CrewAI is a Python framework for orchestrating teams of autonomous agents. Each agent gets a role, a goal and a background, and works on tasks coordinated by a process defined by the developer.
What it is for
- Agent teams that collaborate on a shared task with distinct roles
- Sequential or hierarchical processes, with a manager agent delegating work
- Research, analysis, writing and review pipelines with chained steps
- Business task automation with custom tools and integrations
- Deterministic, event-driven flows (CrewAI Flows)
How it works
- The developer declares agents (role, goal, backstory), tasks and tools
- A Crew runs the tasks in the chosen process, passing context between agents
- Tools expose functions, APIs and searches the agents can call
- CrewAI Flows connect events and steps in a controlled way, combining deterministic code with agents
- Works with different model providers, without locking the project to a single vendor
License and maintenance
- Open-source core under the MIT license, maintained by CrewAI, Inc.
- Active project with frequent releases in 2026 and a large community
- The company offers CrewAI AMP, a commercial platform for deploying and managing crews
Strengths
- Low learning curve: the roles-and-tasks metaphor is direct
- A good fit for high-level multi-agent orchestration and fast prototyping
- Growing ecosystem of tools and integrations
Limitations
- Less low-level control over the flow than graph-based frameworks
- Main focus on Python