by NevaMind-AI · MCP Server · ★ 14.3k
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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 | 14,269 |
| Forks | 1,054 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 55.6348819576825/100 |
| Open Issues | 110 |
| Last Updated | 2026-08-07 |
| Created | 2025-07-29 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~19k |
Looking for a memU alternative? If you're comparing memU with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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memU is Personal memory across agents. It is categorized as a MCP Server with 14.3k 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 14.3k stars and 1054 forks, indicating an active community.
The top alternatives to memU on Agent Skills Hub include EverMemOS, chatgpt-on-wechat, claude-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.