Agent frameworks · ranked 03
CrewAI
Multi-agent crews: roles, tasks, and a Python API.
Best for Role-based multi-agent prototypes in Python
CrewAI is an open-source Python framework for multi-agent workflows. You define agents with roles and hand them tasks. There is also a hosted platform. Use the library when the metaphor of a crew matches the product. Use one agent and the AI SDK when it does not.
Best use cases
- Several agents with different jobs on one task
- Python backends and scripts
- Demos where the crew metaphor is the product
Pros
- + The role-and-task model is easy to explain
- + The core library is open source
- + Fast to a multi-agent demo
Cons
- − Multi-agent setups multiply cost and failure modes
- − Hosted platform pricing: check site
Pricing
The library is open source. The hosted platform: check site.
Alternatives
Agent frameworks
7.3
LangGraph
Graph-shaped agents with state, from the LangChain team.
Best for Agents that are workflows, not a single loop
Agent frameworks
8.0
Mastra
TypeScript framework for agents, workflows, and evals.
Best for TypeScript agents you keep in your repo
Agent frameworks
6.7
LangChain
The original LLM application framework, plus a hosted LangSmith side.
Best for A general LLM app framework with a huge ecosystem