slug":"datawhalechina-all-in-rag","name":"all-in-rag","tagline":"🔍 检索增强生成 (RAG) 技术全栈指南","github_url":"https://github.com/datawhalechina/all-in-rag","owner":"datawhalechina","repo":"all-in-rag","owner_avatar_url":"https://avatars.githubusercontent.com/u/46047812?v=4","primary_language":"Python","stars":10437,"forks":5170,"topics":["ai","deepseek","embedding","kimi-k2","langchain","llama-index","llm","milvus","multimodal","neo4j","python","rag"],"archived":false,"github_pushed_at":"2026-07-29T11:43:11+00:00","maintenance_label":"Active","stars_delta_30d":815,"url":"https://www.graphcanon.com/tools/datawhalechina-all-in-rag","markdown_url":"https://www.graphcanon.com/tools/datawhalechina-all-in-rag.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/datawhalechina-all-in-rag","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=datawhalechina-all-in-rag"}},{"type":"related","direction":"in","explanation":"Open-AutoGLM is aligned with the focus of awesome-llm-apps as it provides an application leveraging LLM capabilities through automated task management.","successor_context":null,"tool":{"slug":"zai-org-open-autoglm","name":"Open-AutoGLM","tagline":"An Open Phone Agent Model & Framework. Unlocking the AI Phone for Everyone","github_url":"https://github.com/zai-org/Open-AutoGLM","owner":"zai-org","repo":"Open-AutoGLM","owner_avatar_url":"https://avatars.githubusercontent.com/u/223098841?v=4","primary_language":"Python","stars":26040,"forks":4016,"topics":["agent","phone-use-agent"],"archived":false,"github_pushed_at":"2026-03-06T08:38:39+00:00","maintenance_label":"Slowing","stars_delta_30d":220,"url":"https://www.graphcanon.com/tools/zai-org-open-autoglm","markdown_url":"https://www.graphcanon.com/tools/zai-org-open-autoglm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/zai-org-open-autoglm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=zai-org-open-autoglm"}},{"type":"related","direction":"in","explanation":"Awesome LLM Apps lists practical AI agent applications that Voyager can be considered as; both involve deploying operational LLM-based agents, though Shubham Saboo's list is more general.","successor_context":null,"tool":{"slug":"minedojo-voyager","name":"Voyager","tagline":"An Open-Ended Embodied Agent with Large Language Models","github_url":"https://github.com/MineDojo/Voyager","owner":"MineDojo","repo":"Voyager","owner_avatar_url":"https://avatars.githubusercontent.com/u/98871221?v=4","primary_language":"JavaScript","stars":7140,"forks":696,"topics":["embodied-learning","large-language-models","minecraft","open-ended-learning"],"archived":false,"github_pushed_at":"2024-04-03T18:51:36+00:00","maintenance_label":"Dormant","stars_delta_30d":82,"url":"https://www.graphcanon.com/tools/minedojo-voyager","markdown_url":"https://www.graphcanon.com/tools/minedojo-voyager.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/minedojo-voyager","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=minedojo-voyager"}},{"type":"related","direction":"in","explanation":"Both cover a range of AI applications focusing on RAG systems and large language models; 'LLMForEverybody' offers educational content, while 'awesome-llm-apps' is more about runnable applications.","successor_context":null,"tool":{"slug":"luhengshiwo-llmforeverybody","name":"LLMForEverybody","tagline":"LLM knowledge sharing for everyone, essential reading before big model interviews","github_url":"https://github.com/luhengshiwo/LLMForEverybody","owner":"luhengshiwo","repo":"LLMForEverybody","owner_avatar_url":"https://avatars.githubusercontent.com/u/13251733?v=4","primary_language":"Jupyter Notebook","stars":7167,"forks":662,"topics":["agent","interview-practice","interview-questions","learnllm","llm","rag"],"archived":false,"github_pushed_at":"2026-08-17T02:41:01+00:00","maintenance_label":"Very active","stars_delta_30d":198,"url":"https://www.graphcanon.com/tools/luhengshiwo-llmforeverybody","markdown_url":"https://www.graphcanon.com/tools/luhengshiwo-llmforeverybody.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/luhengshiwo-llmforeverybody","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=luhengshiwo-llmforeverybody"}},{"type":"related","direction":"in","explanation":"RAGs could be considered part of the collection of applications in Awesome LLM Apps, being a practical RAG solution.","successor_context":null,"tool":{"slug":"run-llama-rags","name":"rags","tagline":"Build ChatGPT over your data with natural language","github_url":"https://github.com/run-llama/rags","owner":"run-llama","repo":"rags","owner_avatar_url":"https://avatars.githubusercontent.com/u/130722866?v=4","primary_language":"Python","stars":6549,"forks":656,"topics":["agent","chatbot","chatgpt","gpts","llamaindex","llm","openai","rag","streamlit"],"archived":false,"github_pushed_at":"2024-04-05T05:36:59+00:00","maintenance_label":"Dormant","stars_delta_30d":6,"url":"https://www.graphcanon.com/tools/run-llama-rags","markdown_url":"https://www.graphcanon.com/tools/run-llama-rags.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/run-llama-rags","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=run-llama-rags"}},{"type":"related","direction":"in","explanation":"Superduper aims at building AI applications and agents, which are part of the variety covered in 'awesome-llm-apps'.","successor_context":null,"tool":{"slug":"superduper-io-superduper","name":"superduper","tagline":"End-to-end framework for building custom AI applications and agents.","github_url":"https://github.com/superduper-io/superduper","owner":"superduper-io","repo":"superduper","owner_avatar_url":"https://avatars.githubusercontent.com/u/120034956?v=4","primary_language":"Python","stars":5313,"forks":544,"topics":["ai","chatbot","data","database","distributed-ml","inference","llm-inference","llm-serving","llmops","ml","mlops","mongodb","pretrained-models","python","pytorch","rag","semantic-search","torch","transformers","vector-search"],"archived":false,"github_pushed_at":"2025-09-01T15:20:18+00:00","maintenance_label":"Slowing","stars_delta_30d":9,"url":"https://www.graphcanon.com/tools/superduper-io-superduper","markdown_url":"https://www.graphcanon.com/tools/superduper-io-superduper.