{"data":{"node":{"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":"Active","stars_delta_30d":31,"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"},"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":"agentic-ai","name":"agentic-ai"},{"slug":"function-calling","name":"function-calling"},{"slug":"multi-step-workflows","name":"multi-step-workflows"},{"slug":"python-framework","name":"python-framework"},{"slug":"self-hosted","name":"self-hosted"}],"edges":[{"type":"alternative","direction":"in","explanation":"Both CrewAI and Forge provide frameworks for creating LLM-based agents, with a focus on orchestration. They are similar in function but tailored to different programming environments.","successor_context":null,"tool":{"slug":"crewaiinc-crewai","name":"crewAI","tagline":"Framework for orchestrating role-playing, autonomous AI agents","github_url":"https://github.com/crewAIInc/crewAI","owner":"crewAIInc","repo":"crewAI","owner_avatar_url":"https://avatars.githubusercontent.com/u/170677839?v=4","primary_language":"Python","stars":58723,"forks":8497,"topics":["agents","ai","ai-agents","aiagentframework","llms"],"archived":false,"github_pushed_at":"2026-09-18T07:40:55+00:00","maintenance_label":"Very active","stars_delta_30d":1944,"url":"https://www.graphcanon.com/tools/crewaiinc-crewai","markdown_url":"https://www.graphcanon.com/tools/crewaiinc-crewai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/crewaiinc-crewai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=crewaiinc-crewai"}},{"type":"integrates_with","direction":"in","explanation":"Forge facilitates self-hosted LLM tool-calling and agentic workflows, which can integrate with LlamaIndex to form a comprehensive solution for deployment.","successor_context":null,"tool":{"slug":"run-llama-llama-index","name":"llama_index","tagline":"Document processing platform for AI","github_url":"https://github.com/run-llama/llama_index","owner":"run-llama","repo":"llama_index","owner_avatar_url":"https://avatars.githubusercontent.com/u/130722866?v=4","primary_language":"Python","stars":52207,"forks":8167,"topics":["agents","application","data","fine-tuning","framework","llamaindex","llm","multi-agents","rag","vector-database"],"archived":false,"github_pushed_at":"2026-09-18T04:10:58+00:00","maintenance_label":"Very active","stars_delta_30d":765,"url":"https://www.graphcanon.com/tools/run-llama-llama-index","markdown_url":"https://www.graphcanon.com/tools/run-llama-llama-index.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/run-llama-llama-index","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=run-llama-llama-index"}}],"neighbours":[{"slug":"agentscope-ai-agentscope","name":"agentscope","tagline":"Build and run agents you can see, understand and trust.","github_url":"https://github.com/agentscope-ai/agentscope","owner":"agentscope-ai","repo":"agentscope","owner_avatar_url":"https://avatars.githubusercontent.com/u/211762292?v=4","primary_language":"Python","stars":31912,"forks":3517,"topics":["agent","chatbot","large-language-models","llm","llm-agent","mcp","multi-agent","multi-modal","react-agent","realtime-agent","voice-agent","voice-assistant"],"archived":false,"github_pushed_at":"2026-09-18T07:47:31+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/agentscope-ai-agentscope","markdown_url":"https://www.graphcanon.com/tools/agentscope-ai-agentscope.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/agentscope-ai-agentscope","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=agentscope-ai-agentscope","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":"Steady","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":"langchain-ai-langchainjs","name":"langchainjs","tagline":"The agent engineering platform","github_url":"https://github.com/langchain-ai/langchainjs","owner":"langchain-ai","repo":"langchainjs","owner_avatar_url":"https://avatars.githubusercontent.com/u/126733545?v=4","primary_language":"TypeScript","stars":18164,"forks":3356,"topics":[],"archived":false,"github_pushed_at":"2026-09-06T02:58:03+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/langchain-ai-langchainjs","markdown_url":"https://www.graphcanon.com/tools/langchain-ai-langchainjs.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langchain-ai-langchainjs","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langchain-ai-langchainjs","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":13573,"forks":2335,"topics":["agent-framework","agentic-ai","agents","ai","dotnet","multi-agent","orchestration","python","sdk","workflows"],"archived":false,"github_pushed_at":"2026-09-18T02:54:16+00:00","maintenance_label":"Very 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":"crmne-ruby-llm","name":"ruby_llm","tagline":"A Ruby framework for building AI agents and applications","github_url":"https://github.com/crmne/ruby_llm","owner":"crmne","repo":"ruby_llm","owner_avatar_url":"https://avatars.githubusercontent.com/u/106617?v=4","primary_language":"Ruby","stars":4390,"forks":504,"topics":["agents","ai","ai-framework","anthropic","embeddings","gemini","image-generation","llm","multimodal","ocr","ollama","openai","rag","rails","reranking","ruby","structured-output","text-to-speech","tool-calling","video-generation"],"archived":false,"github_pushed_at":"2026-09-18T06:05:29+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/crmne-ruby-llm","markdown_url":"https://www.graphcanon.com/tools/crmne-ruby-llm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/crmne-ruby-llm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=crmne-ruby-llm","shared_categories":["ai-agents","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":"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":"jackmpcollins-magentic","name":"magentic","tagline":"Seamlessly integrate LLMs as Python functions","github_url":"https://github.com/jackmpcollins/magentic","owner":"jackmpcollins","repo":"magentic","owner_avatar_url":"https://avatars.githubusercontent.com/u/6640905?v=4","primary_language":"Python","stars":2425,"forks":127,"topics":["agent","agentic","ai","chatbot","chatgpt","gpt","llm","magenta","magentic","magnetic","openai","openai-api","prompt","pydantic"],"archived":false,"github_pushed_at":"2026-03-11T13:44:45+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/jackmpcollins-magentic","markdown_url":"https://www.graphcanon.com/tools/jackmpcollins-magentic.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/jackmpcollins-magentic","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=jackmpcollins-magentic","shared_categories":["ai-agents","llm-frameworks"]},{"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":"Steady","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","llm-frameworks"]},{"slug":"future-agi-future-agi","name":"future-agi","tagline":"Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications","github_url":"https://github.com/future-agi/future-agi","owner":"future-agi","repo":"future-agi","owner_avatar_url":"https://avatars.githubusercontent.com/u/147392366?v=4","primary_language":"Python","stars":2032,"forks":627,"topics":["ai-agents","ai-evals","ai-gateway","ai-optimization","ai-simulations","evaluation-framework","guardrails","hallucination-detection","llm","llm-evaluation","llm-observability","llmops","model-evaluation","observability","opentelemetry","rag","rag-evaluation","simulation","telemetry","tracing"],"archived":false,"github_pushed_at":"2026-09-18T08:15:25+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/future-agi-future-agi","markdown_url":"https://www.graphcanon.com/tools/future-agi-future-agi.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/future-agi-future-agi","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=future-agi-future-agi","shared_categories":["ai-agents","llm-frameworks"]},{"slug":"forethought-technologies-autochain","name":"AutoChain","tagline":"Build lightweight, extensible, and testable LLM Agents","github_url":"https://github.com/Forethought-Technologies/AutoChain","owner":"Forethought-Technologies","repo":"AutoChain","owner_avatar_url":"https://avatars.githubusercontent.com/u/32120602?v=4","primary_language":"Python","stars":1878,"forks":103,"topics":[],"archived":false,"github_pushed_at":"2025-12-16T20:53:26+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/forethought-technologies-autochain","markdown_url":"https://www.graphcanon.com/tools/forethought-technologies-autochain.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/forethought-technologies-autochain","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=forethought-technologies-autochain","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":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":["ai-agents","llm-frameworks"]},{"slug":"pguso-agents-from-scratch","name":"agents-from-scratch","tagline":"Build AI agents locally without relying on frameworks or cloud APIs.","github_url":"https://github.com/pguso/agents-from-scratch","owner":"pguso","repo":"agents-from-scratch","owner_avatar_url":"https://avatars.githubusercontent.com/u/4007140?v=4","primary_language":"Python","stars":1017,"forks":251,"topics":["agent-architecture","ai-agents","ai-education","ai-from-scratch","artificial-intelligence","llama","llm","local-llm","machine-learning","no-framework","open-source-education","prompt-engineering","python"],"archived":false,"github_pushed_at":"2026-07-25T15:42:36+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/pguso-agents-from-scratch","markdown_url":"https://www.graphcanon.com/tools/pguso-agents-from-scratch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pguso-agents-from-scratch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pguso-agents-from-scratch","shared_categories":["ai-agents"]}]}}