Claude Skill

adoresever/graph-memory

Graph Memory is an OpenClaw plugin that extracts structured triples from conversations, compresses context by 75%, and enables cross-session experience reuse via a knowledge graph engine.

Overview

Stars468
Forks69
LanguageTypeScript
Last pushed2026-04-07
Last synced2026-04-28
View on GitHub

Repository

Owneradoresever
Repositorygraph-memory
Full nameadoresever/graph-memory
Repo ID1,178,312,395

🚀 Install this Skill

openclaw install adoresever/graph-memory

Summary

Graph Memory is an OpenClaw memory plugin that extracts structured triples from conversations, compresses context by 75%, and enables cross-session experience reuse via a knowledge graph engine.

Chinese description

Openclaw记忆插件:知识图谱+记忆;OpenClaw知识图谱上下文引擎——从对话中提取结构化三元组,压缩75%上下文,支持跨会话经验复用

Key features

  • Extracts structured triples from conversations
  • Compresses context by 75% for efficiency
  • Enables cross-session experience reuse
  • Built on SQLite for lightweight storage
  • Integrates with OpenClaw plugin ecosystem

Use cases

  • Long-running AI agent conversations
  • Knowledge retention across chat sessions
  • Context compression for token-limited models
  • Building persistent memory for coding assistants

Topics

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Data from GitHub. Synced on 2026-04-28