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 | Sakana AI |
|---|---|---|
| Agent Rank | 70 / 100 (B) | 63 / 100 (B) |
| Autonomy | Autonomous | Autonomous |
| Pricing | Free · OSS | Subscription |
| Open source | Yes | No |
| Capabilities | Multi-agent, Tool use, Memory | Tool use, Memory, RAG, Multi-agent |
| Integrations | 4 apps | 3 apps |
| Verified | Verified | — |
| Released | Jan 2024 | Sep 2025 |
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 cost is the main constraint or if auditability or self-hosting matters.
Try CrewAI →Pick Sakana AI if its specific capabilities (Tool use, Memory) match what you need.
Try Sakana AI →Affiliate links. We may earn a commission at no extra cost to you.
Pick CrewAI if cost is the main constraint or if auditability or self-hosting matters. Pick Sakana AI if its specific capabilities (Tool use, Memory) match what you need. Most working teams running both can use CrewAI for primary work and Sakana AI for the workflows where its specific strengths matter.
CrewAI starts at Free · OSS; Sakana AI starts at Subscription. CrewAI is the cheaper entry option. For team deployments the TCO can differ — use the AI Agent Rank TCO calculator for your specific volume.
Both CrewAI and Sakana AI 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.

LangChain's stateful multi-agent framework — graph-based orchestration with persistence and human-in-the-loop.

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