--- title: "crewAI vs openagent" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/crewaiinc-crewai-vs-haohao-end-openagent" tools: ["crewaiinc-crewai", "haohao-end-openagent"] --- # crewAI vs openagent Neutral, constraint-first comparison with live GitHub stats. | | [crewAI](/tools/crewaiinc-crewai.md) | [openagent](/tools/haohao-end-openagent.md) | | --- | --- | --- | | Tagline | Fast and Flexible Multi-Agent Automation Framework | An end-to-end AI agent platform for building, orchestrating, publishing, and operating AI applications. | | Stars | 55,132 | 825 | | Forks | 7,752 | 80 | | Open issues | 617 | 45 | | Language | Python | Python | | Adopt for | CrewAI is an open-source Python framework used to orchestrate autonomous AI agents, enabling them to collaborate effectively on complex tasks. Users can leverage high-level abstractions and low-level APIs for development | OpenAgent is a full-stack platform designed for teams to create, manage, and publish AI applications with a combination of visual workflow authoring, an advanced backend stack (Flask, LangChain/LangGraph), and a Vue 3 UI | | Persona | - | - | | Runtime | - | - | | License | MIT | Open-source under MIT License | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [crewAI](/tools/crewaiinc-crewai.md) | [openagent](/tools/haohao-end-openagent.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 13d | | Open issues (now) | 617 | 45 | | Owner type | Organization | User | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/crewaiinc-crewai/trust.md) | [trust report](/tools/haohao-end-openagent/trust.md) | **Typed relationship:** crewAI _(alternative)_ openagent Both CrewAI and openagent offer platforms for building and orchestrating AI agents, but they may have different capabilities or user experiences. ## Shared compatibility - **Python**: [crewAI](/tools/crewaiinc-crewai.md) - Python runtime; [openagent](/tools/haohao-end-openagent.md) - Python runtime ## Decision facts: crewAI - **Adopt for:** CrewAI is an open-source Python framework used to orchestrate autonomous AI agents, enabling them to collaborate effectively on complex tasks. Users can leverage high-level abstractions and low-level APIs for development ## Decision facts: openagent - **Requirements:** Min 4 GB RAM; Requires Docker; Requires Python 3.11 or higher.; Docker Compose is required for running the application and managing services. - **Adopt for:** OpenAgent is a full-stack platform designed for teams to create, manage, and publish AI applications with a combination of visual workflow authoring, an advanced backend stack (Flask, LangChain/LangGraph), and a Vue 3 UI - **License detail:** Open-source under MIT License ## Choose when ### Choose crewAI if… - Both CrewAI and openagent offer platforms for building and orchestrating AI agents, but they may have different capabilities or user experiences. - Tags unique to crewAI: llms, agents, aiagentframework, ai-agents. - - Use CrewAI when you need a flexible, production-ready solution to develop multi-agent workflows that emphasize collaborative intelligence and autonomy. ### Choose openagent if… - Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.11 or higher.; Docker Compose is required for running the application and managing services.. - Both CrewAI and openagent offer platforms for building and orchestrating AI agents, but they may have different capabilities or user experiences. - Tags unique to openagent: ai, flask, faiss-vector-database, docker. - - You need a comprehensive solution for building complex AI agents that can handle deep reasoning loops and multi-step tasks using technologies like RAG, A2A delegation. ## When NOT to use crewAI - - Avoid using CrewAI if you require immediate support for a proprietary language or framework not natively supported by the Python ecosystem. - - Do not use CrewAI when your project strictly demands a closed-source solution and lacks tolerance for open-source licensing. ## When NOT to use openagent - - If you are looking for a platform primarily aimed at creating simple chatbots or single-purpose applications without the need for extensive workflow customization and deep reasoning capabilities. - - You prefer tools that do not rely heavily on visual component orchestration, as OpenAgent's strength lies in its visual workflow design environment which may be overkill for simpler use cases. ## Common questions ### What is the difference between crewAI and openagent? crewAI: Fast and Flexible Multi-Agent Automation Framework. openagent: An end-to-end AI agent platform for building, orchestrating, publishing, and operating AI applications.. See the comparison table for live GitHub stats and shared categories. ### When should I choose crewAI over openagent? Choose crewAI over openagent when Both CrewAI and openagent offer platforms for building and orchestrating AI agents, but they may have different capabilities or user experiences; Tags unique to crewAI: llms, agents, aiagentframework, ai-agents; - Use CrewAI when you need a flexible, production-ready solution to develop multi-agent workflows that emphasize collaborative intelligence and autonomy. ### When should I choose openagent over crewAI? Choose openagent over crewAI when Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.11 or higher.; Docker Compose is required for running the application and managing services.; Both CrewAI and openagent offer platforms for building and orchestrating AI agents, but they may have different capabilities or user experiences; Tags unique to openagent: ai, flask, faiss-vector-database, docker; - You need a comprehensive solution for building complex AI agents that can handle deep reasoning loops and multi-step tasks using technologies like RAG, A2A delegation. ### When should I avoid crewAI? - Avoid using CrewAI if you require immediate support for a proprietary language or framework not natively supported by the Python ecosystem. - Do not use CrewAI when your project strictly demands a closed-source solution and lacks tolerance for open-source licensing. ### When should I avoid openagent? - If you are looking for a platform primarily aimed at creating simple chatbots or single-purpose applications without the need for extensive workflow customization and deep reasoning capabilities. - You prefer tools that do not rely heavily on visual component orchestration, as OpenAgent's strength lies in its visual workflow design environment which may be overkill for simpler use cases. ### Is crewAI or openagent more popular on GitHub? crewAI has more GitHub stars (55,132 vs 825). Stars measure visibility, not whether either tool fits your constraints. ### Are crewAI and openagent open source? Yes - both are open-source projects on GitHub (crewAI: MIT, openagent: MIT). ### Where can I find alternatives to crewAI or openagent? GraphCanon lists graph-backed alternatives at /tools/crewaiinc-crewai/alternatives and /tools/haohao-end-openagent/alternatives (/tools/crewaiinc-crewai/alternatives.md, /tools/haohao-end-openagent/alternatives.md), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at /compare/crewaiinc-crewai-vs-haohao-end-openagent.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, crewAI or openagent? crewAI: Very active. openagent: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for crewAI and openagent? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: crewAI: /tools/crewaiinc-crewai/trust; openagent: /tools/haohao-end-openagent/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=crewaiinc-crewai`](/api/graphcanon/graph?tool=crewaiinc-crewai) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_