graph-memory — Codex Skill by adoresever

by adoresever · Codex Skill · ★ 421

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About graph-memory

graph-memory Knowledge Graph Context Engine for OpenClaw By adoresever · MIT License Installation · How it works · Configuration · 中文文档 What it does When conversations grow long, agents lose track of what happened. graph-memory solves three problems at once: Context explosion — 174 messages eat 95K tokens. graph-memory compresses to 24K by replacing raw history with structured knowledge graph nodes Cross-session amnesia — Yesterday's bugs, solved problems, all gone in a new session. graph-memory recalls relevant knowledge automatically via FTS5/vector search + graph traversal Skill islands — Self-improving agents record learnings as isolated markdown. graph-memory connects them: "installed libgl1" and "ImportError: libGL.so.1" are linked by a edge It feels like talking to an agent that learns from experience. Because it does.

agentclaude-codecodexgraphknowledge-graphmemoryopenclawopenclaw-pluginopencodesqlite

Quick Facts

Stars421
Forks60
LanguageTypeScript
CategoryCodex Skill
LicenseMIT
Quality Score60.516/100
Open Issues40
Last Updated2026-04-07
Created2026-03-10
Platformsclaude-code, codex, node
Est. Tokens~76k

Compatible Skills

These tools work well together with graph-memory for enhanced workflows:

  • Ori-Mnemos — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • openclaw-cross-market-arbitrage-agent — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
  • roadmap-skill — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)
  • MegaMemory — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (55%)
  • MemoryMesh — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (55%)

graph-memory alternative? Top 6 similar tools

Looking for a graph-memory alternative? If you're comparing graph-memory with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • memsearch by zilliztech · ⭐ 2.1k

    A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex), backed by Markdown and Mi

  • agentsys by agent-sh · ⭐ 830

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  • OpenContext by 0xranx · ⭐ 588

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  • memory-lancedb-pro by win4r · ⭐ 1.8k

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  • ai-devkit by codeaholicguy · ⭐ 1.4k

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  • awesome-llm-skills by Prat011 · ⭐ 1.1k

    A curated list of awesome LLM and AI Agent Skills, resources and tools for customising AI Agent workflows - th

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Frequently Asked Questions

What is graph-memory?

graph-memory is Openclaw记忆插件Knowledge Graph + Memory;Knowledge Graph Context Engine for OpenClaw — extracts structured triples from conversations, compresses context 75%, enables cross-session experience reuse. It is categorized as a Codex Skill with 421 GitHub stars.

What programming language is graph-memory written in?

graph-memory is primarily written in TypeScript. It covers topics such as agent, claude-code, codex.

How do I install or use graph-memory?

You can find installation instructions and usage details in the graph-memory GitHub repository at github.com/adoresever/graph-memory. The project has 421 stars and 60 forks, indicating an active community.

What license does graph-memory use?

graph-memory is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to graph-memory?

The top alternatives to graph-memory on Agent Skills Hub include memsearch, agentsys, OpenContext. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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