LangChain's stateful multi-agent framework — graph-based orchestration with persistence and human-in-the-loop.
Demo · hover to playMicrosoft's open-source multi-agent framework — orchestrate conversations between specialised agents.
| Spec | AutoGen | CrewAI |
|---|---|---|
| Agent Rank | 72 / 100 (A) | 70 / 100 (B) |
| Autonomy | Autonomous | Autonomous |
| Pricing | Free · OSS | Free · OSS |
| Open source | Yes | Yes |
| Capabilities | Multi-agent, Tool use, Code, Memory | Multi-agent, Tool use, Memory |
| Integrations | 3 apps | 4 apps |
| Verified | Verified | Verified |
| Released | Apr 2024 | Jan 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 AutoGen if its specific capabilities (Multi-agent, Tool use) match what you need.
Try AutoGen →Pick CrewAI if its specific capabilities (Multi-agent, Tool use) match what you need.
Try CrewAI →Affiliate links. We may earn a commission at no extra cost to you.
Pick AutoGen if its specific capabilities (Multi-agent, Tool use) match what you need. Pick CrewAI if its specific capabilities (Multi-agent, Tool use) match what you need. Most working teams running both can use AutoGen for primary work and CrewAI for the workflows where its specific strengths matter.
Both AutoGen and CrewAI 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 AutoGen and CrewAI 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.
LangChain's stateful multi-agent framework — graph-based orchestration with persistence and human-in-the-loop.
Demo · hover to playOpenAI's lightweight multi-agent reference implementation — handoff + routine patterns, educational.
Demo · hover to playOpen-source workflow automation with first-class AI agent nodes — self-host or use cloud.