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.
This comparison is generated from the sourced CrewAI and Letta profiles. Open either profile to review its evidence and last-reviewed date.