{"data":{"node":{"slug":"ysymyth-react","name":"ReAct","tagline":"ReAct Prompting for decision-making with language models","github_url":"https://github.com/ysymyth/ReAct","owner":"ysymyth","repo":"ReAct","owner_avatar_url":"https://avatars.githubusercontent.com/u/4877252?v=4","primary_language":"Jupyter Notebook","stars":4109,"forks":396,"topics":["decision-making","large-language-models","llm","prompting","reasoning"],"archived":false,"github_pushed_at":"2024-02-06T02:34:32+00:00","maintenance_label":"Dormant","stars_delta_30d":50,"url":"https://www.graphcanon.com/tools/ysymyth-react","markdown_url":"https://www.graphcanon.com/tools/ysymyth-react.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ysymyth-react","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ysymyth-react"},"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":"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":"decision-making","name":"decision-making"},{"slug":"large-language-models","name":"large language models"},{"slug":"llm","name":"llm"},{"slug":"prompting","name":"prompting"},{"slug":"reasoning","name":"reasoning"}],"edges":[{"type":"integrates_with","direction":"out","explanation":"ReAct is integrated into LangChain's framework as a zero-shot ReAct Agent, indicating their designed integration to work together for AI-powered tasks.","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":"ReAct and LangChain both deal with the use of language models in developing AI agents. ReAct focuses on synergizing reasoning and action, while LangChain provides a platform for agent engineering.","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":"ReAct involves prompting techniques which align closely with the guidance and resources provided by the Prompt-Engineering-Guide, but they are not designed to integrate directly.","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":"ReAct's prompting methodology can enhance or be supported by prompt libraries like the world's largest open-source prompt library, but there is no direct dependency.","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 ReAct and langflow deal with building AI-powered agents. While ReAct focuses on the synergy between reasoning and action in language models, langflow provides a powerful tool for deploying these agents.","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"}}],"neighbours":[{"slug":"nirdiamant-rag-techniques","name":"RAG_Techniques","tagline":"Showcases advanced techniques for Retrieval-Augmented Generation (RAG) systems with detailed notebook tutorials.","github_url":"https://github.com/NirDiamant/RAG_Techniques","owner":"NirDiamant","repo":"RAG_Techniques","owner_avatar_url":"https://avatars.githubusercontent.com/u/28316913?v=4","primary_language":"Jupyter Notebook","stars":29076,"forks":3540,"topics":["agentic-rag","ai","embeddings","generative-ai","gpt","langchain","llama-index","llm","llms","machine-learning","nlp","openai","python","rag","retrieval-augmented-generation","semantic-search","tutorials","vector-database"],"archived":false,"github_pushed_at":"2026-08-15T00:52:05+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/nirdiamant-rag-techniques","markdown_url":"https://www.graphcanon.com/tools/nirdiamant-rag-techniques.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nirdiamant-rag-techniques","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nirdiamant-rag-techniques","shared_categories":[]},{"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":["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":["ai-agents"]},{"slug":"rasbt-reasoning-from-scratch","name":"reasoning-from-scratch","tagline":"Implement a reasoning LLM in PyTorch from scratch, step by step","github_url":"https://github.com/rasbt/reasoning-from-scratch","owner":"rasbt","repo":"reasoning-from-scratch","owner_avatar_url":"https://avatars.githubusercontent.com/u/5618407?v=4","primary_language":"Jupyter Notebook","stars":4998,"forks":759,"topics":["ai","artificial-intelligence","chain-of-thought","deep-learning","distillation","grpo","inference-time-scaling","large-language-models","llm","llms","machine-learning","math-reasoning","python","pytorch","reasoning","reasoning-models","reinforcement-learning","rlhf","test-time-compute"],"archived":false,"github_pushed_at":"2026-08-04T16:07:42+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/rasbt-reasoning-from-scratch","markdown_url":"https://www.graphcanon.com/tools/rasbt-reasoning-from-scratch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/rasbt-reasoning-from-scratch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=rasbt-reasoning-from-scratch","shared_categories":["llm-frameworks"]},{"slug":"kyegomez-tree-of-thoughts","name":"tree-of-thoughts","tagline":"Plug in and Play Implementation of Tree of Thoughts for Elevated Model Reasoning","github_url":"https://github.com/kyegomez/tree-of-thoughts","owner":"kyegomez","repo":"tree-of-thoughts","owner_avatar_url":"https://avatars.githubusercontent.com/u/98760976?v=4","primary_language":"Python","stars":4590,"forks":374,"topics":["artificial-intelligence","chatgpt","deep-learning","gpt4","multimodal","prompt","prompt-engineering","prompt-learning","prompt-tuning"],"archived":false,"github_pushed_at":"2025-07-29T05:16:50+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/kyegomez-tree-of-thoughts","markdown_url":"https://www.graphcanon.com/tools/kyegomez-tree-of-thoughts.