{"data":{"node":{"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"},"categories":[{"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"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"chain-of-thought","name":"chain-of-thought"},{"slug":"in-context-learning","name":"in-context-learning"},{"slug":"instruction-tuning","name":"instruction-tuning"},{"slug":"large-language-models","name":"large language models"},{"slug":"llm","name":"llm"},{"slug":"natural-language-processing","name":"natural-language-processing"},{"slug":"pre-training","name":"pre-training"},{"slug":"rlhf","name":"rlhf"}],"edges":[{"type":"related","direction":"out","explanation":"LLMSurvey surveys large language models which langchain may utilize in its agent operations and platform development.","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":"LLMSurvey surveys broad LLM concepts including context compression as one of the challenges in the field; headroom provides a solution for context compression.","successor_context":null,"tool":{"slug":"headroomlabs-ai-headroom","name":"headroom","tagline":"Compress tool outputs and data to reduce tokens before reaching the LLM.","github_url":"https://github.com/headroomlabs-ai/headroom","owner":"headroomlabs-ai","repo":"headroom","owner_avatar_url":"https://avatars.githubusercontent.com/u/294291659?v=4","primary_language":"Python","stars":66470,"forks":5103,"topics":["agent","ai","anthropic","claude-code","compression","context-engineering","context-window","cursor","fastapi","langchain","llm","mcp","openai","prompt-engineering","proxy","python","rag","token-optimization","tokens","typescript"],"archived":false,"github_pushed_at":"2026-08-16T00:57:42+00:00","maintenance_label":"Very active","stars_delta_30d":6941,"url":"https://www.graphcanon.com/tools/headroomlabs-ai-headroom","markdown_url":"https://www.graphcanon.com/tools/headroomlabs-ai-headroom.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/headroomlabs-ai-headroom","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=headroomlabs-ai-headroom"}},{"type":"related","direction":"out","explanation":"LLMSurvey and context7 both are concerned with LLMs but from a documentation standpoint, LLMSurvey provides an academic review while upstash provides up-to-date code info.","successor_context":null,"tool":{"slug":"upstash-context7","name":"context7","tagline":"Up-to-date code documentation for LLMs and AI code editors","github_url":"https://github.com/upstash/context7","owner":"upstash","repo":"context7","owner_avatar_url":"https://avatars.githubusercontent.com/u/74989412?v=4","primary_language":"TypeScript","stars":60812,"forks":2932,"topics":["llm","mcp","mcp-server","vibe-coding"],"archived":false,"github_pushed_at":"2026-08-15T14:42:46+00:00","maintenance_label":"Very active","stars_delta_30d":1605,"url":"https://www.graphcanon.com/tools/upstash-context7","markdown_url":"https://www.graphcanon.com/tools/upstash-context7.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/upstash-context7","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=upstash-context7"}},{"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":"related","direction":"out","explanation":null,"successor_context":null,"tool":{"slug":"huggingface-transformers","name":"transformers","tagline":"Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models","github_url":"https://github.com/huggingface/transformers","owner":"huggingface","repo":"transformers","owner_avatar_url":"https://avatars.githubusercontent.com/u/25720743?v=4","primary_language":"Python","stars":164121,"forks":34249,"topics":["audio","deep-learning","deepseek","gemma","glm","hacktoberfest","llm","machine-learning","model-hub","natural-language-processing","nlp","pretrained-models","python","pytorch","pytorch-transformers","qwen","speech-recognition","transformer","vlm"],"archived":false,"github_pushed_at":"2026-08-15T22:28:12+00:00","maintenance_label":"Very active","stars_delta_30d":1457,"url":"https://www.graphcanon.com/tools/huggingface-transformers","markdown_url":"https://www.graphcanon.com/tools/huggingface-transformers.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/huggingface-transformers","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=huggingface-transformers"}},{"type":"related","direction":"out","explanation":"LLMSurvey surveys papers related to large language models including prompt engineering aspects, while prompts.chat is a library of such prompts.","successor_context":null,"tool":{"slug":"f-prompts-chat","name":"prompts.chat","tagline":"Share, discover, and collect prompts from the community","github_url":"https://github.com/f/prompts.chat","owner":"f","repo":"prompts.chat","owner_avatar_url":"https://avatars.githubusercontent.com/u/196477?v=4","primary_language":"HTML","stars":167212,"forks":21586,"topics":["ai","artificial-intelligence","awesome-list","chatgpt","chatgpt-prompts","claude","gemini","gpt","gpt-4","llm","machine-learning","nextjs","open-source","openai","prompt-engineering","prompts","prompts-chat","typescript"],"archived":false,"github_pushed_at":"2026-08-15T03:18:07+00:00","maintenance_label":"Very active","stars_delta_30d":1347,"url":"https://www.graphcanon.com/tools/f-prompts-chat","markdown_url":"https://www.graphcanon.com/tools/f-prompts-chat.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/f-prompts-chat","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=f-prompts-chat"}},{"type":"related","direction":"out","explanation":"Both relate to efficient use of large language models; LLMSurvey surveys the topic while rtk optimizes CLI interactions for efficiency in token consumption.","successor_context":null,"tool":{"slug":"rtk-ai-rtk","name":"rtk","tagline":"CLI proxy reducing LLM token consumption by 60-90% on common dev commands","github_url":"https://github.com/rtk-ai/rtk","owner":"rtk-ai","repo":"rtk","owner_avatar_url":"https://avatars.githubusercontent.com/u/258253854?v=4","primary_language":"Rust","stars":76247,"forks":4795,"topics":["agentic-coding","ai-coding","anthropic","claude-code","cli","command-line-tool","cost-reduction","developer-tools","llm","open-source","productivity","rust","token-optimization"],"archived":false,"github_pushed_at":"2026-08-15T02:01:37+00:00","maintenance_label":"Very active","stars_delta_30d":4851,"url":"https://www.graphcanon.com/tools/rtk-ai-rtk","markdown_url":"https://www.graphcanon.com/tools/rtk-ai-rtk.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/rtk-ai-rtk","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=rtk-ai-rtk"}},{"type":"related","direction":"out","explanation":"Both deal with LLM implementations: LLMSurvey surveys existing work and resources whereas rasbt-llms-from-scratch is about implementing an LLM.","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":"Both provide educational content about AI and technology but in different areas; LLMSurvey focuses on LLMs while JavaGuide covers a wide range of computer science topics.","successor_context":null,"tool":{"slug":"snailclimb-javaguide","name":"JavaGuide","tagline":"Java Interview & Backend General Guide, covering computer basics, databases, distributed systems, high concurrency, system design, and AI application development","github_url":"https://github.com/Snailclimb/JavaGuide","owner":"Snailclimb","repo":"JavaGuide","owner_avatar_url":"https://avatars.githubusercontent.com/u/29880145?v=4","primary_language":"JavaScript","stars":157862,"forks":46172,"topics":["agent","ai","context-engineering","deepseek","interview","java","mcp","mysql","redis","redisson","skills","springai","system-design"],"archived":false,"github_pushed_at":"2026-08-18T13:05:40+00:00","maintenance_label":"Very active","stars_delta_30d":741,"url":"https://www.graphcanon.com/tools/snailclimb-javaguide","markdown_url":"https://www.graphcanon.com/tools/snailclimb-javaguide.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/snailclimb-javaguide","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=snailclimb-javaguide"}},{"type":"related","direction":"out","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":"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"}},{"type":"related","direction":"in","explanation":"Both are resources that list and describe large language models, but the repository focuses on commercial LLMs while LLMSurvey provides a survey.","successor_context":null,"tool":{"slug":"eugeneyan-open-llms","name":"open-llms","tagline":"A list of open LLMs available for commercial use.","github_url":"https://github.com/eugeneyan/open-llms","owner":"eugeneyan","repo":"open-llms","owner_avatar_url":"https://avatars.githubusercontent.com/u/6831355?v=4","primary_language":null,"stars":12849,"forks":985,"topics":["commercial","large-language-models","llm","llms"],"archived":false,"github_pushed_at":"2025-02-13T06:37:12+00:00","maintenance_label":"Dormant","stars_delta_30d":18,"url":"https://www.graphcanon.com/tools/eugeneyan-open-llms","markdown_url":"https://www.graphcanon.com/tools/eugeneyan-open-llms.