LangChain vs CrewAI
Compare LangChain and CrewAI on deployment, pricing, model support, and more.
LangChain
- Tagline
- Open-source LLM application framework — chains, agents, RAG, and 700+ integrations with 127K GitHub stars
- Description
- LangChain is the most widely used open-source framework for building LLM-powered applications. It provides composable abstractions for chains (sequencing LLM calls), agents (tool-using AI that can browse, run code, and call APIs), and RAG (retrieval-augmented generation with 700+ data and tool integrations). Available in Python and JavaScript, with LangSmith for observability and LangGraph for complex multi-agent workflows.
- Category
- LLM Frameworks
- Pricing
- Free
- Metric
- 146,114 GitHub stars (source)
- Link
- Visit
CrewAI
- Tagline
- Python framework for orchestrating role-playing multi-agent AI teams
- Description
- CrewAI is an open-source Python framework for building multi-agent AI systems. You define agents with roles, goals, and tools, then assemble them into a crew with a shared task. Agents collaborate, delegate, and use tools to accomplish complex goals — designed for production-grade autonomous AI teams.
- Category
- Agents
- Pricing
- Free
- Metric
- 58,362 GitHub stars (source)
- Link
- Visit
| Attribute | LangChain | CrewAI |
|---|---|---|
| Tagline | Open-source LLM application framework — chains, agents, RAG, and 700+ integrations with 127K GitHub stars | Python framework for orchestrating role-playing multi-agent AI teams |
| Category | LLM Frameworks | Agents |
| Pricing | Free | Free |
| Description | LangChain is the most widely used open-source framework for building LLM-powered applications. It provides composable abstractions for chains (sequencing LLM calls), agents (tool-using AI that can browse, run code, and call APIs), and RAG (retrieval-augmented generation with 700+ data and tool integrations). Available in Python and JavaScript, with LangSmith for observability and LangGraph for complex multi-agent workflows. | CrewAI is an open-source Python framework for building multi-agent AI systems. You define agents with roles, goals, and tools, then assemble them into a crew with a shared task. Agents collaborate, delegate, and use tools to accomplish complex goals — designed for production-grade autonomous AI teams. |
| Metric | 146,114 GitHub stars (source) | 58,362 GitHub stars (source) |
| Link | Visit | Visit |