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Letta is an AI platform developed by the Letta AI lab, originating from UC Berkeley's Sky Computing Lab, that builds memory-first agents capable of continual learning. Unlike traditional stateless AI sessions, Letta agents maintain persistent memory, allowing them to learn from experience and improve over time. The core problem it solves is the lack of long-term memory in AI agents, enabling deeply personalized interactions that evolve with user input. Key capabilities include persistent agents with unique identities, background memory processing (dream agents) that refine prompts and skills, multi-model memory portability across different AI providers, and remote control across devices. Letta is designed for developers, researchers, and businesses building AI applications that require adaptive, learning agents. It fits workflows involving personalized assistants, coding agents, research simulations, and any scenario where an AI needs to remember and learn from past interactions.
4.5/5
High, consistent, and context-aware
Clean and developer-focused
To build persistent AI agents that continually learn and adapt from experience.
Runs on macOS, Windows, Linux; integrates with any LLM API; supports CLI, desktop app, and SDK.
Free with own API keys; paid plans for hosted agents
Features with the highest value for users are highlighted here.
Persistent agents with continual learning
Background memory agents (dream agents)
Multi-model memory portability
Cross-device and cross-environment deployment
Agent teleportation with context preservation
Memory palace visualization
Context Constitution for memory management
Sleep-time compute for idle-time reasoning
AI Researchers
Software Developers
Product Teams
Data Scientists
Startups
Enterprise IT
Educators
Hobbyists
Customer Support Teams
Game Developers
Free (Self-hosted)
Pro
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
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