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/eugeneyan-open-llms","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=eugeneyan-open-llms"}},{"type":"successor","direction":"in","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":"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"}}],"neighbours":[{"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":["llm-frameworks"]},{"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":"Active","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","shared_categories":["llm-frameworks"]},{"slug":"lightning-ai-litgpt","name":"litgpt","tagline":"High-performance LLMs with recipes for pretraining, finetuning and deployment","github_url":"https://github.com/Lightning-AI/litgpt","owner":"Lightning-AI","repo":"litgpt","owner_avatar_url":"https://avatars.githubusercontent.com/u/58386951?v=4","primary_language":"Python","stars":13605,"forks":1483,"topics":["ai","artificial-intelligence","deep-learning","large-language-models","llm","llm-inference","llms"],"archived":false,"github_pushed_at":"2026-07-20T10:24:12+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/lightning-ai-litgpt","markdown_url":"https://www.graphcanon.com/tools/lightning-ai-litgpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/lightning-ai-litgpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=lightning-ai-litgpt","shared_categories":["llm-frameworks"]},{"slug":"eugeneyan-open-llms","name":"open-llms","tagline":"A list of open LLMs available for commercial use.","github_url":"https://github.com/eugeneyan/open-llms","owner":"eugeneyan","repo":"open-llms","owner_avatar_url":"https://avatars.githubusercontent.com/u/6831355?v=4","primary_language":null,"stars":12849,"forks":985,"topics":["commercial","large-language-models","llm","llms"],"archived":false,"github_pushed_at":"2025-02-13T06:37:12+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/eugeneyan-open-llms","markdown_url":"https://www.graphcanon.com/tools/eugeneyan-open-llms.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/eugeneyan-open-llms","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=eugeneyan-open-llms","shared_categories":["llm-frameworks"]},{"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","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","shared_categories":["llm-frameworks"]},{"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","llm-frameworks"]},{"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","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","shared_categories":["evaluation-observability"]},{"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","llm-frameworks"]},{"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":["llm-frameworks"]},{"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":["llm-frameworks"]},{"slug":"eugeneyan-ml-surveys","name":"ml-surveys","tagline":"Survey papers summarizing advances in various AI domains","github_url":"https://github.com/eugeneyan/ml-surveys","owner":"eugeneyan","repo":"ml-surveys","owner_avatar_url":"https://avatars.githubusercontent.com/u/6831355?v=4","primary_language":null,"stars":2902,"forks":291,"topics":["computer-vision","deep-learning","embeddings","machine-learning","nlp","recommender-system","reinforcement-learning","survey"],"archived":false,"github_pushed_at":"2023-03-17T05:00:49+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/eugeneyan-ml-surveys","markdown_url":"https://www.graphcanon.com/tools/eugeneyan-ml-surveys.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/eugeneyan-ml-surveys","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=eugeneyan-ml-surveys","shared_categories":["evaluation-observability"]},{"slug":"amberljc-llmsys-paperlist","name":"LLMSys-PaperList","tagline":"Curated list of academic papers related to Large Language Model systems","github_url":"https://github.com/AmberLJC/LLMSys-PaperList","owner":"AmberLJC","repo":"LLMSys-PaperList","owner_avatar_url":"https://avatars.githubusercontent.com/u/42296458?v=4","primary_language":"Python","stars":2220,"forks":120,"topics":[],"archived":false,"github_pushed_at":"2026-07-25T02:03:12+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/amberljc-llmsys-paperlist","markdown_url":"https://www.graphcanon.com/tools/amberljc-llmsys-paperlist.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/amberljc-llmsys-paperlist","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=amberljc-llmsys-paperlist","shared_categories":["llm-frameworks"]}]}}