Summary
The multi-agent framework where agents have roles and collaborate as a crew — plus a platform to run them in production.
Description
CrewAI is a Python framework for orchestrating multiple AI agents, built on a role-playing metaphor: each agent has a role, a goal, and a backstory, and they collaborate on tasks the way a team would.
The framework
- Crews for autonomous collaboration, where agents delegate to each other to accomplish a shared objective
- Flows for deterministic, event-driven orchestration when you need precise control rather than emergent behaviour — most production systems mix both
- Tools for search, scraping, file handling, code execution, and databases, plus your own
- Memory — short-term, long-term, and entity memory shared across a crew
- Model agnostic, working with any provider or local model
The platform
CrewAI Enterprise deploys crews as APIs with monitoring, tracing, scheduling, and human-in-the-loop approvals, which is the part most teams end up building themselves otherwise.
Who uses it
It is one of the most widely adopted agent frameworks, with a large community and course ecosystem. Good for research automation, report generation, data pipelines with judgement steps, and any workflow that decomposes into specialist roles.
Open source and free; the enterprise platform is paid.
Reviews
Similar App Suggestions
Gumloop
A visual canvas for AI automations that anyone on the team can build, share, and run.
Browserbase
Headless browser infrastructure for AI agents — sessions, stealth, proxies, and live view, without running Chrome yourself.
Browser Use
The open-source library that lets AI agents actually use websites — clicking, typing, and reading like a person.
Dify
LangGenius
An open-source platform for building production LLM applications — visual workflows, RAG, and agents in one place.
Relevance AI
Build a team of specialist AI agents — recruit, brief, and manage them like staff, with no code required.