← Back to Directory

Letta AI

LLM Orchestrators

Overview

An open-source framework (formerly MemGPT) for building stateful AI agents with persistent memory. Letta allows agents to learn and grow with your business, managing their own long-term context and memory storage autonomously.

Letta (formerly MemGPT) is an open-source framework for building stateful agents with persistent, self-managed memory, so they retain context and learn across sessions. Its memory-management research underpins long-running, personalized assistants. It targets developers building agents that need durable memory.

Key Features

  • Persistent, self-managed agent memory
  • Stateful, long-running agents
  • Memory management research (MemGPT)
  • Tool integration
  • Open-source

Best For

Developers building stateful agents that need durable, long-term memory.

Pros & Cons

Pros
  • Strong long-term memory model
  • Stateful and persistent
  • Open-source
Cons
  • Memory management adds complexity
  • Requires storage infrastructure
Advertisement

Pulse Verdict

The memory layer for the agentic web. Letta solves the 'amnesiac AI' problem, providing the essential infrastructure for truly intelligent, long-term digital assistants.

Pricing

Open-source and free; managed cloud available.

Pricing changes often — confirm current plans on the official site.

Visit Official Website →

Related Tools

LangGraph

A library for building stateful, multi-agent applications with LLMs, built on top of LangChain. Provides fine-grained control over agent loops.

Mem0

A personalized memory layer for Large Language Models. Mem0 allows AI agents to remember user preferences, past interactions, and long-term context, enabling a truly personalized AI experience across multiple sessions.

See Letta AI Compared

AI Agents
Best AI Agent Memory Systems 2026: Mem0 vs Zep vs Letta

Master AI Automation 2026 and Generative Engine Optimization. Comparing Mem0, Zep, and Letta for long-term agent memory—architecture, benchmark accuracy, and when to use each.