{"data":{"node":{"slug":"spcl-graph-of-thoughts","name":"graph-of-thoughts","tagline":"Implementation of Graph of Thoughts for large language models problem-solving","github_url":"https://github.com/spcl/graph-of-thoughts","owner":"spcl","repo":"graph-of-thoughts","owner_avatar_url":"https://avatars.githubusercontent.com/u/31108244?v=4","primary_language":"Python","stars":2841,"forks":216,"topics":["graph-of-thoughts","graph-structures","graphs","large-language-models","llm","prompt-engineering","prompting"],"archived":false,"github_pushed_at":"2026-03-24T17:26:16+00:00","maintenance_label":"Slowing","stars_delta_30d":15,"url":"https://www.graphcanon.com/tools/spcl-graph-of-thoughts","markdown_url":"https://www.graphcanon.com/tools/spcl-graph-of-thoughts.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/spcl-graph-of-thoughts","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=spcl-graph-of-thoughts"},"categories":[{"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"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"graph-of-thoughts","name":"graph-of-thoughts"},{"slug":"graph-structures","name":"graph-structures"},{"slug":"large-language-models","name":"large-language-models"},{"slug":"prompt-engineering","name":"prompt-engineering"}],"edges":[],"neighbours":[{"slug":"rucaibox-llmsurvey","name":"LLMSurvey","tagline":"A 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":12216,"forks":930,"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":["model-training","llm-frameworks"]},{"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","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","shared_categories":["model-training","llm-frameworks"]},{"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":"Steady","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":["model-training","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":4588,"forks":376,"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":["model-training"]},{"slug":"eth-sri-lmql","name":"lmql","tagline":"A language for constraint-guided and efficient LLM programming.","github_url":"https://github.com/eth-sri/lmql","owner":"eth-sri","repo":"lmql","owner_avatar_url":"https://avatars.githubusercontent.com/u/5363413?v=4","primary_language":"Python","stars":4203,"forks":221,"topics":["chatgpt","huggingface","language-model","programming-language"],"archived":false,"github_pushed_at":"2025-05-22T07:32:31+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/eth-sri-lmql","markdown_url":"https://www.graphcanon.com/tools/eth-sri-lmql.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/eth-sri-lmql","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=eth-sri-lmql","shared_categories":["llm-frameworks"]},{"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":3880,"forks":411,"topics":["agents","ai-agent","data","deep-learning","documentation-tool","finetuning","framework","knowlege-graph","langchain","lazyllm","llamaindex","llm","llms","rag"],"archived":false,"github_pushed_at":"2026-09-04T11:45:37+00:00","maintenance_label":"Steady","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":["model-training"]},{"slug":"atfortes-awesome-llm-reasoning","name":"Awesome-LLM-Reasoning","tagline":"Compiles resources on chain-of-thought prompting to advanced reasoning systems like OpenAI o1 and DeepSeek-R1.","github_url":"https://github.com/atfortes/Awesome-LLM-Reasoning","owner":"atfortes","repo":"Awesome-LLM-Reasoning","owner_avatar_url":"https://avatars.githubusercontent.com/u/57639145?v=4","primary_language":null,"stars":3685,"forks":213,"topics":["awesome","chain-of-thought","chatgpt","cot","deepseek","deepseek-r1","gpt","gpt-4o","in-context-learning","language-models","mllm","multimodal","openai-o1","papers","prompt","prompt-engineering","reasoning","strawberry"],"archived":false,"github_pushed_at":"2026-04-20T00:57:27+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/atfortes-awesome-llm-reasoning","markdown_url":"https://www.graphcanon.com/tools/atfortes-awesome-llm-reasoning.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/atfortes-awesome-llm-reasoning","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=atfortes-awesome-llm-reasoning","shared_categories":["model-training","llm-frameworks"]},{"slug":"franxyao-chain-of-thought-hub","name":"chain-of-thought-hub","tagline":"Benchmarking large language models' complex reasoning ability with chain-of-thought prompting","github_url":"https://github.com/FranxYao/chain-of-thought-hub","owner":"FranxYao","repo":"chain-of-thought-hub","owner_avatar_url":"https://avatars.githubusercontent.com/u/17723677?v=4","primary_language":"Jupyter Notebook","stars":2776,"forks":144,"topics":[],"archived":false,"github_pushed_at":"2024-08-04T09:40:18+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/franxyao-chain-of-thought-hub","markdown_url":"https://www.graphcanon.com/tools/franxyao-chain-of-thought-hub.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/franxyao-chain-of-thought-hub","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=franxyao-chain-of-thought-hub","shared_categories":[]},{"slug":"antoinezambelli-forge","name":"forge","tagline":"A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows","github_url":"https://github.com/antoinezambelli/forge","owner":"antoinezambelli","repo":"forge","owner_avatar_url":"https://avatars.githubusercontent.com/u/2261593?v=4","primary_language":"Python","stars":2248,"forks":173,"topics":["agentic-ai","agentic-workflow","agents","function-calling","llama-cpp","llamafile","llm","ollama","python","self-hosted","tool-calling"],"archived":false,"github_pushed_at":"2026-09-01T01:05:25+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/antoinezambelli-forge","markdown_url":"https://www.graphcanon.com/tools/antoinezambelli-forge.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/antoinezambelli-forge","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=antoinezambelli-forge","shared_categories":["llm-frameworks"]},{"slug":"yoanbernabeu-grepai","name":"grepai","tagline":"Semantic Search & Call Graphs for AI Agents (100% Local)","github_url":"https://github.com/yoanbernabeu/grepai","owner":"yoanbernabeu","repo":"grepai","owner_avatar_url":"https://avatars.githubusercontent.com/u/59195351?v=4","primary_language":"C","stars":1878,"forks":156,"topics":["ai","claude-code","cli","code-search","cursor","developer-tools","embeddings","golang","mcp","privacy-first","semantic-search","vector-search"],"archived":false,"github_pushed_at":"2026-09-14T05:34:42+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/yoanbernabeu-grepai","markdown_url":"https://www.graphcanon.com/tools/yoanbernabeu-grepai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/yoanbernabeu-grepai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=yoanbernabeu-grepai","shared_categories":[]},{"slug":"jina-ai-thinkgpt","name":"thinkgpt","tagline":"Agent techniques to augment your LLM and push it beyond its limits","github_url":"https://github.com/jina-ai/thinkgpt","owner":"jina-ai","repo":"thinkgpt","owner_avatar_url":"https://avatars.githubusercontent.com/u/60539444?v=4","primary_language":"Python","stars":1583,"forks":132,"topics":[],"archived":false,"github_pushed_at":"2024-05-23T13:04:46+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/jina-ai-thinkgpt","markdown_url":"https://www.graphcanon.com/tools/jina-ai-thinkgpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/jina-ai-thinkgpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=jina-ai-thinkgpt","shared_categories":[]},{"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":1414,"forks":586,"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":"2026-08-14T08:45:56+00:00","maintenance_label":"Steady","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":["llm-frameworks"]}]}}