{"data":{"node":{"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"},"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":"evaluation-observability","name":"Evaluation & Observability","url":"https://www.graphcanon.com/categories/evaluation-observability","markdown_url":"https://www.graphcanon.com/categories/evaluation-observability.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/evaluation-observability"}],"tags":[{"slug":"agent","name":"agent"},{"slug":"large-language-models","name":"large language models"},{"slug":"llm","name":"llm"},{"slug":"nlp","name":"nlp"},{"slug":"rl","name":"rl"}],"edges":[{"type":"related","direction":"out","explanation":"Both repositories curate resources related to LLMs, but Wangrongsheng's focuses on a broader scope of LLM resources while WooooDyy's focuses specifically on papers.","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":"out","explanation":null,"successor_context":null,"tool":{"slug":"flowiseai-flowise","name":"Flowise","tagline":"Build AI Agents, Visually","github_url":"https://github.com/FlowiseAI/Flowise","owner":"FlowiseAI","repo":"Flowise","owner_avatar_url":"https://avatars.githubusercontent.com/u/128289781?v=4","primary_language":"TypeScript","stars":55246,"forks":24869,"topics":["agentic-ai","agentic-workflow","agents","artificial-intelligence","chatbot","chatgpt","javascript","langchain","large-language-models","low-code","multiagent-systems","no-code","openai","rag","react","typescript","workflow-automation"],"archived":false,"github_pushed_at":"2026-08-07T05:55:02+00:00","maintenance_label":"Very active","stars_delta_30d":816,"url":"https://www.graphcanon.com/tools/flowiseai-flowise","markdown_url":"https://www.graphcanon.com/tools/flowiseai-flowise.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/flowiseai-flowise","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=flowiseai-flowise"}},{"type":"related","direction":"out","explanation":"LangChain and 'LLM-Agent-Paper-List' are related because both focus on various aspects of AI agents and their development, with LangChain providing a platform for agent engineering while the paper list aggregates foundational research.","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":"Both involve frameworks and tools for agent development, but RAGA AI offers a SDK for observability and monitoring while this repository is purely focused on academic survey papers.","successor_context":null,"tool":{"slug":"raga-ai-hub-ragaai-catalyst","name":"RagaAI-Catalyst","tagline":"Python SDK for AI agent observability and evaluation","github_url":"https://github.com/raga-ai-hub/RagaAI-Catalyst","owner":"raga-ai-hub","repo":"RagaAI-Catalyst","owner_avatar_url":"https://avatars.githubusercontent.com/u/161833182?v=4","primary_language":"Python","stars":16148,"forks":3565,"topics":["agentic-ai","agentic-ai-development","agentneo","agents","ai-agent-monitoring","ai-application-debugging","ai-evaluation-tools","ai-performance-optimization","ai-tool-interaction-monitoring","llm-testing","llm-tracing","llmops"],"archived":false,"github_pushed_at":"2026-02-11T14:43:33+00:00","maintenance_label":"Slowing","stars_delta_30d":5,"url":"https://www.graphcanon.com/tools/raga-ai-hub-ragaai-catalyst","markdown_url":"https://www.graphcanon.com/tools/raga-ai-hub-ragaai-catalyst.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/raga-ai-hub-ragaai-catalyst","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=raga-ai-hub-ragaai-catalyst"}},{"type":"related","direction":"out","explanation":"LangFlow is aimed at building AI-powered workflows, while 'LLM-Agent-Paper-List' provides foundational knowledge and literature for LLM-based agents. They both play a role in the ecosystem of AI agent frameworks.","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":"successor","direction":"out","explanation":"This repository could be considered an updated and more comprehensive version of a survey like LLMSurvey, specifically focusing on agent-based research.","successor_context":{"status":"coexists","reason":"Both repositories serve similar purposes but with different focuses; WooooDyy's list emphasizes LLM agents."