crewai-multi-agent
Autonomous multi-agent orchestration framework for collaborative AI teams solving complex tasks.
- Role-based agents with goals, backstories, and autonomous decision-making; supports sequential and hierarchical task execution with built-in memory (short-term, long-term, entity)
- 50+ pre-built tools including web search, scraping, PDFs, databases, and code documentation; custom tools via BaseTool class
- Dual execution paradigm: Crews for autonomous collaboration and Flows for event-driven workflows with conditional logic and state management
- YAML-based configuration for agents and tasks; supports multiple LLM providers (OpenAI, Anthropic, Azure, local Ollama) with no LangChain dependency
CrewAI - Multi-Agent Orchestration Framework
Build teams of autonomous AI agents that collaborate to solve complex tasks.
When to use CrewAI
Use CrewAI when:
- Building multi-agent systems with specialized roles
- Need autonomous collaboration between agents
- Want role-based task delegation (researcher, writer, analyst)
- Require sequential or hierarchical process execution
- Building production workflows with memory and observability
- Need simpler setup than LangChain/LangGraph
Key features:
- Standalone: No LangChain dependencies, lean footprint
- Role-based: Agents have roles, goals, and backstories
- Dual paradigm: Crews (autonomous) + Flows (event-driven)
- 50+ tools: Web scraping, search, databases, AI services
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