by NevaMind-AI · MCP Server · ★ 14.0k
memU 24/7 Always-On Proactive Memory for AI Agents English Français memU is a memory framework built for 24/7 proactive agents. It is designed for long-running use and greatly reduces the LLM token cost of keeping agents always online, making always-on, evolving agents practical in production systems. memU continuously captures and understands user intent. Even without a command, the agent can tell what you are about to do and
| Stars | 13,995 |
| Forks | 1,039 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 61.4458540599427/100 |
| Open Issues | 99 |
| Last Updated | 2026-07-07 |
| Created | 2025-07-29 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~19k |
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memU is Personal memory for agents - fast memory retrieval, self-evolving skills, and lower cost.. It is categorized as a MCP Server with 14.0k GitHub stars.
memU is primarily written in Python. It covers topics such as agent-memory, claude-skills, harness.
You can find installation instructions and usage details in the memU GitHub repository at github.com/NevaMind-AI/memU. The project has 14.0k stars and 1039 forks, indicating an active community.