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/kyegomez-tree-of-thoughts","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=kyegomez-tree-of-thoughts","shared_categories":[]},{"slug":"opendilab-awesome-rlhf","name":"awesome-RLHF","tagline":"A curated list of reinforcement learning with human feedback resources (continually updated)","github_url":"https://github.com/opendilab/awesome-RLHF","owner":"opendilab","repo":"awesome-RLHF","owner_avatar_url":"https://avatars.githubusercontent.com/u/86840398?v=4","primary_language":null,"stars":4422,"forks":258,"topics":["deep-learning","deep-reinforcement-learning","human-feedback","large-language-models","reinforcement-learning","rlhf"],"archived":false,"github_pushed_at":"2026-05-20T12:56:15+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/opendilab-awesome-rlhf","markdown_url":"https://www.graphcanon.com/tools/opendilab-awesome-rlhf.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/opendilab-awesome-rlhf","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=opendilab-awesome-rlhf","shared_categories":[]},{"slug":"alibaba-roll","name":"ROLL","tagline":"Scaling Library for Reinforcement Learning with Large Language Models","github_url":"https://github.com/alibaba/ROLL","owner":"alibaba","repo":"ROLL","owner_avatar_url":"https://avatars.githubusercontent.com/u/1961952?v=4","primary_language":"Python","stars":3354,"forks":304,"topics":["agentic","rlhf","rlvr"],"archived":false,"github_pushed_at":"2026-08-07T01:51:58+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/alibaba-roll","markdown_url":"https://www.graphcanon.com/tools/alibaba-roll.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/alibaba-roll","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=alibaba-roll","shared_categories":[]},{"slug":"leonxlnx-agentic-ai-prompt-research","name":"agentic-ai-prompt-research","tagline":"Research into agentic AI coding assistants focusing on prompt patterns and security","github_url":"https://github.com/Leonxlnx/agentic-ai-prompt-research","owner":"Leonxlnx","repo":"agentic-ai-prompt-research","owner_avatar_url":"https://avatars.githubusercontent.com/u/219127460?v=4","primary_language":null,"stars":2498,"forks":1069,"topics":["agentic-ai","ai-research","claude","prompt-engineering","system-prompts"],"archived":false,"github_pushed_at":"2026-03-31T19:04:33+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/leonxlnx-agentic-ai-prompt-research","markdown_url":"https://www.graphcanon.com/tools/leonxlnx-agentic-ai-prompt-research.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/leonxlnx-agentic-ai-prompt-research","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=leonxlnx-agentic-ai-prompt-research","shared_categories":["ai-agents"]},{"slug":"timothyxxx-chain-of-thoughtspapers","name":"Chain-of-ThoughtsPapers","tagline":"A curated list of papers exploring chain-of-thought reasoning in large language models.","github_url":"https://github.com/Timothyxxx/Chain-of-ThoughtsPapers","owner":"Timothyxxx","repo":"Chain-of-ThoughtsPapers","owner_avatar_url":"https://avatars.githubusercontent.com/u/47296835?v=4","primary_language":null,"stars":2104,"forks":142,"topics":["chain-of-thought","codex","gpt-3","in-context-learning","large-language-models","palm","prompt-learning"],"archived":true,"github_pushed_at":"2023-10-05T04:47:20+00:00","maintenance_label":"Archived","url":"https://www.graphcanon.com/tools/timothyxxx-chain-of-thoughtspapers","markdown_url":"https://www.graphcanon.com/tools/timothyxxx-chain-of-thoughtspapers.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/timothyxxx-chain-of-thoughtspapers","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=timothyxxx-chain-of-thoughtspapers","shared_categories":["llm-frameworks"]},{"slug":"evalplus-evalplus","name":"evalplus","tagline":"Rigorous evaluation of LLM-synthesized code","github_url":"https://github.com/evalplus/evalplus","owner":"evalplus","repo":"evalplus","owner_avatar_url":"https://avatars.githubusercontent.com/u/132106461?v=4","primary_language":"Python","stars":1794,"forks":205,"topics":["benchmark","chatgpt","efficiency","gpt-4","large-language-models","program-synthesis","testing"],"archived":false,"github_pushed_at":"2025-10-02T22:56:38+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/evalplus-evalplus","markdown_url":"https://www.graphcanon.com/tools/evalplus-evalplus.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/evalplus-evalplus","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=evalplus-evalplus","shared_categories":[]},{"slug":"microsoft-mm-react","name":"MM-REACT","tagline":"MM-REACT is an AI agent framework built upon langchain.","github_url":"https://github.com/microsoft/MM-REACT","owner":"microsoft","repo":"MM-REACT","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Python","stars":967,"forks":66,"topics":[],"archived":false,"github_pushed_at":"2024-01-31T21:37:28+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/microsoft-mm-react","markdown_url":"https://www.graphcanon.com/tools/microsoft-mm-react.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-mm-react","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-mm-react","shared_categories":["ai-agents"]},{"slug":"livecodebench-livecodebench","name":"LiveCodeBench","tagline":"Holistic and contamination-free evaluation of large language models for code","github_url":"https://github.com/LiveCodeBench/LiveCodeBench","owner":"LiveCodeBench","repo":"LiveCodeBench","owner_avatar_url":"https://avatars.githubusercontent.com/u/161278213?v=4","primary_language":"Python","stars":925,"forks":195,"topics":["code-execution","code-generation","code-llms","code-repair","gpt-4","test-generation"],"archived":false,"github_pushed_at":"2025-07-16T00:58:38+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/livecodebench-livecodebench","markdown_url":"https://www.graphcanon.com/tools/livecodebench-livecodebench.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/livecodebench-livecodebench","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=livecodebench-livecodebench","shared_categories":[]}]}}