Orchestration frameworkSoftware development
crewAI
Orchestrate multi-agent automation with role-based teams and event-driven flows.
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- Updated Jul 10, 2026
MIT
Orchestrate multi-agent automation with role-based teams and event-driven flows.
CrewAI combines two approaches to agent automation: Crews organize autonomous agents with roles, goals, tools, and tasks, while Flows provide explicit event-driven workflow control. Python developers can use these primitives for both collaborative and tightly managed processes, with optional tracing and centralized management. Example projects typically require API keys for the chosen model and any external tools.
Resource types
Use cases
Runtime
Configure and run custom multi-agent workflows without writing orchestration code.
Coordinate AI coding agents with persistent git-backed work tracking
Capabilities
Audience
Public GitHub facts last synced Jul 10, 2026.
Build enterprise AI workflows, RAG systems, agents, and model operations in one platform.
Keeps coding agents iterating through role-based loops until the task is complete or the limit is reached.