Microsoft's open-source multi-agent framework — orchestrate conversations between specialised agents.

Open-source framework for orchestrating role-playing autonomous AI agents in collaborative crews.
| Spec | CrewAI | LangGraph |
|---|---|---|
| Agent Rank | 70 / 100 (B) | 68 / 100 (B) |
| Autonomy | Autonomous | Autonomous |
| Pricing | Free · OSS | Free · OSS |
| Open source | Yes | Yes |
| Capabilities | Multi-agent, Tool use, Memory | Multi-agent, Tool use, Memory |
| Integrations | 4 apps | 3 apps |
| Verified | Verified | Verified |
| Released | Jan 2024 | Jun 2024 |
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
Pick CrewAI if its specific capabilities (Multi-agent, Tool use) match what you need.
Try CrewAI →Pick LangGraph if its specific capabilities (Multi-agent, Tool use) match what you need.
Try LangGraph →Affiliate links. We may earn a commission at no extra cost to you.
Pick CrewAI if its specific capabilities (Multi-agent, Tool use) match what you need. Pick LangGraph if its specific capabilities (Multi-agent, Tool use) match what you need. Most working teams running both can use CrewAI for primary work and LangGraph for the workflows where its specific strengths matter.
Both CrewAI and LangGraph start in the same pricing range (Free · OSS vs Free · OSS). Total cost of ownership depends on your team size and volume — see the TCO calculator for your specific math.
Both CrewAI and LangGraph are Autonomous agents — neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.
Adjacent agents in the same category with overlapping capabilities — worth a side-by-side glance before you commit.
Microsoft's open-source multi-agent framework — orchestrate conversations between specialised agents.

OpenAI's lightweight multi-agent reference implementation — handoff + routine patterns, educational.

Open-source workflow automation with first-class AI agent nodes — self-host or use cloud.