MindMemOS
<strong简体中文</strong │ <strongWebsite</strong │ <strongAPI Docs</strong │ <strongPYPI SDK</strong…
Install
pip install mindmemos-sdkInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →简体中文 │ Website │ API Docs │ PYPI SDK │ Deployment Guide
Accurately remember user and task context and reuse it across agents; evolve memory through ongoing interactions, automatically distill Skills, and connect with file-based knowledge systems so experience truly becomes capability.
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📰 News
- 2026-08-18: We released the DeepSeek Harness Plugin, letting DeepSeek Harness (dsh) agents automatically recall and write MindMemOS memories.
- 2026-08-14: We released the MindMemOS 1.0 technical report, MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents.
- 2026-07-17: MindMemOS integrated with LLM4AD_NEXT, providing searchable long-term memory for algorithm design tasks and enabling the accumulation and reuse of cross-task experience, domain knowledge, and constraints.
- 2026-06-30: MindMemOS was officially released!
🌟 Core Features
- Portable across agents: Persist user profiles, preferences, project facts, tool experience, and skill candidates as reusable assets, allowing OpenClaw, Hermes, Claude Code, OpenHands, and other agents to share or transfer the same long-term memory.
- Self-evolving memory system: Continuously improve memory quality through schema learning, dreaming, and feedback by automatically learning frequent memory patterns, consolidating memories offline, and using interaction corrections to optimize add/search workflows.
- Memory and Skills integration: Experience memories can be distilled into skill candidates, while skill execution results, failure traces, and user feedback flow back into the memory system to drive continuous skill evolution.
- Plugin integrations: Connect MindMemOS to different agents and workflows through plugins that retrieve and inject relevant memories before interactions and automatically write conversations back afterward. The OpenClaw Plugin and DeepSeek Harness Plugin are currently available, with more integrations in progress.
🚀 Quick Start
MindMemOS offers two deployment modes (official cloud service, local self-hosting) and three access methods (HTTP API, Python SDK / CLI, agent plugin). Any combination works — server and client speak the same protocol:
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