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/superduper-io-superduper","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=superduper-io-superduper"}},{"type":"integrates_with","direction":"in","explanation":"'Awesome LLM Apps' has a list of AI agent and RAG applications, which can benefit from the deployment best practices outlined in this handbook.","successor_context":null,"tool":{"slug":"packtpublishing-llm-engineers-handbook","name":"LLM-Engineers-Handbook","tagline":"LLM's practical guide: From fundamentals to deploying advanced LLM and RAG apps","github_url":"https://github.com/PacktPublishing/LLM-Engineers-Handbook","owner":"PacktPublishing","repo":"LLM-Engineers-Handbook","owner_avatar_url":"https://avatars.githubusercontent.com/u/10974906?v=4","primary_language":"Python","stars":5286,"forks":1280,"topics":["aws","fine-tuning-llm","genai","llm","llm-evaluation","llmops","ml-system-design","mlops","rag"],"archived":false,"github_pushed_at":"2026-04-22T08:25:03+00:00","maintenance_label":"Slowing","stars_delta_30d":49,"url":"https://www.graphcanon.com/tools/packtpublishing-llm-engineers-handbook","markdown_url":"https://www.graphcanon.com/tools/packtpublishing-llm-engineers-handbook.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/packtpublishing-llm-engineers-handbook","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=packtpublishing-llm-engineers-handbook"}},{"type":"related","direction":"in","explanation":"Shubhamsaboo's awesome-llm-apps list includes various AI applications that might be relevant or supplementary to the projects developed in yu-ai-agent, yet they are not directly integrated.","successor_context":null,"tool":{"slug":"liyupi-yu-ai-agent","name":"yu-ai-agent","tagline":"A comprehensive AI project based on Spring Boot 3 + Java 21 that integrates an AI agent and恋爱大师application with various AI technologies.","github_url":"https://github.com/liyupi/yu-ai-agent","owner":"liyupi","repo":"yu-ai-agent","owner_avatar_url":"https://avatars.githubusercontent.com/u/26037703?v=4","primary_language":"Java","stars":2621,"forks":602,"topics":["ai","ai-model","backend","frontend","java","langchain4j","mcp","rag","spring-ai","springboot","springmvc","vector-database"],"archived":false,"github_pushed_at":"2026-01-07T05:47:52+00:00","maintenance_label":"Slowing","stars_delta_30d":94,"url":"https://www.graphcanon.com/tools/liyupi-yu-ai-agent","markdown_url":"https://www.graphcanon.com/tools/liyupi-yu-ai-agent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/liyupi-yu-ai-agent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=liyupi-yu-ai-agent"}},{"type":"alternative","direction":"in","explanation":"`awesome-llm-apps` and `awesome-ai-sdks` are both curated lists of applications or SDks used with LLM but the `awesome-llm-apps` focuses more on specific application instances while `awesome-ai-sdks` includes a broader scope of tools for building AI agents, making them alternatives in the broad sense.","successor_context":null,"tool":{"slug":"e2b-dev-awesome-ai-sdks","name":"awesome-ai-sdks","tagline":"A database of SDKs for AI agents creation and management","github_url":"https://github.com/e2b-dev/awesome-ai-sdks","owner":"e2b-dev","repo":"awesome-ai-sdks","owner_avatar_url":"https://avatars.githubusercontent.com/u/129434473?v=4","primary_language":null,"stars":1213,"forks":361,"topics":["agent","agentops","agents","ai","ai-agents","awesome","awesome-list","chatgpt","e2b","framework","langchain","llama-index","llm","llmops","openai","sdk","tools","vercel"],"archived":false,"github_pushed_at":"2026-07-09T17:29:58+00:00","maintenance_label":"Steady","stars_delta_30d":6,"url":"https://www.graphcanon.com/tools/e2b-dev-awesome-ai-sdks","markdown_url":"https://www.graphcanon.com/tools/e2b-dev-awesome-ai-sdks.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/e2b-dev-awesome-ai-sdks","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=e2b-dev-awesome-ai-sdks"}},{"type":"related","direction":"in","explanation":"Both repositories focus on showcasing end-to-end LLM applications and projects, making them adjacent in the space of AI development tools.","successor_context":null,"tool":{"slug":"gurpreetkaurjethra-end-to-end-generative-ai-projects","name":"END-TO-END-GENERATIVE-AI-PROJECTS","tagline":"End to End Generative AI Industry Projects on LLM Models with Deployment_Awesome LLM Projects","github_url":"https://github.com/GURPREETKAURJETHRA/END-TO-END-GENERATIVE-AI-PROJECTS","owner":"GURPREETKAURJETHRA","repo":"END-TO-END-GENERATIVE-AI-PROJECTS","owner_avatar_url":"https://avatars.githubusercontent.com/u/100081334?v=4","primary_language":null,"stars":628,"forks":181,"topics":["chainlit","finetuning-llms","gemini","generative-ai","gpt4o","gradio-python-llm","huggingface","langchain","large-language-models","llama","llama-index","llama3","llama3-meta-ai","llm","llmops","lora","mergekit","mistral","openai-api","qlora"],"archived":false,"github_pushed_at":"2025-01-24T07:20:37+00:00","maintenance_label":"Dormant","stars_delta_30d":23,"url":"https://www.graphcanon.com/tools/gurpreetkaurjethra-end-to-end-generative-ai-projects","markdown_url":"https://www.graphcanon.com/tools/gurpreetkaurjethra-end-to-end-generative-ai-projects.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/gurpreetkaurjethra-end-to-end-generative-ai-projects","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=gurpreetkaurjethra-end-to-end-generative-ai-projects"}},{"type":"related","direction":"in","explanation":"While both repositories focus on AI and machine learning applications, vectordb-recipes specifically emphasizes building GenAI projects using vector databases and LLMs, whereas awesome-llm-apps is a curated list of various LLM applications.","successor_context":null,"tool":{"slug":"lancedb-vectordb-recipes","name":"vectordb-recipes","tagline":"Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs","github_url":"https://github.com/lancedb/vectordb-recipes","owner":"lancedb","repo":"vectordb-recipes","owner_avatar_url":"https://avatars.githubusercontent.com/u/108903835?v=4","primary_language":"Jupyter Notebook","stars":973,"forks":171,"topics":["agents","ai","deep-learning","embeddings","fine-tuning","gpt","gpt-4-vision","lancedb","langchain","llama-index","llms","machine-learning","multimodal","multimodal-ai","openai","rag","vector-database"],"archived":false,"github_pushed_at":"2026-04-24T11:29:16+00:00","maintenance_label":"Slowing","stars_delta_30d":4,"url":"https://www.graphcanon.com/tools/lancedb-vectordb-recipes","markdown_url":"https://www.graphcanon.com/tools/lancedb-vectordb-recipes.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/lancedb-vectordb-recipes","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=lancedb-vectordb-recipes"}},{"type":"related","direction":"in","explanation":"Awesome-LLM-Apps is a curated list that could feature Multi-Agent-Medical-Assistant as one of the LLM and RAG applications, but it does not have an intrinsic technological or functional relationship.","successor_context":null,"tool":{"slug":"souvikmajumder26-multi-agent-medical-assistant","name":"Multi-Agent-Medical-Assistant","tagline":"GenAI powered multi-agentic medical diagnostics and healthcare research assistance chatbot","github_url":"https://github.com/souvikmajumder26/Multi-Agent-Medical-Assistant","owner":"souvikmajumder26","repo":"Multi-Agent-Medical-Assistant","owner_avatar_url":"https://avatars.githubusercontent.com/u/86871718?v=4","primary_language":"Python","stars":956,"forks":210,"topics":["agent","agentic-ai","agents","chatbot","computer-vision","disease-detection","genai","genai-chatbot","generative-ai","guardrails","langchain","langgraph","large-language-models","llm","medical-image-processing","medical-imaging","python","rag","retrieval-augmented-generation","vector-database"],"archived":false,"github_pushed_at":"2025-05-03T04:43:30+00:00","maintenance_label":"Dormant","stars_delta_30d":25,"url":"https://www.graphcanon.com/tools/souvikmajumder26-multi-agent-medical-assistant","markdown_url":"https://www.graphcanon.com/tools/souvikmajumder26-multi-agent-medical-assistant.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/souvikmajumder26-multi-agent-medical-assistant","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=souvikmajumder26-multi-agent-medical-assistant"}},{"type":"related","direction":"in","explanation":"The repository llm-resource offers a wide range of resources related to LLM training, inference, and applications, much like shubhamsaboo/awesome-llm-apps which lists many practical LLM applications.","successor_context":null,"tool":{"slug":"liguodongiot-llm-resource","name":"llm-resource","tagline":"LLM全栈优质资源汇总","github_url":"https://github.com/liguodongiot/llm-resource","owner":"liguodongiot","repo":"llm-resource","owner_avatar_url":"https://avatars.githubusercontent.com/u/13220186?v=4","primary_language":"Shell","stars":725,"forks":85,"topics":["llm","llmops"],"archived":false,"github_pushed_at":"2025-07-15T16:52:24+00:00","maintenance_label":"Dormant","stars_delta_30d":2,"url":"https://www.graphcanon.com/tools/liguodongiot-llm-resource","markdown_url":"https://www.graphcanon.com/tools/liguodongiot-llm-resource.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/liguodongiot-llm-resource","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=liguodongiot-llm-resource"}},{"type":"integrates_with","direction":"in","explanation":"awesome-claude-skills integrates with awesome-llm-apps because the former offers a suite of plugins and tools for enhancing Claude AI workflows, which can be directly utilized within the numerous deployable AI Agent applications listed in the latter, thus expanding their functionality.","successor_context":null,"tool":{"slug":"composiohq-awesome-claude-skills","name":"awesome-claude-skills","tagline":"A curated list of awesome Claude Skills for customizing AI workflows","github_url":"https://github.com/ComposioHQ/awesome-claude-skills","owner":"ComposioHQ","repo":"awesome-claude-skills","owner_avatar_url":"https://avatars.githubusercontent.com/u/128464815?v=4","primary_language":"Python","stars":72787,"forks":8327,"topics":["agent-skills","ai-agents","antigravity","automation","claude","claude-code","codex","composio","cursor","developer-tools","gemini-cli","mcp","openai-codex","rube","saas","skill","workflow-automation"],"archived":false,"github_pushed_at":"2026-08-10T21:45:44+00:00","maintenance_label":"Active","stars_delta_30d":4659,"url":"https://www.graphcanon.com/tools/composiohq-awesome-claude-skills","markdown_url":"https://www.graphcanon.com/tools/composiohq-awesome-claude-skills.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/composiohq-awesome-claude-skills","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=composiohq-awesome-claude-skills"}},{"type":"alternative","direction":"in","explanation":"Both repositories offer lists of practical AI projects and apps for cloning, customization, and deployment.","successor_context":null,"tool":{"slug":"ashishpatel26-500-ai-agents-projects","name":"500-AI-Agents-Projects","tagline":"A curated collection of AI agent use cases across various industries.","github_url":"https://github.com/ashishpatel26/500-AI-Agents-Projects","owner":"ashishpatel26","repo":"500-AI-Agents-Projects","owner_avatar_url":"https://avatars.githubusercontent.com/u/3095771?v=4","primary_language":"Python","stars":36699,"forks":6545,"topics":["ai-agents","genai"],"archived":false,"github_pushed_at":"2026-07-27T05:40:40+00:00","maintenance_label":"Active","stars_delta_30d":1840,"url":"https://www.graphcanon.com/tools/ashishpatel26-500-ai-agents-projects","markdown_url":"https://www.graphcanon.com/tools/ashishpatel26-500-ai-agents-projects.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ashishpatel26-500-ai-agents-projects","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ashishpatel26-500-ai-agents-projects"}},{"type":"integrates_with","direction":"in","explanation":"500-AI-Agents-Projects integrates with awesome-llm-apps because it provides a broader collection of AI agent projects across various industries, while awesome-llm-apps offers a curated list of deployable AI Agent and RAG applications that can be directly cloned and customized. The integration allows users to refer to the comprehensive implementations in 500-AI-Agents-Projects for concept理解和实现，然后转向","successor_context":null,"tool":{"slug":"ashishpatel26-500-ai-agents-projects","name":"500-AI-Agents-Projects","tagline":"A curated collection of AI agent use cases across various industries.","github_url":"https://github.com/ashishpatel26/500-AI-Agents-Projects","owner":"ashishpatel26","repo":"500-AI-Agents-Projects","owner_avatar_url":"https://avatars.githubusercontent.com/u/3095771?v=4","primary_language":"Python","stars":36699,"forks":6545,"topics":["ai-agents","genai"],"archived":false,"github_pushed_at":"2026-07-27T05:40:40+00:00","maintenance_label":"Active","stars_delta_30d":1840,"url":"https://www.graphcanon.com/tools/ashishpatel26-500-ai-agents-projects","markdown_url":"https://www.graphcanon.com/tools/ashishpatel26-500-ai-agents-projects.