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.