openclaw-memx

by NeoLi00 · Codex Skill · ★ 60

About openclaw-memx

openclaw自学习自维护记忆插件 Long-term OpenClaw memory plugin with self-learning, self-maintenance, and relationship graph recall.

agentagent-memoryembeddingsgraph-memorylong-term-memoryopenclaw

Quick Facts

Stars60
Forks0
LanguageTypeScript
CategoryCodex Skill
Quality Score34.75/100
Open Issues1
Last Updated2026-05-19
Created2026-05-08
Platformsnode
Est. Tokens~140k

Compatible Skills

These tools work well together with openclaw-memx for enhanced workflows:

  • openclaw-engram — semantic(0.52)+complementary+same_lang+similar_pop+shared_platform (63%)
  • remnic — semantic(0.48)+complementary+same_lang+similar_pop+shared_platform (62%)
  • Ori-Mnemos — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (60%)
  • MoltBrain — semantic(0.39)+complementary+same_lang+similar_pop+shared_platform (59%)

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Frequently Asked Questions

What is openclaw-memx?

openclaw-memx is openclaw自学习自维护记忆插件 Long-term OpenClaw memory plugin with self-learning, self-maintenance, and relationship graph recall.. It is categorized as a Codex Skill with 60 GitHub stars.

What programming language is openclaw-memx written in?

openclaw-memx is primarily written in TypeScript. It covers topics such as agent, agent-memory, embeddings.

How do I install or use openclaw-memx?

You can find installation instructions and usage details in the openclaw-memx GitHub repository at github.com/NeoLi00/openclaw-memx. The project has 60 stars and 0 forks, indicating an active community.

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