# MemOS vs memU

> Side-by-side comparison of two projects in the OpenClaw ecosystem.

Canonical HTML: https://shelldex.com/compare/memos-vs-memu/
JSON: https://shelldex.com/api/compare/memos-vs-memu.json

| Field | MemOS | memU |
| --- | --- | --- |
| Tagline | AI memory OS for agent systems | Memory-first proactive agent |
| Language | python | python |
| Status | active | active |
| Stars | 9.1k | 14k |
| Forks | 815 | 1023 |
| Open issues | 154 | 109 |
| License | Apache-2.0 | NOASSERTION |
| Last commit | 2026-05-15T10:39:26Z | 2026-04-22T12:36:17Z |
| 7d growth | 172 | 103 |
| MCP support | no | yes |
| Requires LLM | yes | yes |
| Platforms | server | server |
| Categories | memory, infrastructure | memory, proactive, self-hosted |
| Health score | 95/100 | 70/100 |
| Leaderboard rank | #15 | #12 |

## Key differences

- memU leads in stars (14k vs 9.1k), though both have substantial communities.
- MemOS was updated today, while memU's last commit was 23 days ago.
- MemOS uses the Apache-2.0 license while memU uses NOASSERTION.
- memU has MCP (Model Context Protocol) support while MemOS does not.
- MemOS focuses on infrastructure while memU targets proactive, self-hosted.
- MemOS scores higher on project health (maintenance activity, issue management, release cadence).

## Descriptions

### MemOS

Persistent skill memory for cross-task reuse and evolution — built for OpenClaw and similar agent frameworks

### memU

Long-term memory infrastructure for 24/7 AI agents. Proactive, cost-efficient, runs locally.