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 kunwar-shah · MCP Server · ★ 92
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claudex safe to install? View the security audit →
Featured in: Agent Memory
# Claudex Professional conversation viewer and analysis tool for Claude Code Category: Development Tools · Conversation Analysis · Usage Monitoring Claudex is a full-stack web application designed for developers, QA engineers, and researchers who need to inspect, search, and analyze Claude Code conversation histories. Built with React and Fastify, it provides enterprise-grade full-text search using SQLite FTS5, universal template support for all Claude Code versions, and comprehensive analytics dashboards. 📚 Documentation | 💬 [Discussions](https://github.com/kun
| Stars | 92 |
| Forks | 11 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67.9466945198282/100 |
| Last Updated | 2026-06-20 |
| Created | 2025-10-03 |
| Platforms | browser, claude-code, mcp, node |
| Est. Tokens | ~18k |
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claudex is MCP server with persistent memory + FTS5 search for Claude Code conversation history. Index your ~/.claude/projects/, expose 10 MCP tools, browse via web UI. MIT-licensed.. It is categorized as a MCP Server with 92 GitHub stars.
claudex is primarily written in JavaScript. It covers topics such as agent-memory, ai-agent, ai-memory.
You can find installation instructions and usage details in the claudex GitHub repository at github.com/kunwar-shah/claudex. The project has 92 stars and 11 forks, indicating an active community.
claudex is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claudex on Agent Skills Hub include Ori-Mnemos, claude-historian-mcp, claude-mem-lite. 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: