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Lettuce (Letta)

Framework for building long-context LLM agents with persistent memory and state.


Overview

Letta specializes in agents that remember context over long periods. It implements a memory architecture that mimics human recall, allowing agents to maintain personality and history across sessions without relying solely on context windows.

Best for

  • Long-running agents
  • Character AI

Trade-offs

vs LangChain Memory
Letta is purpose-built for deep memory; LangChain memory is generic and often shallow.

What XeroHack pre-wires

When you pick Lettuce (Letta) in the interview, the engine emits these files into your scaffold:

  • Agent config
  • Memory store

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