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 hermes-labs-ai · MCP Server · ★ 60
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is zer0dex safe to install? View the security audit →
zer0dex Give a long-running agent local recall without forcing every detail into its prompt: pairs a small, human-readable memory index with semantic retrieval from a local vector store. 0.1.0 is the first supported developer-preview line. The project remains Alpha: expect refinement, but migration notes will precede documented breaking changes during the 0.1.x line. See the compatibility policy. Who needs it is for agent and framework developers who: run agents locally and need memory to persist across sessions; want a compact index that people can inspect and edit; need semantic retrieval for details that do not fit in that index; and can add one local HTTP lookup before a model call. It is especially useful when a flat has become too large, while a vector store alone makes it hard to see wha
| Stars | 60 |
| Forks | 5 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 66.5915931508437/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-21 |
| Created | 2026-03-12 |
| Platforms | claude-code, cli, mcp, python |
| Est. Tokens | ~11k |
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zer0dex is A local dual-layer memory pattern for AI agents: a compact, human-readable markdown index paired with semantic retrieval from a local vector store, queried before each message. For cross-project recal. It is categorized as a MCP Server with 60 GitHub stars.
zer0dex is primarily written in Python. It covers topics such as agent-memory, ai-agents, ai-memory.
You can find installation instructions and usage details in the zer0dex GitHub repository at github.com/hermes-labs-ai/zer0dex. The project has 60 stars and 5 forks, indicating an active community.
zer0dex is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to zer0dex on Agent Skills Hub include yantrikdb, superlocalmemory, roampal-core. 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: