CrewAI

Overview

CrewAI orchestrates role-based AI agents ('crews') that collaborate using shared vector memory and tools to solve complex tasks.

Vector Integration

Integrates with vector stores for long-term memory and knowledge retrieval:

• Entity memory backed by vector databases
• Context-aware retrieval for agent decision-making
• Compatible with Qdrant, Pinecone via LangChain integrations

Features

• Tool Calling: 100+ built-in tools (search, databases, APIs)
• Memory: Short-term, long-term, entity, contextual memory with vector backing
• Agents: Hierarchical crews with planning, delegation, and execution

Use Cases

• Multi-agent chatbots for customer support
• Autonomous research agents
• Workflow automation crews

Comparisons

CrewAI focuses on multi-agent collaboration vs LangChain's chain-based orchestration.

Pricing

Open-source.