by openmemind · Codex Skill · ★ 901
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
claude mcp add --transport http memind http://localhost:8366/mcpTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 901 |
| Forks | 94 |
| Language | Java |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 65/100 |
| Open Issues | 13 |
| Last Updated | 2026-08-13 |
| Created | 2026-03-19 |
| Platforms | java |
| Est. Tokens | ~23k |
Memind Memory that thinks. Context that evolves. The memory layer that lets AI systems learn from every conversation, tool call, document, and resolved task. Memind turns raw context into structured memory and reusable experience, continuously organizes it into memory graphs, threads, and evolving Insight Trees, then recalls the right context through REST, MCP, SDKs, and first-party plugins for...
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: