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 HiAi-gg · MCP Server · ★ 58
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is docsmint safe to install? View the security audit →
DocsMint A self-hosted AI-native knowledge workspace and installable PWA for people, applications, and AI agents. DocsMint stores documents in a structured JSON editor model first. Markdown is the convenient second format for editing, importing, and exporting content. Automatic chunking, 1024-dimensional embeddings, multilingual hybrid search, and GraphRAG make the same knowledge base useful to people, applications, and agents through the web application, REST API, TypeScript SDK, CLI, and MCP server. [, cross-encoder reranking, 13 MCP tools,
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docsmint is Open-source knowledge base for people and AI agents. Rich-text editing, hybrid search, GraphRAG, and MCP. Self-host with Docker or use DocsMint Cloud.. It is categorized as a MCP Server with 58 GitHub stars.
docsmint is primarily written in TypeScript. It covers topics such as ai-agents, docker, document-management.
You can find installation instructions and usage details in the docsmint GitHub repository at github.com/HiAi-gg/docsmint. The project has 58 stars and 3 forks, indicating an active community.
docsmint is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to docsmint on Agent Skills Hub include knowledge-rag, pad, codebase-context. 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.
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