},"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":"out","explanation":"Both deal with the development and deployment of AI agents, though 'LLM-Agent-Paper-List' focuses on providing a survey of relevant papers while AutoGPT is an application for building and running these 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":"out","explanation":"Both repositories deal with written resources but in different forms; Morsoli's is a book repository while WooooDyy's focuses on academic papers.","successor_context":null,"tool":{"slug":"morsoli-llm-books","name":"llm-books","tagline":"Notes on practical application development using LLM","github_url":"https://github.com/morsoli/llm-books","owner":"morsoli","repo":"llm-books","owner_avatar_url":"https://avatars.githubusercontent.com/u/47264881?v=4","primary_language":"Python","stars":767,"forks":53,"topics":["chatgpt","chatgpt-api","langchain","llm","llmops","openai"],"archived":false,"github_pushed_at":"2024-11-29T10:00:06+00:00","maintenance_label":"Dormant","stars_delta_30d":0,"url":"https://www.graphcanon.com/tools/morsoli-llm-books","markdown_url":"https://www.graphcanon.com/tools/morsoli-llm-books.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/morsoli-llm-books","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=morsoli-llm-books"}},{"type":"related","direction":"out","explanation":"'LLM-Agent-Paper-List' can serve as an academic foundation or reference material for users of AutoGen, which is a framework focused on building multi-agent AI applications.","successor_context":null,"tool":{"slug":"microsoft-autogen","name":"autogen","tagline":"A programming framework for agentic AI","github_url":"https://github.com/microsoft/autogen","owner":"microsoft","repo":"autogen","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Python","stars":60139,"forks":9059,"topics":["agentic","agentic-agi","agents","ai","autogen","autogen-ecosystem","chatgpt","framework","llm-agent","llm-framework"],"archived":false,"github_pushed_at":"2026-04-15T11:59:09+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/microsoft-autogen","markdown_url":"https://www.graphcanon.com/tools/microsoft-autogen.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-autogen","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-autogen"}},{"type":"related","direction":"out","explanation":"The handbook and paper list both pertain to LLM agents, but the former is a practical operating manual while the latter focuses on academic resources.","successor_context":null,"tool":{"slug":"oxbshw-llm-agents-ecosystem-handbook","name":"LLM-Agents-Ecosystem-Handbook","tagline":"One-stop handbook for building, deploying, and understanding LLM agents","github_url":"https://github.com/oxbshw/LLM-Agents-Ecosystem-Handbook","owner":"oxbshw","repo":"LLM-Agents-Ecosystem-Handbook","owner_avatar_url":"https://avatars.githubusercontent.com/u/212214682?v=4","primary_language":"Python","stars":539,"forks":85,"topics":["ai","ai-agent","ai-agents","fine-tuning","finetuning-llms","freamework","llm","llmops","local-development","mcp-server","memory","rag","rag-chatbot","voice-agent"],"archived":false,"github_pushed_at":"2026-06-30T12:22:57+00:00","maintenance_label":"Steady","stars_delta_30d":3,"url":"https://www.graphcanon.com/tools/oxbshw-llm-agents-ecosystem-handbook","markdown_url":"https://www.graphcanon.com/tools/oxbshw-llm-agents-ecosystem-handbook.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/oxbshw-llm-agents-ecosystem-handbook","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=oxbshw-llm-agents-ecosystem-handbook"}},{"type":"related","direction":"out","explanation":null,"successor_context":null,"tool":{"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"}}],"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":"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":"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":"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","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","shared_categories":["evaluation-observability"]},{"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":"Active","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","shared_categories":["evaluation-observability","ai-agents"]},{"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","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","shared_categories":["evaluation-observability"]},{"slug":"wenyuchiou-awesome-agentic-ai-zh","name":"awesome-agentic-ai-zh","tagline":"A trilingual learning roadmap for agentic