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CrewAI

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CrewAI is the MIT-licensed Python framework for orchestrating role-playing autonomous AI agents, and at 59,157 stars it is now the most-starred multi-agent framework of the post-AutoGen generation (GitHub API, as of 2026-09-29).

CrewAI is the rare framework whose community outgrew its launch wave: it kept shipping while AutoGen froze, and a real enterprise platform now funds the open source.

What it is
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A Python (3.10 to 3.13) framework where you compose agents with roles, goals, and backstories into crews that run tasks sequentially or in parallel. It is built by CrewAI Inc, a San Francisco and Brazil company founded by João Moura, with the open source framework launched in late 2023. The platform side adds a visual editor, an AI copilot, GitHub integration, and enterprise governance (SSO, RBAC, PII redaction). The repo sits at 59,157 stars with 8,601 forks, MIT licensed, created 2023-10-27 (GitHub API, as of 2026-09-29).

Status
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Active and heavily maintained: last push 2026-09-29, latest release 1.15.23 on 2026-09-28, and crewai 1.15.23 on PyPI (GitHub API, PyPI, as of 2026-09-29). The company raised $18M across seed and Series A in October 2024, led by Insight Partners and boldstart ventures, with Andrew Ng and HubSpot co-founder Dharmesh Shah as angels (SiliconANGLE). Company claims include roughly half the Fortune 500 using the open source and 10 million+ agents executed monthly; I could not independently verify either number.

Strengths
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  • The role-and-crew abstraction is the most copied metaphor in multi-agent tooling, and it made multi-agent automation legible to teams that never wanted to write a message loop.
  • The dual open source plus enterprise motion is real: $18M raised, 150 enterprise beta customers claimed in the first year, and the OSS still ships weekly.
  • Notable enough to have a Wikipedia article, which almost no OSS agent framework can say.
  • MIT at the package level, so vendoring and embedding carry no license surprises.

Cautions
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  • Independent critique is thin relative to the star count: the largest HN threads are hobby showcases (26 points at best), not technical debates, so the community is bigger than its public scrutiny.
  • Headline traction numbers (“nearly half the Fortune 500”, “10 million+ agents per month”) are company marketing.
  • The OSS is the funnel for an enterprise platform, so expect platform-first decisions in the roadmap.
  • It is a general task-automation framework, not a coding-agent orchestrator; there is no worktree, session, or repository model here.

Pricing
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The open source framework is free under MIT. The CrewAI platform has a Basic plan at $0 (visual editor, AI copilot, GitHub integration, 50 workflow executions per month) and Enterprise at custom pricing (SSO, RBAC, workload identity, PII redaction, flexible deployment).

Price history
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Date Plan Change Source
2026-09-29 Basic observed at $0 with 50 workflow executions/month https://www.crewai.com/pricing
2026-09-29 Enterprise observed at custom quote-based pricing https://www.crewai.com/pricing

Compared to
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  • AutoGen: the conversation-first predecessor, now in maintenance mode; CrewAI is where much of that community went.
  • Agno: the performance-pitch Python rival, with its own runtime and control plane; choose Agno for self-hosted serving, CrewAI for role-based crews with an enterprise console.
  • Mastra: the TypeScript peer; choose it if your stack is Node and you want evals built in.

Bottom line
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Recommended for Python teams automating multi-step role-based work who want a free framework with a credible enterprise on-ramp. Not for coordinating parallel coding agents (that is the rest of this category), and not for buyers who need independently verified enterprise traction.

Changes
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  • 2026-09-29 - Created when the deferred framework-tier pile from the 2026-09-27 triage resolved.

See also
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  • AutoGen - the maintenance-mode framework CrewAI displaced in mindshare
  • Agno - the Python framework rival with the performance-first pitch
  • Mastra - the TypeScript counterpart from the Gatsby team
  • Orchestration Feature Matrix - the category comparison this column joins

References
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