CrewAI vs Letta
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose CrewAI if you want open-source framework for orchestrating role-based, collaborating multi-agent teams (Supervised agent, freemium); choose Letta if you want open-source framework for stateful ai agents with long-term memory (Supervised agent, freemium).
| CrewAI | Letta | |
|---|---|---|
| What it is | Open-source framework for orchestrating role-based, collaborating multi-agent teams | Open-source framework for stateful AI agents with long-term memory |
| Type | framework | framework |
| Autonomy | Supervised agent | Supervised agent |
| Pricing | freemium · Framework free (open source); paid tiers reported from ~$25/mo | freemium · Free (open source); Cloud Pro $20/mo + usage |
| Best for | developers, enterprise, mid-market | developers |
| Deployment | self-hosted, api, saas | self-hosted, saas, api |
| Modalities | text, code, api | text, code, api |
| Models | model-agnostic, gpt, claude | model-agnostic, gpt, claude, open-source |
| Protocols | function-calling, mcp, rest-api | mcp, rest-api |
| Integrations | OpenAI, Anthropic, Slack, Serper, Datadog | MCP servers, OpenAI, Anthropic, Ollama, custom tools |
| Capabilities | 4 documented | 4 documented |
CrewAI
- +Clean, lean abstraction (Crews + Flows) that many developers find simpler and faster than heavier frameworks
- +Standalone (no LangChain dependency) with strong multi-agent collaboration primitives out of the box
- +Provides a managed enterprise control plane (observability, RBAC, human-in-the-loop) for moving to production
- -Multi-agent designs can compound error rates and cost; not always cheaper or more reliable than a single agent
- -Newer and smaller ecosystem than LangChain, with fewer integrations and less battle-testing
Letta
- +Genuinely differentiated memory architecture (self-editing memory blocks from MemGPT research, not a RAG wrapper)
- +Open source under Apache-2.0, self-hostable, and model-agnostic, which avoids lock-in
- +Strong developer ergonomics: REST API, Python and TypeScript SDKs, and the ADE GUI with deep state visibility
- -Positioning has become muddy across research lab, stateful-agents platform, and a Letta Code coding agent
- -Real usage costs climb well beyond the $20 Pro tier once LLM token pass-through is counted
Which should you choose?
CrewAI is open-source framework for orchestrating role-based, collaborating multi-agent teams, best for developers, enterprise, mid-market. Letta is open-source framework for stateful ai agents with long-term memory, best for developers. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.