AI","github_url":"https://github.com/WenyuChiou/awesome-agentic-ai-zh","owner":"WenyuChiou","repo":"awesome-agentic-ai-zh","owner_avatar_url":"https://avatars.githubusercontent.com/u/162016108?v=4","primary_language":"Python","stars":4866,"forks":641,"topics":["agentic-ai","agentic-workflows","ai-agent","ai-agents","awesome-list","chinese-llm","claude-code","claude-skills","cli","learning-roadmap","llm","llm-agents","mcp","model-context-protocol","multi-agent-systems","prompt-engineering","rag","trilingual","tutorial"],"archived":false,"github_pushed_at":"2026-07-22T02:46:42+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/wenyuchiou-awesome-agentic-ai-zh","markdown_url":"https://www.graphcanon.com/tools/wenyuchiou-awesome-agentic-ai-zh.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/wenyuchiou-awesome-agentic-ai-zh","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=wenyuchiou-awesome-agentic-ai-zh","shared_categories":["ai-agents"]},{"slug":"u14app-deep-research","name":"deep-research","tagline":"Use any LLMs for Deep Research with SSE API and MCP server","github_url":"https://github.com/u14app/deep-research","owner":"u14app","repo":"deep-research","owner_avatar_url":"https://avatars.githubusercontent.com/u/190910900?v=4","primary_language":"JavaScript","stars":4686,"forks":1068,"topics":["anthropic","deep-research","deep-research-api","deepresearch","deepseek","gemini","grok","mcp-server","ollama","openai"],"archived":false,"github_pushed_at":"2026-06-18T14:43:29+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/u14app-deep-research","markdown_url":"https://www.graphcanon.com/tools/u14app-deep-research.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/u14app-deep-research","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=u14app-deep-research","shared_categories":[]},{"slug":"huaizhengzhang-ai-infra-from-zero-to-hero","name":"AI-Infra-from-Zero-to-Hero","tagline":"Awesome System for Machine Learning and LLM Infra","github_url":"https://github.com/HuaizhengZhang/AI-Infra-from-Zero-to-Hero","owner":"HuaizhengZhang","repo":"AI-Infra-from-Zero-to-Hero","owner_avatar_url":"https://avatars.githubusercontent.com/u/5894780?v=4","primary_language":null,"stars":4285,"forks":409,"topics":["ai-infra","genai","large-language-models","llmsys","mlsys","model-serving","model-training"],"archived":false,"github_pushed_at":"2025-07-25T02:24:35+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/huaizhengzhang-ai-infra-from-zero-to-hero","markdown_url":"https://www.graphcanon.com/tools/huaizhengzhang-ai-infra-from-zero-to-hero.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/huaizhengzhang-ai-infra-from-zero-to-hero","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=huaizhengzhang-ai-infra-from-zero-to-hero","shared_categories":[]},{"slug":"lazyagi-lazyllm","name":"LazyLLM","tagline":"Easiest and laziest way for building multi-agent LLMs applications.","github_url":"https://github.com/LazyAGI/LazyLLM","owner":"LazyAGI","repo":"LazyLLM","owner_avatar_url":"https://avatars.githubusercontent.com/u/171651681?v=4","primary_language":"Python","stars":3866,"forks":404,"topics":["agents","ai-agent","data","deep-learning","documentation-tool","finetuning","framework","knowlege-graph","langchain","lazyllm","llamaindex","llm","llms","rag"],"archived":false,"github_pushed_at":"2026-08-07T03:03:46+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/lazyagi-lazyllm","markdown_url":"https://www.graphcanon.com/tools/lazyagi-lazyllm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/lazyagi-lazyllm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=lazyagi-lazyllm","shared_categories":["ai-agents"]},{"slug":"internlm-lagent","name":"lagent","tagline":"A lightweight framework for building LLM-based agents","github_url":"https://github.com/InternLM/lagent","owner":"InternLM","repo":"lagent","owner_avatar_url":"https://avatars.githubusercontent.com/u/135356492?v=4","primary_language":"Python","stars":2276,"forks":238,"topics":["agent","gpt","llm","transformers"],"archived":false,"github_pushed_at":"2026-08-03T07:18:16+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/internlm-lagent","markdown_url":"https://www.graphcanon.com/tools/internlm-lagent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/internlm-lagent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=internlm-lagent","shared_categories":["ai-agents"]}]}}