Agent frameworks
CrewAI
A Python framework that combines role-oriented agent crews with event-driven flows for coordinating multi-step AI applications.
Overview
Research summary
CrewAI helps developers organize AI work into agents, roles, tasks, and execution flows. Its crews support collaborative task execution, while flows provide more explicit event-driven control over application state and sequencing. Developers can connect tools and model providers and decide where a workflow delegates reasoning to an agent versus following ordinary programmatic logic.
The open repository is a Python framework and its associated tooling, not the whole set of commercially offered CrewAI services. It can be used as a building block for domain-specific automation rather than only software development. Execution still depends on the configured models, tool implementations, credentials, and infrastructure; orchestration alone does not guarantee reliable output or safe actions.
The repository uses MIT licensing, while hosted management products and external model services are separate offerings with their own conditions.
Repository summary
- Stars
- 58,650
- Open issues
- Unavailable
- Last push
- 2026-09-16
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services available
The provider offers paid products or services. Free options may also be available.
Commercial offering checked 2026-10-02.
Licence scope
Implementation
Recorded implementation details and interfaces for CrewAI.
Implementation details
Python agent crews, flow runtime and CLI
- Languages
- Python
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- 58,650
- Open issues
- Unavailable
- Last push
- 2026-09-16
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
- Stars source
- Recorded fallback
- Last push source
- Recorded fallback
Documentation
Recorded references and research provenance for this entry.
Recorded sources 10
- https://github.com/crewAIInc/crewAI Project page · Linked repository · Research reference · Commercial offering evidence
- https://github.com/crewAIInc/crewAI/blob/main/README.md Research reference
- https://github.com/crewAIInc/crewAI/blob/main/LICENSE Research reference
- https://github.com/stars/angelcervera/lists/ai Research reference
- https://raw.githubusercontent.com/crewAIInc/crewAI/HEAD/README.md Research reference
- https://crewai.com Research reference
- https://www.youtube.com/watch?v=-kSOTtYzgEw Research reference
- https://www.youtube.com/oembed?url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3D-kSOTtYzgEw&format=json Research reference
- https://www.youtube.com/@crewAIInc Research reference
- https://crewai.com/pricing Commercial offering evidence
Research metadata
- Research date
- 2026-09-16
- Catalogue snapshot
- 2026-10-06
Community & social 4 channels
Video
- YouTubeCrewAIOfficialLearningDemos
Link details for YouTube — CrewAI
- Access
- Public
- Last checked
Communities
- Forumcommunity.crewai.comOfficial
Link details for Forum
- Access
- Public
- Last checked
Social & updates
- Xx.com/crewAIIncOfficial
Link details for X
- Last checked
- LinkedInwww.linkedin.com/company/crewai-incOfficial
Link details for LinkedIn
- Last checked