No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by adoresever · Codex Skill · ★ 607
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🔒 Is graph-memory safe to install? View the security audit →
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.
| Stars | 607 |
| Forks | 89 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 71.8735103624874/100 |
| Open Issues | 16 |
| Last Updated | 2026-09-09 |
| Created | 2026-03-10 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~17k |
These tools work well together with graph-memory for enhanced workflows:
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graph-memory is Deepseek Harness、Openclaw知识图谱记忆插件。2026年4月受邀发布在清华大学讨论会。Knowledge Graph + Memory；Knowledge Graph Context Engine for OpenClaw — extracts structured triples from conversations, compresses context 75%, ena. It is categorized as a Codex Skill with 607 GitHub stars.
graph-memory is primarily written in TypeScript. It covers topics such as claude-code, codex, deepseek.
You can find installation instructions and usage details in the graph-memory GitHub repository at github.com/adoresever/graph-memory. The project has 607 stars and 89 forks, indicating an active community.
graph-memory is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to graph-memory on Agent Skills Hub include memsearch, modsearch, token-monitor. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: