{"data":{"node":{"slug":"crewaiinc-crewai","name":"crewAI","tagline":"Framework for orchestrating role-playing 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":56779,"forks":8094,"topics":["agents","ai","ai-agents","aiagentframework","llms"],"archived":false,"github_pushed_at":"2026-08-08T07:26:39+00:00","maintenance_label":"Very active","stars_delta_30d":1647,"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"},"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"}],"tags":[{"slug":"agents","name":"agents"},{"slug":"ai-agents","name":"ai-agents"},{"slug":"aiagentframework","name":"aiagentframework"},{"slug":"autonomous-agents","name":"autonomous-agents"},{"slug":"collaborative-intelligence","name":"collaborative-intelligence"},{"slug":"llms","name":"llms"}],"edges":[{"type":"alternative","direction":"out","explanation":"XAgent focuses on autonomous task-solving for AI agents, while CrewAI also aims at autonomous operation but through a framework that nurtures collaborative intelligence among agents.","successor_context":null,"tool":{"slug":"openbmb-xagent","name":"XAgent","tagline":"An Autonomous LLM Agent for Complex Task Solving","github_url":"https://github.com/OpenBMB/XAgent","owner":"OpenBMB","repo":"XAgent","owner_avatar_url":"https://avatars.githubusercontent.com/u/89920203?v=4","primary_language":"Python","stars":8534,"forks":904,"topics":[],"archived":false,"github_pushed_at":"2026-07-31T03:30:54+00:00","maintenance_label":"Active","stars_delta_30d":10,"url":"https://www.graphcanon.com/tools/openbmb-xagent","markdown_url":"https://www.graphcanon.com/tools/openbmb-xagent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/openbmb-xagent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=openbmb-xagent"}},{"type":"related","direction":"out","explanation":"CrewAI and botpress are both platforms related to building and deploying agents that interact with users, but they may cater to different types of applications.","successor_context":null,"tool":{"slug":"botpress-botpress","name":"botpress","tagline":"The open-source hub to build & deploy GPT/LLM Agents","github_url":"https://github.com/botpress/botpress","owner":"botpress","repo":"botpress","owner_avatar_url":"https://avatars.githubusercontent.com/u/23510677?v=4","primary_language":"TypeScript","stars":14869,"forks":2294,"topics":["agent","ai","botpress","chatbot","chatgpt","gpt","gpt-4","langchain","llm","nlp","openai","prompt"],"archived":false,"github_pushed_at":"2026-08-14T20:49:50+00:00","maintenance_label":"Very active","stars_delta_30d":85,"url":"https://www.graphcanon.com/tools/botpress-botpress","markdown_url":"https://www.graphcanon.com/tools/botpress-botpress.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/botpress-botpress","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=botpress-botpress"}},{"type":"related","direction":"out","explanation":null,"successor_context":null,"tool":{"slug":"tauricresearch-tradingagents","name":"TradingAgents","tagline":"Multi-Agents LLM Financial Trading Framework","github_url":"https://github.com/TauricResearch/TradingAgents","owner":"TauricResearch","repo":"TradingAgents","owner_avatar_url":"https://avatars.githubusercontent.com/u/192884433?v=4","primary_language":"Python","stars":98335,"forks":18953,"topics":["agent","finance","llm","multiagent","trading"],"archived":false,"github_pushed_at":"2026-07-18T15:55:05+00:00","maintenance_label":"Active","stars_delta_30d":5040,"url":"https://www.graphcanon.com/tools/tauricresearch-tradingagents","markdown_url":"https://www.graphcanon.com/tools/tauricresearch-tradingagents.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/tauricresearch-tradingagents","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=tauricresearch-tradingagents"}},{"type":"alternative","direction":"out","explanation":"Both CrewAI and openai-agents-python provide frameworks for orchestrating AI agents, with potential differences in features or flexibility.","successor_context":null,"tool":{"slug":"openai-openai-agents-python","name":"openai-agents-python","tagline":"A lightweight, powerful framework for multi-agent workflows","github_url":"https://github.com/openai/openai-agents-python","owner":"openai","repo":"openai-agents-python","owner_avatar_url":"https://avatars.githubusercontent.com/u/14957082?v=4","primary_language":"Python","stars":28676,"forks":4516,"topics":["agents","ai","framework","harness","llm","openai","python"],"archived":false,"github_pushed_at":"2026-08-16T09:21:37+00:00","maintenance_label":"Very active","stars_delta_30d":719,"url":"https://www.graphcanon.com/tools/openai-openai-agents-python","markdown_url":"https://www.graphcanon.com/tools/openai-openai-agents-python.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/openai-openai-agents-python","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=openai-openai-agents-python"}},{"type":"alternative","direction":"out","explanation":"Both CrewAI and the Microsoft Agent Framework are designed for building and deploying AI agents, but CrewAI focuses specifically on orchestrating role-playing autonomous AI agents, while Microsoft's framework offers a broader set of tools.","successor_context":null,"tool":{"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":12718,"forks":2143,"topics":["agent-framework","agentic-ai","agents","ai","dotnet","multi-agent","orchestration","python","sdk","workflows"],"archived":false,"github_pushed_at":"2026-08-10T23:32:05+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"}},{"type":"alternative","direction":"out","explanation":"Both CrewAI and openagent offer platforms for building and orchestrating AI agents, but they may have different capabilities or user experiences.","successor_context":null,"tool":{"slug":"haohao-end-openagent","name":"openagent","tagline":"Harness architecture for rapidly building vertical AI agents","github_url":"https://github.com/Haohao-end/openagent","owner":"Haohao-end","repo":"openagent","owner_avatar_url":"https://avatars.githubusercontent.com/u/184792454?v=4","primary_language":"Python","stars":792,"forks":80,"topics":["agent","ai","celery","deepagents","deepresearch","deepseek","docker","faiss-vector-database","flask","harness-engineering","langchain","langgraph","llmops","mcp","nginx","postgresql","skills","tailwindcss","vue","weaviate"],"archived":false,"github_pushed_at":"2026-07-17T13:36:09+00:00","maintenance_label":"Steady","stars_delta_30d":21,"url":"https://www.graphcanon.com/tools/haohao-end-openagent","markdown_url":"https://www.graphcanon.com/tools/haohao-end-openagent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/haohao-end-openagent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=haohao-end-openagent"}},{"type":"related","direction":"out","explanation":"CrewAI and activepieces both focus on AI-driven automation and agent-based workflows, yet the specific use cases might differ.","successor_context":null,"tool":{"slug":"activepieces-activepieces","name":"activepieces","tagline":"AI Agents & MCPs & AI Workflow Automation","github_url":"https://github.com/activepieces/activepieces","owner":"activepieces","repo":"activepieces","owner_avatar_url":"https://avatars.githubusercontent.com/u/99494700?v=4","primary_language":"TypeScript","stars":23903,"forks":4061,"topics":["ai-agent","ai-agent-tools","ai-agents","ai-agents-framework","mcp","mcp-server","mcp-tools","mcps","n8n-alternative","no-code-automation","workflow","workflow-automation","workflows"],"archived":false,"github_pushed_at":"2026-08-19T22:40:05+00:00","maintenance_label":"Very active","stars_delta_30d":562,"url":"https://www.graphcanon.com/tools/activepieces-activepieces","markdown_url":"https://www.graphcanon.com/tools/activepieces-activepieces.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/activepieces-activepieces","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=activepieces-activepieces"}},{"type":"integrates_with","direction":"out","explanation":"CrewAI, a framework for orchestrating autonomous AI agents to solve complex tasks through collaborative intelligence, integrates with langchain, which provides a platform for building and chaining interoperable components of AI applications. This integration allows CrewAI to leverage langchain's modular architecture for enhanced agent functionalities and seamless component interactions in its own多","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":"integrates_with","direction":"out","explanation":"Both LobeHub and CrewAI are focused on integrating and managing AI agents, indicating a potential for them to work together for orchestrating multiple agent operations.","successor_context":null,"tool":{"slug":"lobehub-lobehub","name":"lobehub","tagline":"Your Chief Agent Operator for managing AI agents","github_url":"https://github.com/lobehub/lobehub","owner":"lobehub","repo":"lobehub","owner_avatar_url":"https://avatars.githubusercontent.com/u/131470832?v=4","primary_language":"TypeScript","stars":81810,"forks":15807,"topics":["agent","agent-collaboration","agent-harness","ai","cao","chatgpt","chief-agent-operator","claude","deepseek","fable","gemini","glm","gpt","knowledge-base","loop-engineering","mcp","openai","skills"],"archived":false,"github_pushed_at":"2026-08-18T20:10:11+00:00","maintenance_label":"Very active","stars_delta_30d":1313,"url":"https://www.graphcanon.com/tools/lobehub-lobehub","markdown_url":"https://www.graphcanon.com/tools/lobehub-lobehub.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/lobehub-lobehub","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=lobehub-lobehub"}},{"type":"alternative","direction":"out","explanation":"Dify is another platform for agentic workflow development which competes in the market with CrewAI on similar capabilities and scope.","successor_context":null,"tool":{"slug":"langgenius-dify","name":"dify","tagline":"Production-ready platform for agentic workflow development","github_url":"https://github.com/langgenius/dify","owner":"langgenius","repo":"dify","owner_avatar_url":"https://avatars.githubusercontent.com/u/127165244?v=4","primary_language":"TypeScript","stars":151725,"forks":23941,"topics":["agent","agentic-ai","agentic-framework","agentic-workflow","ai","automation","claude","genai","gpt","llm","low-code","mcp","nextjs","no-code","openai","orchestration","python","rag","skills","workflow"],"archived":false,"github_pushed_at":"2026-08-07T19:00:10+00:00","maintenance_label":"Very active","stars_delta_30d":3586,"url":"https://www.graphcanon.com/tools/langgenius-dify","markdown_url":"https://www.graphcanon.com/tools/langgenius-dify.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langgenius-dify","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langgenius-dify"}},{"type":"alternative","direction":"out","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":"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":2217,"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":"2026-08-13T22:14:44+00:00","maintenance_label":"Very active","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"}},{"type":"alternative","direction":"out","explanation":"CrewAI and AgentOS both support the orchestration of AI agents, but whereas CrewAI focuses on role-playing for fostering collaborative intelligence, AgentOS is built with TypeScript and emphasizes cognitive memory.","successor_context":null,"tool":{"slug":"framerslab-agentos","name":"agentos","tagline":"TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration","github_url":"https://github.com/framerslab/agentos","owner":"framerslab","repo":"agentos","owner_avatar_url":"https://avatars.githubusercontent.com/u/184314983?v=4","primary_language":"TypeScript","stars":601,"forks":89,"topics":["agent-framework","agent-memory","agentic-ai","ai-agent-framework","ai-agents","autonomous-agents","cognitive-memory","emergent-behavior","guardrails","hexaco","llm","llm-orchestration","long-term-memory","multi-agent","rag","runtime-tool-generation","tool-use","vector-search","voice-ai"],"archived":false,"github_pushed_at":"2026-07-22T07:15:26+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/framerslab-agentos","markdown_url":"https://www.graphcanon.com/tools/framerslab-agentos.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/framerslab-agentos","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=framerslab-agentos"}},{"type":"alternative","direction":"out","explanation":"LangFlow and CrewAI both focus on building and orchestrating AI agents, though they likely have differing approaches or features.","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":"alternative","direction":"out","explanation":"Both CrewAI and the Open Multi-Agent Framework are centered around orchestrating AI agents in dynamic workflows, making them alternatives for multi-agent system development.","successor_context":null,"tool":{"slug":"open-multi-agent-open-multi-agent","name":"open-multi-agent","tagline":"Orchestrates AI agents with dynamic workflows via runtime task planning.","github_url":"https://github.com/open-multi-agent/open-multi-agent","owner":"open-multi-agent","repo":"open-multi-agent","owner_avatar_url":"https://avatars.githubusercontent.com/u/279300633?v=4","primary_language":"TypeScript","stars":6768,"forks":2420,"topics":["agent-framework","agent-orchestration","agentic-ai","ai-agents","anthropic","claude","claude-code","crewai-alternative","deepseek","dynamic-workflows","gemini","langgraph-alternative","llm","local-llm","mcp","multi-agent","nodejs","ollama","openai","typescript"],"archived":false,"github_pushed_at":"2026-08-12T17:51:09+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/open-multi-agent-open-multi-agent","markdown_url":"https://www.graphcanon.com/tools/open-multi-agent-open-multi-agent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/open-multi-agent-open-multi-agent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=open-multi-agent-open-multi-agent"}},{"type":"alternative","direction":"out","explanation":"CrewAI and Orloj share the goal of orchestrating multi-agent AI systems, although their underlying technologies and approaches to integration may differ.","successor_context":null,"tool":{"slug":"orlojhq-orloj","name":"orloj","tagline":"An orchestration runtime for multi-agent AI systems.","github_url":"https://github.com/OrlojHQ/orloj","owner":"OrlojHQ","repo":"orloj","owner_avatar_url":"https://avatars.githubusercontent.com/u/268267477?v=4","primary_language":"Go","stars":113,"forks":15,"topics":["agent-framework","agentic-ai","agentic-orchestration","ai","ai-agents","ai-governance","ai-safety","declarative","guardrails","infrastructure-as-code","llm","llmops","mlops","multi-agent","open-source","orchestration","platform-engineering","workflow-orchestration","yaml"],"archived":false,"github_pushed_at":"2026-08-07T11:11:49+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/orlojhq-orloj","markdown_url":"https://www.graphcanon.com/tools/orlojhq-orloj.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/orlojhq-orloj","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=orlojhq-orloj"}},{"type":"related","direction":"out","explanation":null,"successor_context":null,"tool":{"slug":"foundationagents-metagpt","name":"MetaGPT","tagline":"🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming","github_url":"https://github.com/FoundationAgents/MetaGPT","owner":"FoundationAgents","repo":"MetaGPT","owner_avatar_url":"https://avatars.githubusercontent.com/u/198047230?v=4","primary_language":"Python","stars":69847,"forks":8882,"topics":["agent","gpt","llm","metagpt","multi-agent"],"archived":false,"github_pushed_at":"2026-01-21T10:12:33+00:00","maintenance_label":"Slowing","stars_delta_30d":442,"url":"https://www.graphcanon.com/tools/foundationagents-metagpt","markdown_url":"https://www.graphcanon.com/tools/foundationagents-metagpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/foundationagents-metagpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=foundationagents-metagpt"}},{"type":"successor","direction":"out","explanation":"MetaGPT presents a more advanced multi-agent framework approach compared to CrewAI's orchestration capabilities.","successor_context":{"status":"coexists","reason":"Both tools coexist in the market to serve different levels of complexity and application needs."},"tool":{"slug":"foundationagents-metagpt","name":"MetaGPT","tagline":"🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming","github_url":"https://github.com/FoundationAgents/MetaGPT","owner":"FoundationAgents","repo":"MetaGPT","owner_avatar_url":"https://avatars.githubusercontent.com/u/198047230?v=4","primary_language":"Python","stars":69847,"forks":8882,"topics":["agent","gpt","llm","metagpt","multi-agent"],"archived":false,"github_pushed_at":"2026-01-21T10:12:33+00:00","maintenance_label":"Slowing","stars_delta_30d":442,"url":"https://www.graphcanon.com/tools/foundationagents-metagpt","markdown_url":"https://www.graphcanon.com/tools/foundationagents-metagpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/foundationagents-metagpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=foundationagents-metagpt"}},{"type":"related","direction":"out","explanation":"Both CrewAI and agentscope are frameworks for building and managing autonomous AI agents, though they may have different approaches and focus.","successor_context":null,"tool":{"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":28973,"forks":3367,"topics":["agent","chatbot","large-language-models","llm","llm-agent","mcp","multi-agent","multi-modal","react-agent"],"archived":false,"github_pushed_at":"2026-08-14T15:37:06+00:00","maintenance_label":"Very active","stars_delta_30d":1004,"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"}},{"type":"alternative","direction":"out","explanation":"Autogen is also a framework for creating multi-agent AI applications, making it an alternative to CrewAI in orchestrating agent interactions.","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":"alternative","direction":"in","explanation":"CrewAI offers a multi-agent automation framework, similar to the capabilities that Sim provides for orchestrating AI agents.","successor_context":null,"tool":{"slug":"simstudioai-sim","name":"sim","tagline":"Build, deploy, and orchestrate AI agents.","github_url":"https://github.com/simstudioai/sim","owner":"simstudioai","repo":"sim","owner_avatar_url":"https://avatars.githubusercontent.com/u/199344406?v=4","primary_language":"TypeScript","stars":29424,"forks":3773,"topics":["agent-workflow","agentic-workflow","agents","ai","aiagents","anthropic","artificial-intelligence","automation","chatbot","deepseek","gemini","low-code","nextjs","no-code","openai","rag","react","typescript"],"archived":false,"github_pushed_at":"2026-08-18T00:01:52+00:00","maintenance_label":"Very active","stars_delta_30d":286,"url":"https://www.graphcanon.com/tools/simstudioai-sim","markdown_url":"https://www.graphcanon.com/tools/simstudioai-sim.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/simstudioai-sim","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=simstudioai-sim"}},{"type":"integrates_with","direction":"in","explanation":"'CrewAI' is a framework mentioned as part of the multi-agent automation solutions showcased and can be used to implement some projects in '500-AI-Agents-Projects'.","successor_context":null,"tool":{"slug":"ashishpatel26-500-ai-agents-projects","name":"500-AI-Agents-Projects","tagline":"A curated collection of AI agent use cases across various industries.","github_url":"https://github.com/ashishpatel26/500-AI-Agents-Projects","owner":"ashishpatel26","repo":"500-AI-Agents-Projects","owner_avatar_url":"https://avatars.githubusercontent.com/u/3095771?v=4","primary_language":"Python","stars":36699,"forks":6545,"topics":["ai-agents","genai"],"archived":false,"github_pushed_at":"2026-07-27T05:40:40+00:00","maintenance_label":"Active","stars_delta_30d":1840,"url":"https://www.graphcanon.com/tools/ashishpatel26-500-ai-agents-projects","markdown_url":"https://www.graphcanon.com/tools/ashishpatel26-500-ai-agents-projects.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ashishpatel26-500-ai-agents-projects","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ashishpatel26-500-ai-agents-projects"}},{"type":"alternative","direction":"in","explanation":"Orca and crewAI both provide frameworks for managing multiple AI agents in automation tasks, but Orca offers a specific focus on development tools and parallel agent orchestration within an IDE context.","successor_context":null,"tool":{"slug":"stablyai-orca","name":"orca","tagline":"ADE for working with a fleet of parallel agents","github_url":"https://github.com/stablyai/orca","owner":"stablyai","repo":"orca","owner_avatar_url":"https://avatars.githubusercontent.com/u/127256420?v=4","primary_language":"TypeScript","stars":49090,"forks":3388,"topics":["ade","agent-ide","ai-agents","claude-code","cli","codex","cursor-agent","devtools","ghostty","ide","mobile-app","opencode","orchestration","parallel-agents","pi","terminal","worktrees","yc-backed"],"archived":false,"github_pushed_at":"2026-08-19T23:59:41+00:00","maintenance_label":"Very active","stars_delta_30d":25754,"url":"https://www.graphcanon.com/tools/stablyai-orca","markdown_url":"https://www.graphcanon.com/tools/stablyai-orca.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/stablyai-orca","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=stablyai-orca"}},{"type":"integrates_with","direction":"in","explanation":"CowAgent and crewAI can work together to automate multi-agent workflows in a flexible framework.","successor_context":null,"tool":{"slug":"zhayujie-cowagent","name":"CowAgent","tagline":"Open-source super AI assistant & Agent Harness","github_url":"https://github.com/zhayujie/CowAgent","owner":"zhayujie","repo":"CowAgent","owner_avatar_url":"https://avatars.githubusercontent.com/u/26161723?v=4","primary_language":"Python","stars":46520,"forks":10316,"topics":["ai","ai-agent","ai-agents","chatgpt-on-wechat","claude","claude-code","codex","cowagent","deepseek","harness","llm","mcp","multi-agent","openai","openclaw","skills"],"archived":false,"github_pushed_at":"2026-08-15T12:26:50+00:00","maintenance_label":"Very active","stars_delta_30d":506,"url":"https://www.graphcanon.com/tools/zhayujie-cowagent","markdown_url":"https://www.graphcanon.com/tools/zhayujie-cowagent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/zhayujie-cowagent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=zhayujie-cowagent"}},{"type":"alternative","direction":"in","explanation":"edict and crewAI both provide frameworks for multi-agent automation but edict emphasizes a structured governance system with more layers of institutional review compared to crewAI.","successor_context":null,"tool":{"slug":"cft0808-edict","name":"edict","tagline":"Three Departments Six Ministries System · OpenClaw Multi-Agent Orchestration System: 9 specialized AI agents include real-time dashboard, model configuration, and complete audit trails","github_url":"https://github.com/cft0808/edict","owner":"cft0808","repo":"edict","owner_avatar_url":"https://avatars.githubusercontent.com/u/41196455?v=4","primary_language":"Python","stars":16385,"forks":1718,"topics":["ai-agents","ai-orchestration","autonomous-agents","claude","dashboard","kanban","llm","multi-agent","openai","openclaw","orchestration","python","workflow-automation"],"archived":false,"github_pushed_at":"2026-08-03T11:24:42+00:00","maintenance_label":"Active","stars_delta_30d":132,"url":"https://www.graphcanon.com/tools/cft0808-edict","markdown_url":"https://www.graphcanon.com/tools/cft0808-edict.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/cft0808-edict","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=cft0808-edict"}},{"type":"alternative","direction":"in","explanation":"Both Agency and crewAI deal with multi-agent systems, though CrewAI places more emphasis on automation, making them alternatives in the multi-agent domain.","successor_context":null,"tool":{"slug":"operand-agency","name":"agency","tagline":"A fast and minimal framework for building agentic systems","github_url":"https://github.com/operand/agency","owner":"operand","repo":"agency","owner_avatar_url":"https://avatars.githubusercontent.com/u/307146?v=4","primary_language":"Python","stars":489,"forks":28,"topics":["actor","actor-model","agent","agents","agi","ai","api","artificial-general-intelligence","artificial-intelligence","autonomous-agent","autonomous-agents","framework","llm","llmops","llms","machine-learning","minimal","python"],"archived":false,"github_pushed_at":"2026-06-10T20:36:18+00:00","maintenance_label":"Steady","stars_delta_30d":2,"url":"https://www.graphcanon.com/tools/operand-agency","markdown_url":"https://www.graphcanon.com/tools/operand-agency.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/operand-agency","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=operand-agency"}},{"type":"alternative","direction":"in","explanation":"Hermes Agent is an AI-driven tool that focuses on self-improvement through continuous learning from user interactions, while crewAI is a multi-agent automation framework designed for orchestrating role-playing AI agents to collaborate on complex tasks. Both tools relate as alternatives because they offer different approaches to task-oriented AI assistance and collaboration.","successor_context":null,"tool":{"slug":"nousresearch-hermes-agent","name":"hermes-agent","tagline":"The agent that grows with you","github_url":"https://github.com/NousResearch/hermes-agent","owner":"NousResearch","repo":"hermes-agent","owner_avatar_url":"https://avatars.githubusercontent.com/u/134168893?v=4","primary_language":"Python","stars":231074,"forks":45889,"topics":["ai","ai-agent","ai-agents","anthropic","chatgpt","claude","claude-code","codex","hermes","hermes-agent","llm","nous-research","openai"],"archived":false,"github_pushed_at":"2026-08-15T23:44:24+00:00","maintenance_label":"Very active","stars_delta_30d":15179,"url":"https://www.graphcanon.com/tools/nousresearch-hermes-agent","markdown_url":"https://www.graphcanon.com/tools/nousresearch-hermes-agent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nousresearch-hermes-agent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nousresearch-hermes-agent"}},{"type":"alternative","direction":"in","explanation":"Both CAMEL and crewAI are multi-agent automation frameworks aimed at enabling real business value through various use cases such as infrastructure automation, productivity workflows, and collaborative research. They address similar problems with different approaches.","successor_context":null,"tool":{"slug":"camel-ai-camel","name":"camel","tagline":"CAMEL: The first and the best multi-agent framework","github_url":"https://github.com/camel-ai/camel","owner":"camel-ai","repo":"camel","owner_avatar_url":"https://avatars.githubusercontent.com/u/134388954?v=4","primary_language":"Python","stars":17592,"forks":2042,"topics":["agent","ai-societies","artificial-intelligence","communicative-ai","cooperative-ai","deep-learning","large-language-models","multi-agent-systems","natural-language-processing"],"archived":false,"github_pushed_at":"2026-08-14T17:34:44+00:00","maintenance_label":"Very active","stars_delta_30d":178,"url":"https://www.graphcanon.com/tools/camel-ai-camel","markdown_url":"https://www.graphcanon.com/tools/camel-ai-camel.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/camel-ai-camel","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=camel-ai-camel"}},{"type":"integrates_with","direction":"in","explanation":"Agent Lightning, a framework for optimizing and training AI agents through various techniques such as reinforcement learning, can be integrated with crewAI, which orchestrates role-playing and autonomous AI agents. This integration allows crewAI to leverage Agent Lightning's optimization capabilities to enhance the performance of its multi-agent systems.","successor_context":null,"tool":{"slug":"microsoft-agent-lightning","name":"agent-lightning","tagline":"The absolute trainer to light up AI agents","github_url":"https://github.com/microsoft/agent-lightning","owner":"microsoft","repo":"agent-lightning","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Python","stars":17500,"forks":1541,"topics":["agent","agentic-ai","llm","mlops","reinforcement-learning"],"archived":false,"github_pushed_at":"2026-08-19T04:24:29+00:00","maintenance_label":"Very active","stars_delta_30d":104,"url":"https://www.graphcanon.com/tools/microsoft-agent-lightning","markdown_url":"https://www.graphcanon.com/tools/microsoft-agent-lightning.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-agent-lightning","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-agent-lightning"}},{"type":"alternative","direction":"in","explanation":"Both frameworks focus on multi-agent automation and provide tools for fast deployment, making them alternatives in the space of automating tasks through AI agents.","successor_context":null,"tool":{"slug":"hkuds-autoagent","name":"AutoAgent","tagline":"Fully-Automated and Zero-Code LLM Agent Framework","github_url":"https://github.com/HKUDS/AutoAgent","owner":"HKUDS","repo":"AutoAgent","owner_avatar_url":"https://avatars.githubusercontent.com/u/118165258?v=4","primary_language":"Python","stars":9738,"forks":1357,"topics":["agent","llms"],"archived":false,"github_pushed_at":"2025-10-16T06:35:28+00:00","maintenance_label":"Slowing","stars_delta_30d":242,"url":"https://www.graphcanon.com/tools/hkuds-autoagent","markdown_url":"https://www.graphcanon.com/tools/hkuds-autoagent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/hkuds-autoagent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=hkuds-autoagent"}},{"type":"alternative","direction":"in","explanation":"Better Agents offers a structured approach to build AI agents with a focus on best practices and standards, whereas crewAI provides a fast and flexible multi-agent automation framework. Both tools aim at simplifying the process of building agents but focus on different aspects.","successor_context":null,"tool":{"slug":"langwatch-better-agents","name":"better-agents","tagline":"Standards for building agents, better","github_url":"https://github.com/langwatch/better-agents","owner":"langwatch","repo":"better-agents","owner_avatar_url":"https://avatars.githubusercontent.com/u/146763322?v=4","primary_language":"TypeScript","stars":1553,"forks":152,"topics":["agent-framework","agent-testing","ai-agents","cli","dev-tool","lllm","llmops","mcp","python","typescript"],"archived":false,"github_pushed_at":"2026-06-03T17:12:53+00:00","maintenance_label":"Steady","stars_delta_30d":1,"url":"https://www.graphcanon.com/tools/langwatch-better-agents","markdown_url":"https://www.graphcanon.com/tools/langwatch-better-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langwatch-better-agents","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langwatch-better-agents"}},{"type":"integrates_with","direction":"in","explanation":"AgentGuide 提到了 crewAI 标签，并且涵盖多智能体系统的相关内容，可能与 crewAI 进行集成。","successor_context":null,"tool":{"slug":"adongwanai-agentguide","name":"AgentGuide","tagline":"AI Agent development guide with career and interview preparation","github_url":"https://github.com/adongwanai/AgentGuide","owner":"adongwanai","repo":"AgentGuide","owner_avatar_url":"https://avatars.githubusercontent.com/u/54011546?v=4","primary_language":"HTML","stars":8484,"forks":835,"topics":["agenticrag","ai-agent","crewai","graphrag","grpo","interview","job-hunting","langchain","llm","multi-agent","rag","sft","tutorial"],"archived":false,"github_pushed_at":"2026-08-04T06:02:35+00:00","maintenance_label":"Active","stars_delta_30d":1368,"url":"https://www.graphcanon.com/tools/adongwanai-agentguide","markdown_url":"https://www.graphcanon.com/tools/adongwanai-agentguide.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/adongwanai-agentguide","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=adongwanai-agentguide"}},{"type":"alternative","direction":"in","explanation":"autogen and crewAI both serve as frameworks for orchestrating multiple AI agents, although autogen focuses more on the agentic aspect of AI while crewAI specifically mentions role-playing in this context.","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"}}],"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":"reworkd-agentgpt","name":"AgentGPT","tagline":"Assembler for autonomous AI Agents","github_url":"https://github.com/reworkd/AgentGPT","owner":"reworkd","repo":"AgentGPT","owner_avatar_url":"https://avatars.githubusercontent.com/u/120154269?v=4","primary_language":"TypeScript","stars":36304,"forks":9288,"topics":["agent","agentgpt","agents","agi","ai","ai-agents","autogpt","baby-agi","gpt","langchain","llm","next","openai","t3","t3-stack"],"archived":true,"github_pushed_at":"2025-04-29T01:19:32+00:00","maintenance_label":"Archived","url":"https://www.graphcanon.com/tools/reworkd-agentgpt","markdown_url":"https://www.graphcanon.com/tools/reworkd-agentgpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/reworkd-agentgpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=reworkd-agentgpt","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":"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":28973,"forks":3367,"topics":["agent","chatbot","large-language-models","llm","llm-agent","mcp","multi-agent","multi-modal","react-agent"],"archived":false,"github_pushed_at":"2026-08-14T15:37:06+00:00","maintenance_label":"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-genai-agents","name":"GenAI_Agents","tagline":"50+ tutorials and implementations for Generative AI Agent techniques","github_url":"https://github.com/NirDiamant/GenAI_Agents","owner":"NirDiamant","repo":"GenAI_Agents","owner_avatar_url":"https://avatars.githubusercontent.com/u/28316913?v=4","primary_language":"Jupyter Notebook","stars":23814,"forks":3999,"topics":["agentic-ai","agents","ai","ai-agents","autonomous-agents","genai","generative-ai","langchain","langgraph","llm","llms","machine-learning","mcp","multi-agent","multi-agent-systems","openai","python","rag","tutorials"],"archived":false,"github_pushed_at":"2026-08-15T00:52:09+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/nirdiamant-genai-agents","markdown_url":"https://www.graphcanon.com/tools/nirdiamant-genai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nirdiamant-genai-agents","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nirdiamant-genai-agents","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":18020,"forks":3298,"topics":[],"archived":false,"github_pushed_at":"2026-08-07T15:58:42+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":12718,"forks":2143,"topics":["agent-framework","agentic-ai","agents","ai","dotnet","multi-agent","orchestration","python","sdk","workflows"],"archived":false,"github_pushed_at":"2026-08-10T23:32:05+00:00","maintenance_label":"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":"hkuds-autoagent","name":"AutoAgent","tagline":"Fully-Automated and Zero-Code LLM Agent Framework","github_url":"https://github.com/HKUDS/AutoAgent","owner":"HKUDS","repo":"AutoAgent","owner_avatar_url":"https://avatars.githubusercontent.com/u/118165258?v=4","primary_language":"Python","stars":9738,"forks":1357,"topics":["agent","llms"],"archived":false,"github_pushed_at":"2025-10-16T06:35:28+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/hkuds-autoagent","markdown_url":"https://www.graphcanon.com/tools/hkuds-autoagent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/hkuds-autoagent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=hkuds-autoagent","shared_categories":["ai-agents"]},{"slug":"openbmb-xagent","name":"XAgent","tagline":"An Autonomous LLM Agent for Complex Task Solving","github_url":"https://github.com/OpenBMB/XAgent","owner":"OpenBMB","repo":"XAgent","owner_avatar_url":"https://avatars.githubusercontent.com/u/89920203?v=4","primary_language":"Python","stars":8534,"forks":904,"topics":[],"archived":false,"github_pushed_at":"2026-07-31T03:30:54+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/openbmb-xagent","markdown_url":"https://www.graphcanon.com/tools/openbmb-xagent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/openbmb-xagent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=openbmb-xagent","shared_categories":["ai-agents"]},{"slug":"open-multi-agent-open-multi-agent","name":"open-multi-agent","tagline":"Orchestrates AI agents with dynamic workflows via runtime task planning.","github_url":"https://github.com/open-multi-agent/open-multi-agent","owner":"open-multi-agent","repo":"open-multi-agent","owner_avatar_url":"https://avatars.githubusercontent.com/u/279300633?v=4","primary_language":"TypeScript","stars":6768,"forks":2420,"topics":["agent-framework","agent-orchestration","agentic-ai","ai-agents","anthropic","claude","claude-code","crewai-alternative","deepseek","dynamic-workflows","gemini","langgraph-alternative","llm","local-llm","mcp","multi-agent","nodejs","ollama","openai","typescript"],"archived":false,"github_pushed_at":"2026-08-12T17:51:09+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/open-multi-agent-open-multi-agent","markdown_url":"https://www.graphcanon.com/tools/open-multi-agent-open-multi-agent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/open-multi-agent-open-multi-agent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=open-multi-agent-open-multi-agent","shared_categories":["ai-agents"]},{"slug":"darrenhinde-openagentscontrol","name":"OpenAgentsControl","tagline":"AI agent framework for plan-first development with multi-language support and automated code practices","github_url":"https://github.com/darrenhinde/OpenAgentsControl","owner":"darrenhinde","repo":"OpenAgentsControl","owner_avatar_url":"https://avatars.githubusercontent.com/u/107584450?v=4","primary_language":"TypeScript","stars":4644,"forks":371,"topics":["ai-agents","ai-agents-framework","ai-t","automation","code-generation","code-validation","developer-tools","opencode","prompt-engineering"],"archived":false,"github_pushed_at":"2026-07-21T22:24:58+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/darrenhinde-openagentscontrol","markdown_url":"https://www.graphcanon.com/tools/darrenhinde-openagentscontrol.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/darrenhinde-openagentscontrol","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=darrenhinde-openagentscontrol","shared_categories":["ai-agents"]},{"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"]}]}}