--- title: "crewAI vs agency" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/crewaiinc-crewai-vs-operand-agency" tools: ["crewaiinc-crewai", "operand-agency"] --- # crewAI vs agency Neutral, constraint-first comparison with live GitHub stats. | | [crewAI](/tools/crewaiinc-crewai.md) | [agency](/tools/operand-agency.md) | | --- | --- | --- | | Tagline | Fast and Flexible Multi-Agent Automation Framework | A fast and minimal framework for building agentic systems | | Stars | 55,132 | 487 | | Forks | 7,752 | 28 | | Open issues | 617 | 19 | | 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 | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [crewAI](/tools/crewaiinc-crewai.md) | [agency](/tools/operand-agency.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 27d | | Open issues (now) | 617 | 19 | | Owner type | Organization | User | | Security scan | No lockfile | Not scanned | | Full report | [trust report](/tools/crewaiinc-crewai/trust.md) | [trust report](/tools/operand-agency/trust.md) | **Typed relationship:** crewAI _(alternative)_ agency Both Agency and crewAI aim to create flexible multi-agent systems, with crewAI emphasizing ease of use in automation while Agency focuses on a minimalist approach. ## Shared compatibility - **Python**: [crewAI](/tools/crewaiinc-crewai.md) - Python runtime; [agency](/tools/operand-agency.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 ## Choose when ### Choose crewAI if… - Both Agency and crewAI aim to create flexible multi-agent systems, with crewAI emphasizing ease of use in automation while Agency focuses on a minimalist approach. - Tags unique to crewAI: llms, 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 agency if… - Both Agency and crewAI aim to create flexible multi-agent systems, with crewAI emphasizing ease of use in automation while Agency focuses on a minimalist approach. - Tags unique to agency: ai, actor-model, actor, api. - Leaner open-issue backlog (19). ## 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 agency - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ## Common questions ### What is the difference between crewAI and agency? crewAI: Fast and Flexible Multi-Agent Automation Framework. agency: A fast and minimal framework for building agentic systems. See the comparison table for live GitHub stats and shared categories. ### When should I choose crewAI over agency? Choose crewAI over agency when Both Agency and crewAI aim to create flexible multi-agent systems, with crewAI emphasizing ease of use in automation while Agency focuses on a minimalist approach; Tags unique to crewAI: llms, 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 agency over crewAI? Choose agency over crewAI when Both Agency and crewAI aim to create flexible multi-agent systems, with crewAI emphasizing ease of use in automation while Agency focuses on a minimalist approach; Tags unique to agency: ai, actor-model, actor, api; Leaner open-issue backlog (19). ### 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 agency? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ### Is crewAI or agency more popular on GitHub? crewAI has more GitHub stars (55,132 vs 487). Stars measure visibility, not whether either tool fits your constraints. ### Are crewAI and agency open source? Yes - both are open-source projects on GitHub (crewAI: MIT, agency: MIT). ### Where can I find alternatives to crewAI or agency? GraphCanon lists graph-backed alternatives at /tools/crewaiinc-crewai/alternatives and /tools/operand-agency/alternatives (/tools/crewaiinc-crewai/alternatives.md, /tools/operand-agency/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-operand-agency.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, crewAI or agency? crewAI: Very active. agency: 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 agency? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: crewAI: /tools/crewaiinc-crewai/trust; agency: /tools/operand-agency/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/_