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 mtrnix · MCP Server · ★ 106
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is metronix-memory safe to install? View the security audit →
Metronix Memory Self-hosted AI agent memory — an MCP memory server with durable recall, hybrid RAG, and Neo4j graph context. Metronix is self-hosted memory infrastructure for AI agents: ingest files and SaaS knowledge, retrieve with dense + sparse + graph context, store durable facts and preferences per agent, and keep long-lived knowledge fresh as projects change. What you get Durable memory for every agent — facts, preferences, and pinned context with workspace and agent scoping Hybrid knowledge retrieval — dense + SPLADE sparse + Neo4j graph context, with source citations Self-hosted control — Docker Compose stack, bundled local models, optional external answer generation One integration surface — MCP memory server today; REST and OpenAI-compatible APIs when you need them Quick start Requirements: Docker with ≥6 GB RAM (8 GB recommended) and 15 GB free disk. bash One-liner (latest tagged release)
| Stars | 106 |
| Forks | 15 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 72.5952667574335/100 |
| Open Issues | 84 |
| Last Updated | 2026-10-02 |
| Created | 2026-02-11 |
| Platforms | mcp, python |
| Est. Tokens | ~15k |
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metronix-memory is Self-hosted AI agent memory — MCP memory server with durable recall for agents. It is categorized as a MCP Server with 106 GitHub stars.
metronix-memory is primarily written in Python. It covers topics such as agent-memory, ai-agents, llm.
You can find installation instructions and usage details in the metronix-memory GitHub repository at github.com/mtrnix/metronix-memory. The project has 106 stars and 15 forks, indicating an active community.
metronix-memory is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to metronix-memory on Agent Skills Hub include c4-genai-suite, sandboxed.sh, Context-Engine. 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: