by 0xK3vin · MCP Server · ★ 709
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: MCP Database Tools · Knowledge Base & RAG
npm install -g megamemoryTaken 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 | 709 |
| Forks | 75 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70/100 |
| Open Issues | 4 |
| Last Updated | 2026-05-03 |
| Created | 2026-02-06 |
| Platforms | browser, claude-code, mcp, node |
| Est. Tokens | ~43k |
MegaMemory Persistent project knowledge graph for coding agents. An MCP server that lets your coding agent build and query a graph of concepts, architecture, and decisions — so it remembers across sessions. The LLM is the indexer. No AST parsing. No static analysis. Your agent reads code, writes concepts in its own words, and queries them before future tasks.
These tools work well together with MegaMemory for enhanced workflows:
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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: