by mem9-ai · Codex Skill · ★ 1.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Persistent Memory for AI Agents. Your agents forget everything between sessions. mem9 fixes that with persistent memory across sessions and machines, shared memory for multi-agent workflows, and hybrid recall with a visual dashboard. For OpenClaw and ClawHub installs, start here: mem9.ai/openclaw-memory Hermes Agent, Claude Code, OpenCode, Codex, and Dify guides are below. <img src="h
| Stars | 1,162 |
| Forks | 116 |
| Language | TypeScript |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 62.1315408067956/100 |
| Open Issues | 83 |
| Last Updated | 2026-07-02 |
| Created | 2026-03-08 |
| Platforms | node |
| Est. Tokens | ~19k |
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mem9 is Unlimited memory for OpenClaw. It is categorized as a Codex Skill with 1.2k GitHub stars.
mem9 is primarily written in TypeScript.
You can find installation instructions and usage details in the mem9 GitHub repository at github.com/mem9-ai/mem9. The project has 1.2k stars and 116 forks, indicating an active community.
mem9 is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to mem9 on Agent Skills Hub include Claude-to-IM-skill, skillshare, learning-opportunities. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.