A single AI agent solves simple tasks. Complex problems call for several agents collaborating, each specialized, like a team. CrewAI is one of the most used Python frameworks to orchestrate exactly that.
What is CrewAI?
CrewAI works at two levels: "Crews" (autonomous agents that collaborate by role, goal and context) and "Flows" (precise, event-driven control). It is independent of LangChain and has a large ecosystem of tools and connectors for production.
Key features
- Crews: agents with role, goal and memory that collaborate
- Flows: deterministic, event-driven orchestration
- Independent of LangChain, with a large tool ecosystem
- Billions of agent runs reported in production
- Around 54k GitHub stars
How Reche uses it
Multi-agent systems are the heart of RecheOS, where each engineering role is an agent. Reche designs and implements this kind of architecture for clients, with the governance that keeps "many agents" from becoming "many points of failure".