Memory
letta-ai/letta
Letta is a platform for stateful agents that preserve and update long-term memory. It is built around the idea that memory management is an active part of the agent architecture, not simply a transcript appended to every request.
THE PRACTICAL EXPLANATION
Letta is a platform for stateful agents that preserve and update long-term memory. It is built around the idea that memory management is an active part of the agent architecture, not simply a transcript appended to every request.
WHERE TO USE IT
Use it for continuing assistants, research or operational agents that must maintain working context across sessions and evolve their stored knowledge.
WHO MAY USE IT
Developers and researchers building persistent agents who can manage memory privacy, drift, correction and lifecycle.
HOW TO USE IT
Prototype with synthetic data and inspect exactly what enters, leaves and changes in memory. Define which facts may persist, how users correct them and when records expire. Evaluate whether continuity improves performance enough to justify the added risk.
GETTING THE BEST RESULTS
WHY IT MAY BE USEFUL
Platform for stateful agents with long-term memory.
Best considered for: Agents that must preserve and update context over time.
READ BEFORE YOU ADOPT IT
Persistent memory creates privacy, drift and deletion obligations.
Confirm the current licence, maintenance status, dependency risk, data path, model access, tool permissions and human approval points at the source. A public repository is inspectable raw material—not proof that a system is secure, supported or suitable for your production environment.