AutoGen vs Letta
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose AutoGen if you want microsoft framework for multi-agent conversational ai applications (Supervised agent, free); choose Letta if you want open-source framework for stateful ai agents with long-term memory (Supervised agent, freemium).
| AutoGen | Letta | |
|---|---|---|
| What it is | Microsoft framework for multi-agent conversational AI applications | Open-source framework for stateful AI agents with long-term memory |
| Type | framework | framework |
| Autonomy | Supervised agent | Supervised agent |
| Pricing | free · Free (open source) | freemium · Free (open source); Cloud Pro $20/mo + usage |
| Best for | developers, enterprise | developers |
| Deployment | self-hosted, api | self-hosted, saas, api |
| Modalities | text, code, api | text, code, api |
| Models | model-agnostic, gpt, claude, open-source | model-agnostic, gpt, claude, open-source |
| Protocols | function-calling, rest-api | mcp, rest-api |
| Integrations | OpenAI, Azure OpenAI, Anthropic, Ollama | MCP servers, OpenAI, Anthropic, Ollama, custom tools |
| Capabilities | 4 documented | 4 documented |
AutoGen
- +Strong, well-known abstraction for multi-agent conversation (two-agent and group-chat patterns) from Microsoft Research
- +v0.4 rewrite brings an asynchronous, event-driven architecture with better observability and control
- +Open source, model-agnostic, and supports humans as first-class participants in agent conversations
- -Framework, not a product: autonomy and reliability depend entirely on what the developer builds
- -Now community-managed and described as in maintenance mode, with the original team's active work continuing under the renamed AG2 project
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?
AutoGen is microsoft framework for multi-agent conversational ai applications, best for developers, enterprise. 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 AutoGen and Letta profiles. Open either profile to review its evidence and last-reviewed date.