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ashishpatel26-500-ai-agents-projects","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ashishpatel26-500-ai-agents-projects"}},{"type":"integrates_with","direction":"in","explanation":"Claude-Code-Game-Studios integrates with awesome-llm-apps by leveraging the pre-built AI agents and RAG applications available in awesome-llm-apps for its 49 AI agents across 72 workflow skills, facilitating a more streamlined development process within its simulated game development team structure.","successor_context":null,"tool":{"slug":"donchitos-claude-code-game-studios","name":"Claude-Code-Game-Studios","tagline":"Turn Claude Code into a full game dev studio","github_url":"https://github.com/Donchitos/Claude-Code-Game-Studios","owner":"Donchitos","repo":"Claude-Code-Game-Studios","owner_avatar_url":"https://avatars.githubusercontent.com/u/150119193?v=4","primary_language":"Shell","stars":24206,"forks":3462,"topics":["ai-agents","ai-assisted-development","anthropic","claude","claude-code","game-design","game-development","gamedev","godot","indie-game-dev","unity","unreal-engine"],"archived":false,"github_pushed_at":"2026-05-21T23:33:07+00:00","maintenance_label":"Slowing","stars_delta_30d":972,"url":"https://www.graphcanon.com/tools/donchitos-claude-code-game-studios","markdown_url":"https://www.graphcanon.com/tools/donchitos-claude-code-game-studios.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/donchitos-claude-code-game-studios","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=donchitos-claude-code-game-studios"}},{"type":"integrates_with","direction":"in","explanation":"Awesome-LLMOps integrates with awesome-llm-apps by providing the operational framework and tools necessary for developers to effectively manage, deploy, and maintain the AI agent and RAG applications listed in awesome-llm-apps. The resources and guidelines in Awesome-LLMOps can help ensure that these applications are deployed securely, perform efficiently, and are scalable.","successor_context":null,"tool":{"slug":"tensorchord-awesome-llmops","name":"Awesome-LLMOps","tagline":"An awesome & curated list of best LLMOps tools for developers","github_url":"https://github.com/tensorchord/Awesome-LLMOps","owner":"tensorchord","repo":"Awesome-LLMOps","owner_avatar_url":"https://avatars.githubusercontent.com/u/100543303?v=4","primary_language":"Shell","stars":5915,"forks":993,"topics":["ai-development-tools","awesome-list","llmops","mlops"],"archived":false,"github_pushed_at":"2026-05-21T09:12:50+00:00","maintenance_label":"Slowing","stars_delta_30d":28,"url":"https://www.graphcanon.com/tools/tensorchord-awesome-llmops","markdown_url":"https://www.graphcanon.com/tools/tensorchord-awesome-llmops.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/tensorchord-awesome-llmops","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=tensorchord-awesome-llmops"}},{"type":"integrates_with","direction":"in","explanation":"RAGs is a Streamlit app designed for building Retriever-Augmented Generation pipelines from data sources using natural language interfaces, while awesome-llm-apps is a repository of over 100 AI Agent and RAG applications ready for deployment. The 'integrates with' relationship signifies that applications or pipelines created with RAGs can be added to the collection in awesome-llm-apps, expanding它的","successor_context":null,"tool":{"slug":"run-llama-rags","name":"rags","tagline":"Build ChatGPT over your data with natural language","github_url":"https://github.com/run-llama/rags","owner":"run-llama","repo":"rags","owner_avatar_url":"https://avatars.githubusercontent.com/u/130722866?v=4","primary_language":"Python","stars":6549,"forks":656,"topics":["agent","chatbot","chatgpt","gpts","llamaindex","llm","openai","rag","streamlit"],"archived":false,"github_pushed_at":"2024-04-05T05:36:59+00:00","maintenance_label":"Dormant","stars_delta_30d":6,"url":"https://www.graphcanon.com/tools/run-llama-rags","markdown_url":"https://www.graphcanon.com/tools/run-llama-rags.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/run-llama-rags","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=run-llama-rags"}},{"type":"related","direction":"in","explanation":"Although not directly integrated or mutually exclusive, OWL could be utilized in the AI and RAG apps listed in awesome-llm-apps for developing its multi-agent tasks.","successor_context":null,"tool":{"slug":"camel-ai-owl","name":"owl","tagline":"Optimized Workforce Learning for General Multi-Agent Assistance","github_url":"https://github.com/camel-ai/owl","owner":"camel-ai","repo":"owl","owner_avatar_url":"https://avatars.githubusercontent.com/u/134388954?v=4","primary_language":"Python","stars":20085,"forks":2299,"topics":["agent","artificial-intelligence","multi-agent-systems","task-automation","web-interaction"],"archived":false,"github_pushed_at":"2026-08-14T17:34:50+00:00","maintenance_label":"Very active","stars_delta_30d":116,"url":"https://www.graphcanon.com/tools/camel-ai-owl","markdown_url":"https://www.graphcanon.com/tools/camel-ai-owl.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/camel-ai-owl","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=camel-ai-owl"}},{"type":"related","direction":"in","explanation":"\"Learn Claude Code -- Harness Engineering for Real Agents\" can be considered adjacent to the resources in \"awesome-llm-apps,\" which lists practical AI agent applications and their customization, providing both educational content about infrastructure and direct examples of what one could build.","successor_context":null,"tool":{"slug":"shareai-lab-learn-claude-code","name":"learn-claude-code","tagline":"Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1","github_url":"https://github.com/shareAI-lab/learn-claude-code","owner":"shareAI-lab","repo":"learn-claude-code","owner_avatar_url":"https://avatars.githubusercontent.com/u/189210346?v=4","primary_language":"Python","stars":74328,"forks":12035,"topics":["agent","agent-development","ai-agent","claude","claude-code","educational","llm","python","teaching","tutorial"],"archived":false,"github_pushed_at":"2026-08-15T16:51:43+00:00","maintenance_label":"Very active","stars_delta_30d":3096,"url":"https://www.graphcanon.com/tools/shareai-lab-learn-claude-code","markdown_url":"https://www.graphcanon.com/tools/shareai-lab-learn-claude-code.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/shareai-lab-learn-claude-code","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=shareai-lab-learn-claude-code"}},{"type":"related","direction":"in","explanation":"'Hello-Agents' aims to guide users in building intelligent agents, while 'Awesome LLM Apps' is a collection of AI applications including RAG and agent systems that can provide insights or practical examples relevant to the learning objective.","successor_context":null,"tool":{"slug":"datawhalechina-hello-agents","name":"hello-agents","tagline":"Course on building intelligent agents from scratch","github_url":"https://github.com/datawhalechina/hello-agents","owner":"datawhalechina","repo":"hello-agents","owner_avatar_url":"https://avatars.githubusercontent.com/u/46047812?v=4","primary_language":"Python","stars":73126,"forks":9108,"topics":["agent","llm","rag","tutorial"],"archived":false,"github_pushed_at":"2026-08-14T11:23:24+00:00","maintenance_label":"Very active","stars_delta_30d":6436,"url":"https://www.graphcanon.com/tools/datawhalechina-hello-agents","markdown_url":"https://www.graphcanon.com/tools/datawhalechina-hello-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/datawhalechina-hello-agents","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=datawhalechina-hello-agents"}},{"type":"related","direction":"in","explanation":"Mobilerun automates mobile devices with LLM agents, making it a relevant example of an AI app that can be cloned or customized.","successor_context":null,"tool":{"slug":"droidrun-mobilerun","name":"mobilerun","tagline":"Automate your mobile devices with natural language commands - an LLM agnostic mobile Agent","github_url":"https://github.com/droidrun/mobilerun","owner":"droidrun","repo":"mobilerun","owner_avatar_url":"https://avatars.githubusercontent.com/u/207381488?v=4","primary_language":"Python","stars":8880,"forks":951,"topics":["ai-agents","android","android-automation","hacktoberfest","mobile-automation"],"archived":false,"github_pushed_at":"2026-07-23T19:01:51+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/droidrun-mobilerun","markdown_url":"https://www.graphcanon.com/tools/droidrun-mobilerun.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/droidrun-mobilerun","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=droidrun-mobilerun"}},{"type":"related","direction":"in","explanation":"Both projects curate collections of LLM apps and resources, making them complementary but distinct.","successor_context":null,"tool":{"slug":"wangrongsheng-awesome-llm-resources","name":"awesome-LLM-resources","tagline":"Summary of the world's best LLM resources.","github_url":"https://github.com/WangRongsheng/awesome-LLM-resources","owner":"WangRongsheng","repo":"awesome-LLM-resources","owner_avatar_url":"https://avatars.githubusercontent.com/u/55651568?v=4","primary_language":null,"stars":8845,"forks":950,"topics":["awesome-list","book","course","large-language-models","llama","llm","mistral","openai","qwen","rag","retrieval-augmented-generation","webui"],"archived":false,"github_pushed_at":"2026-08-14T15:54:28+00:00","maintenance_label":"Very active","stars_delta_30d":142,"url":"https://www.graphcanon.com/tools/wangrongsheng-awesome-llm-resources","markdown_url":"https://www.graphcanon.com/tools/wangrongsheng-awesome-llm-resources.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/wangrongsheng-awesome-llm-resources","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=wangrongsheng-awesome-llm-resources"}},{"type":"related","direction":"in","explanation":"'Machine-Learning-Interviews' provides broader LLM topics including app design and RAG systems, which overlap with the LLAMP Apps list, though they address different audiences.","successor_context":null,"tool":{"slug":"alirezadir-machine-learning-interviews","name":"Machine-Learning-Interviews","tagline":"Guide for Machine Learning/AI technical interviews","github_url":"https://github.com/alirezadir/Machine-Learning-Interviews","owner":"alirezadir","repo":"Machine-Learning-Interviews","owner_avatar_url":"https://avatars.githubusercontent.com/u/5262877?v=4","primary_language":"Jupyter Notebook","stars":8638,"forks":1508,"topics":["agentic","ai","ai-agents","ai-engineering","deep-learning","interview","interview-practice","interview-preparation","interviews","machine-learning","machine-learning-algorithms","scalable-applications","system-design"],"archived":false,"github_pushed_at":"2026-06-20T06:39:46+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/alirezadir-machine-learning-interviews","markdown_url":"https://www.graphcanon.com/tools/alirezadir-machine-learning-interviews.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/alirezadir-machine-learning-interviews","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=alirezadir-machine-learning-interviews"}},{"type":"alternative","direction":"in","explanation":"Both 'every-chatgpt-gui' and 'awesome-llm-apps' list various front-end graphical user interface (GUI) applications for interacting with LLM APIs.","successor_context":null,"tool":{"slug":"billmei-every-chatgpt-gui","name":"every-chatgpt-gui","tagline":"Compilation of front-end GUI clients for accessing LLM APIs like ChatGPT and Claude","github_url":"https://github.com/billmei/every-chatgpt-gui","owner":"billmei","repo":"every-chatgpt-gui","owner_avatar_url":"https://avatars.githubusercontent.com/u/2248622?v=4","primary_language":null,"stars":3997,"forks":274,"topics":["anthropic","chatgpt","claude","gpt-3","gpt-4","large-language-models","openai"],"archived":false,"github_pushed_at":"2026-07-23T14:35:59+00:00","maintenance_label":"Active","stars_delta_30d":4,"url":"https://www.graphcanon.com/tools/billmei-every-chatgpt-gui","markdown_url":"https://www.graphcanon.com/tools/billmei-every-chatgpt-gui.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/billmei-every-chatgpt-gui","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=billmei-every-chatgpt-gui"}},{"type":"related","direction":"in","explanation":"OpenAgent focuses on building, orchestrating, and publishing AI applications, which shares similarities with the curated list of RAG apps in awesome-llm-apps.","successor_context":null,"tool":{"slug":"haohao-end-openagent","name":"openagent","tagline":"Harness architecture for rapidly building vertical AI agents","github_url":"https://github.com/Haohao-end/openagent","owner":"Haohao-end","repo":"openagent","owner_avatar_url":"https://avatars.githubusercontent.com/u/184792454?v=4","primary_language":"Python","stars":792,"forks":80,"topics":["agent","ai","celery","deepagents","deepresearch","deepseek","docker","faiss-vector-database","flask","harness-engineering","langchain","langgraph","llmops","mcp","nginx","postgresql","skills","tailwindcss","vue","weaviate"],"archived":false,"github_pushed_at":"2026-07-17T13:36:09+00:00","maintenance_label":"Steady","stars_delta_30d":21,"url":"https://www.graphcanon.com/tools/haohao-end-openagent","markdown_url":"https://www.graphcanon.com/tools/haohao-end-openagent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/haohao-end-openagent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=haohao-end-openagent"}},{"type":"alternative","direction":"in","explanation":"cv-santiago is an interactive CV/portfolio application as are some of the apps listed in awesome-llm-apps but with a more personalized and advanced AI chatbot integration.","successor_context":null,"tool":{"slug":"santifer-cv-santiago","name":"cv-santiago","tagline":"Interactive CV with AI chat integration.","github_url":"https://github.com/santifer/cv-santiago","owner":"santifer","repo":"cv-santiago","owner_avatar_url":"https://avatars.githubusercontent.com/u/256850418?v=4","primary_language":"HTML","stars":808,"forks":272,"topics":["ai","chatbot","claude","langfuse","llm","llmops","observability","portfolio","react","tailwindcss","typescript","vercel","vite"],"archived":false,"github_pushed_at":"2026-08-11T22:45:02+00:00","maintenance_label":"Active","stars_delta_30d":46,"url":"https://www.graphcanon.com/tools/santifer-cv-santiago","markdown_url":"https://www.graphcanon.com/tools/santifer-cv-santiago.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/santifer-cv-santiago","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=santifer-cv-santiago"}},{"type":"related","direction":"in","explanation":"Awesome LLM Apps provides a catalog of AI agents and RAG applications which can complement Swiftide's capabilities in deployment and experimentation.","successor_context":null,"tool":{"slug":"bosun-ai-swiftide","name":"swiftide","tagline":"Fast, streaming indexing, query, and agentic LLM applications in Rust","github_url":"https://github.com/bosun-ai/swiftide","owner":"bosun-ai","repo":"swiftide","owner_avatar_url":"https://avatars.githubusercontent.com/u/128094732?v=4","primary_language":"Rust","stars":774,"forks":69,"topics":["agents","ai","data","genai","indexing","llm","llmops","ml","rag","retrieval-augmented-generation","rust"],"archived":false,"github_pushed_at":"2026-08-19T06:47:34+00:00","maintenance_label":"Very active","stars_delta_30d":52,"url":"https://www.graphcanon.com/tools/bosun-ai-swiftide","markdown_url":"https://www.graphcanon.com/tools/bosun-ai-swiftide.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/bosun-ai-swiftide","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=bosun-ai-swiftide"}},{"type":"depends_on","direction":"in","explanation":"AgentGuide 提供的是一个涵盖多个知识点和应用的学习指南，可能会依赖如 Awesome LLM Apps 这样的资源库来提供完整的示例或进一步的实践方案。","successor_context":null,"tool":{"slug":"adongwanai-agentguide","name":"AgentGuide","tagline":"AI Agent development guide with career and interview preparation","github_url":"https://github.com/adongwanai/AgentGuide","owner":"adongwanai","repo":"AgentGuide","owner_avatar_url":"https://avatars.githubusercontent.com/u/54011546?v=4","primary_language":"HTML","stars":8484,"forks":835,"topics":["agenticrag","ai-agent","crewai","graphrag","grpo","interview","job-hunting","langchain","llm","multi-agent","rag","sft","tutorial"],"archived":false,"github_pushed_at":"2026-08-04T06:02:35+00:00","maintenance_label":"Active","stars_delta_30d":1368,"url":"https://www.graphcanon.com/tools/adongwanai-agentguide","markdown_url":"https://www.graphcanon.com/tools/adongwanai-agentguide.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/adongwanai-agentguide","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=adongwanai-agentguide"}},{"type":"integrates_with","direction":"in","explanation":"AutoGPT can integrate with a wide array of existing LLM applications listed in awesome-llm-apps, given its focus on building and deploying AI agents.","successor_context":null,"tool":{"slug":"significant-gravitas-autogpt","name":"AutoGPT","tagline":"AutoGPT is the vision of accessible AI for everyone, to use and to build on.","github_url":"https://github.com/Significant-Gravitas/AutoGPT","owner":"Significant-Gravitas","repo":"AutoGPT","owner_avatar_url":"https://avatars.githubusercontent.com/u/130738209?v=4","primary_language":"Python","stars":186623,"forks":46070,"topics":["agentic-ai","agents","ai","artificial-intelligence","autonomous-agents","claude","gpt","llama-api","llm","openai","python"],"archived":false,"github_pushed_at":"2026-08-15T17:35:04+00:00","maintenance_label":"Very active","stars_delta_30d":1043,"url":"https://www.graphcanon.com/tools/significant-gravitas-autogpt","markdown_url":"https://www.graphcanon.com/tools/significant-gravitas-autogpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/significant-gravitas-autogpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=significant-gravitas-autogpt"}},{"type":"related","direction":"in","explanation":"They are both associated with resources and applications related to large language models and AI agents but serve different purposes – one provides applications and the other is a guide.","successor_context":null,"tool":{"slug":"dair-ai-prompt-engineering-guide","name":"Prompt-Engineering-Guide","tagline":"Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents","github_url":"https://github.com/dair-ai/Prompt-Engineering-Guide","owner":"dair-ai","repo":"Prompt-Engineering-Guide","owner_avatar_url":"https://avatars.githubusercontent.com/u/30384625?v=4","primary_language":"MDX","stars":77531,"forks":8518,"topics":["agent","agents","ai-agents","chatgpt","deep-learning","generative-ai","language-model","llms","openai","prompt-engineering","rag"],"archived":false,"github_pushed_at":"2026-03-11T20:09:13+00:00","maintenance_label":"Slowing","stars_delta_30d":829,"url":"https://www.graphcanon.com/tools/dair-ai-prompt-engineering-guide","markdown_url":"https://www.graphcanon.com/tools/dair-ai-prompt-engineering-guide.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/dair-ai-prompt-engineering-guide","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=dair-ai-prompt-engineering-guide"}},{"type":"related","direction":"in","explanation":"Agent-Reach is one of the types of LLM apps that could potentially be included in awesome-llm-apps as a runnable AI agent for web searches and scraping.","successor_context":null,"tool":{"slug":"panniantong-agent-reach","name":"Agent-Reach","tagline":"AI Agent for Automated Web and Social Media Data Extraction","github_url":"https://github.com/Panniantong/Agent-Reach","owner":"Panniantong","repo":"Agent-Reach","owner_avatar_url":"https://avatars.githubusercontent.com/u/73925474?v=4","primary_language":"Python","stars":60828,"forks":4921,"topics":["agent-infrastructure","ai-agent","ai-search","automation","bilibili","claude-code","cli","cursor","free-api","llm-tools","mcp","python","reddit-scraper","twitter-scraper","web-scraper","xiaohongshu","youtube-transcript"],"archived":false,"github_pushed_at":"2026-07-25T10:20:07+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/panniantong-agent-reach","markdown_url":"https://www.graphcanon.com/tools/panniantong-agent-reach.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/panniantong-agent-reach","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=panniantong-agent-reach"}}],"neighbours":[{"slug":"microsoft-ai-agents-for-beginners","name":"ai-agents-for-beginners","tagline":"12 Lessons to Get Started Building AI Agents","github_url":"https://github.com/microsoft/ai-agents-for-beginners","owner":"microsoft","repo":"ai-agents-for-beginners","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Jupyter Notebook","stars":72665,"forks":24038,"topics":["agentic-ai","agentic-framework","agentic-rag","ai-agents","ai-agents-framework","autogen","foundry","foundry-local","generative-ai","microsoft-foundry","semantic-kernel"],"archived":false,"github_pushed_at":"2026-08-18T11:47:04+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/microsoft-ai-agents-for-beginners","markdown_url":"https://www.graphcanon.com/tools/microsoft-ai-agents-for-beginners.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-ai-agents-for-beginners","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-ai-agents-for-beginners","shared_categories":["ai-agents"]},{"slug":"pathwaycom-llm-app","name":"llm-app","tagline":"Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.","github_url":"https://github.com/pathwaycom/llm-app","owner":"pathwaycom","repo":"llm-app","owner_avatar_url":"https://avatars.githubusercontent.com/u/25750857?v=4","primary_language":"Jupyter Notebook","stars":59037,"forks":1466,"topics":["chatbot","hugging-face","llm","llm-local","llm-prompting","llm-security","llmops","machine-learning","open-ai","pathway","rag","real-time","retrieval-augmented-generation","vector-database","vector-index"],"archived":false,"github_pushed_at":"2026-07-05T17:59:07+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/pathwaycom-llm-app","markdown_url":"https://www.graphcanon.com/tools/pathwaycom-llm-app.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pathwaycom-llm-app","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pathwaycom-llm-app","shared_categories":["data-retrieval"]},{"slug":"wshobson-agents","name":"agents","tagline":"Multi-harness agentic plugin marketplace for various AI agents","github_url":"https://github.com/wshobson/agents","owner":"wshobson","repo":"agents","owner_avatar_url":"https://avatars.githubusercontent.com/u/553618?v=4","primary_language":"Python","stars":38928,"forks":4145,"topics":["agent-skills","agentic-ai","agents","ai-agents","anthropic","antigravity","claude","claude-code","claude-code-plugins","claude-skills","codex","copilot","cursor","cursor-rules","developer-tools","mcp","multi-agent","opencode","prompt-engineering","subagents"],"archived":false,"github_pushed_at":"2026-08-18T15:56:45+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/wshobson-agents","markdown_url":"https://www.graphcanon.com/tools/wshobson-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/wshobson-agents","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=wshobson-agents","shared_categories":["ai-agents"]},{"slug":"patchy631-ai-engineering-hub","name":"ai-engineering-hub","tagline":"Tutorials on LLMs, RAGs, and real-world AI agent applications","github_url":"https://github.com/patchy631/ai-engineering-hub","owner":"patchy631","repo":"ai-engineering-hub","owner_avatar_url":"https://avatars.githubusercontent.com/u/38653995?v=4","primary_language":"Jupyter Notebook","stars":37020,"forks":6107,"topics":["agents","ai","llms","machine-learning","mcp","rag"],"archived":false,"github_pushed_at":"2026-07-27T18:43:06+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/patchy631-ai-engineering-hub","markdown_url":"https://www.graphcanon.com/tools/patchy631-ai-engineering-hub.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/patchy631-ai-engineering-hub","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=patchy631-ai-engineering-hub","shared_categories":["ai-agents"]},{"slug":"reworkd-agentgpt","name":"AgentGPT","tagline":"Assembler for autonomous AI Agents","github_url":"https://github.com/reworkd/AgentGPT","owner":"reworkd","repo":"AgentGPT","owner_avatar_url":"https://avatars.githubusercontent.com/u/120154269?v=4","primary_language":"TypeScript","stars":36304,"forks":9288,"topics":["agent","agentgpt","agents","agi","ai","ai-agents","autogpt","baby-agi","gpt","langchain","llm","next","openai","t3","t3-stack"],"archived":true,"github_pushed_at":"2025-04-29T01:19:32+00:00","maintenance_label":"Archived","url":"https://www.graphcanon.com/tools/reworkd-agentgpt","markdown_url":"https://www.graphcanon.com/tools/reworkd-agentgpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/reworkd-agentgpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=reworkd-agentgpt","shared_categories":["ai-agents"]},{"slug":"e2b-dev-awesome-ai-agents","name":"awesome-ai-agents","tagline":"A list of AI autonomous agents","github_url":"https://github.com/e2b-dev/awesome-ai-agents","owner":"e2b-dev","repo":"awesome-ai-agents","owner_avatar_url":"https://avatars.githubusercontent.com/u/129434473?v=4","primary_language":null,"stars":29538,"forks":3335,"topics":["agent","ai","artificial-intelligence","autogpt","autonomous-agents","awesome","babyagi","copilot","gpt","gpt-4","gpt-engineer","openai","python"],"archived":false,"github_pushed_at":"2026-07-09T17:41:48+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/e2b-dev-awesome-ai-agents","markdown_url":"https://www.graphcanon.com/tools/e2b-dev-awesome-ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/e2b-dev-awesome-ai-agents","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=e2b-dev-awesome-ai-agents","shared_categories":["ai-agents"]},{"slug":"nirdiamant-agents-towards-production","name":"agents-towards-production","tagline":"End-to-end, code-first tutorials for building production-grade GenAI agents","github_url":"https://github.com/NirDiamant/agents-towards-production","owner":"NirDiamant","repo":"agents-towards-production","owner_avatar_url":"https://avatars.githubusercontent.com/u/28316913?v=4","primary_language":"Jupyter Notebook","stars":21298,"forks":2824,"topics":["agent","agent-framework","agentic-ai","agents","ai-agents","deployment","genai","generative-ai","langgraph","llm","llms","mcp","mlops","multi-agent-systems","observability","production","python","rag","tutorials"],"archived":false,"github_pushed_at":"2026-08-15T00:52:10+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/nirdiamant-agents-towards-production","markdown_url":"https://www.graphcanon.com/tools/nirdiamant-agents-towards-production.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nirdiamant-agents-towards-production","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nirdiamant-agents-towards-production","shared_categories":["ai-agents"]},{"slug":"arindam200-awesome-ai-apps","name":"awesome-ai-apps","tagline":"A curated list of AI applications showcasing RAG, agents, and workflows.","github_url":"https://github.com/Arindam200/awesome-ai-apps","owner":"Arindam200","repo":"awesome-ai-apps","owner_avatar_url":"https://avatars.githubusercontent.com/u/109217591?v=4","primary_language":"Python","stars":13268,"forks":1721,"topics":["agents","ai","hacktoberfest","llm","mcp"],"archived":false,"github_pushed_at":"2026-07-23T14:34:29+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/arindam200-awesome-ai-apps","markdown_url":"https://www.graphcanon.com/tools/arindam200-awesome-ai-apps.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/arindam200-awesome-ai-apps","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=arindam200-awesome-ai-apps","shared_categories":["ai-agents"]},{"slug":"microsoft-agent-framework","name":"agent-framework","tagline":"Framework for building and deploying AI agents and multi-agent workflows","github_url":"https://github.com/microsoft/agent-framework","owner":"microsoft","repo":"agent-framework","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Python","stars":12718,"forks":2143,"topics":["agent-framework","agentic-ai","agents","ai","dotnet","multi-agent","orchestration","python","sdk","workflows"],"archived":false,"github_pushed_at":"2026-08-10T23:32:05+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/microsoft-agent-framework","markdown_url":"https://www.graphcanon.com/tools/microsoft-agent-framework.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-agent-framework","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-agent-framework","shared_categories":["ai-agents"]},{"slug":"tensorchord-awesome-llmops","name":"Awesome-LLMOps","tagline":"An awesome & curated list of best LLMOps tools for developers","github_url":"https://github.com/tensorchord/Awesome-LLMOps","owner":"tensorchord","repo":"Awesome-LLMOps","owner_avatar_url":"https://avatars.githubusercontent.com/u/100543303?v=4","primary_language":"Shell","stars":5915,"forks":993,"topics":["ai-development-tools","awesome-list","llmops","mlops"],"archived":false,"github_pushed_at":"2026-05-21T09:12:50+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/tensorchord-awesome-llmops","markdown_url":"https://www.graphcanon.com/tools/tensorchord-awesome-llmops.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/tensorchord-awesome-llmops","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=tensorchord-awesome-llmops","shared_categories":["data-retrieval"]},{"slug":"melih-unsal-demogpt","name":"DemoGPT","tagline":"Create LLM agents in a second with your prompts.","github_url":"https://github.com/melih-unsal/DemoGPT","owner":"melih-unsal","repo":"DemoGPT","owner_avatar_url":"https://avatars.githubusercontent.com/u/34304254?v=4","primary_language":"Python","stars":1904,"forks":224,"topics":["agent","agents","ai","artificial-intelligence","autogpt","autonomous-agents","chatgpt","chatgpt-api","deepseek","demo","gpt-4","langchain","langchain-app","langchain-python","llms","o1","openai","python","streamlit","streamlit-application"],"archived":false,"github_pushed_at":"2026-04-01T12:30:12+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/melih-unsal-demogpt","markdown_url":"https://www.graphcanon.com/tools/melih-unsal-demogpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/melih-unsal-demogpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=melih-unsal-demogpt","shared_categories":["ai-agents"]},{"slug":"benman1-generative-ai-with-langchain","name":"generative_ai_with_langchain","tagline":"Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph","github_url":"https://github.com/benman1/generative_ai_with_langchain","owner":"benman1","repo":"generative_ai_with_langchain","owner_avatar_url":"https://avatars.githubusercontent.com/u/10786684?v=4","primary_language":"Jupyter Notebook","stars":1400,"forks":582,"topics":["agent","chatgpt","claude","claude-3-5-sonnet","deepseek","deepseek-r1","gpt","gpt-4o","huggingface","langchain","langgraph","llamacpp","llms","ollama","openai"],"archived":false,"github_pushed_at":"2026-08-05T12:50:30+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/benman1-generative-ai-with-langchain","markdown_url":"https://www.graphcanon.com/tools/benman1-generative-ai-with-langchain.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/benman1-generative-ai-with-langchain","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=benman1-generative-ai-with-langchain","shared_categories":["ai-agents"]}]}}