mem9

Q: What is mem9?

mem9 is Unlimited memory for OpenClaw. It is categorized as a Codex Skill with 1.2k GitHub stars.

Q: What programming language is mem9 written in?

mem9 is primarily written in TypeScript.

Q: How do I install or use mem9?

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.

Q: What license does mem9 use?

mem9 is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

by mem9-ai · Codex Skill · ★ 1.2k

About mem9

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

Quick Facts

Stars	1,163
Forks	116
Language	TypeScript
Category	Codex Skill
License	Apache-2.0
Quality Score	62.1315408067956/100
Open Issues	82
Last Updated	2026-07-08
Created	2026-03-08
Platforms	node
Est. Tokens	~19k

Compatible Skills

These tools work well together with mem9 for enhanced workflows:

memory-lancedb-pro — semantic(0.33)+complementary+same_lang+similar_pop+shared_platform (61%)
memory-lancedb-pro — semantic(0.33)+complementary+same_lang+similar_pop+shared_platform (56%)
openclaw-a2a-gateway — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)
memUBot — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (55%)
openclaw-supermemory — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (53%)

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Frequently Asked Questions

What is mem9?

mem9 is Unlimited memory for OpenClaw. It is categorized as a Codex Skill with 1.2k GitHub stars.

What programming language is mem9 written in?

mem9 is primarily written in TypeScript.

How do I install or use mem9?

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.

What license does mem9 use?

mem9 is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

View on GitHub → Browse Codex Skill tools