powermem

项目介绍

Persistent, self-evolving memory for AI agents and applications.

PowerMem combines vector, full-text, and graph retrieval with LLM-driven memory extraction and Ebbinghaus-style time decay. It ships two-layer Experience + Skill distillation for self-evolving memory, multi-agent isolation, user profiles, and multimodal signals (text, image, audio).

AI agents need more than chat history. Context windows are finite, and naive "save everything" memory quickly becomes noisy, expensive, and hard to retrieve from. PowerMem turns conversations, actions, and feedback into structured long-term memory that can be searched, updated, decayed, and shared across agents.

Use PowerMem when you are…