AutoGen vs Letta
Side-by-side comparison of AutoGen and Letta: pricing, features, API access, and community ratings.
TL;DR: AutoGen excels at orchestrating multiple AI agents that collaborate through structured conversations, ideal for complex workflows requiring agent-to-agent interaction and human oversight. Letta focuses on single agents with persistent, evolving memory that improves continuously over time without retraining, using unique features like git-based memory versioning and offline reasoning. Choose AutoGen for multi-agent systems and conversation patterns; choose Letta for long-term stateful agents that need to remember and learn from every interaction.
Letta An AI research lab building self-improving agents that remember everything and learn continuously. | ||
|---|---|---|
| Category | Agent frameworks | Agent frameworks |
| Pricing | Free | Freemium |
| Starting price | Free | |
| Free tier | ||
| Audience | Technical | All audiences |
| API available | ||
| Open source | ||
| Self-hostable | ||
| Model provider | OpenAI, Azure OpenAI, and others | |
| Founded | 2023 | 2023 |
| Headquarters | Redmond, USA | San Francisco, USA |
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