codexmate: Find, browse, and export conversations across AI coding tools

Last updated: 2026-11-02 · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install codexmate

brew install codexmate
npm install -g codexmate

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 71/100

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.

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.

ai-codingchat-historyclaude-codeclicodexcoding-assistantdeveloper-toolsgemini-clikilocodelocal-first

Quick Facts

Stars	355
Forks	35
Language	JavaScript
Category	MCP Server
License	Apache-2.0
Quality Score	71/100
Last Updated	2026-11-02
Created	2026-01-08
Platforms	browser, claude-code, cli, codex, gemini, mcp, node
Est. Tokens	~15k

About codexmate

Codex Mate One dashboard for all your local AI coding agents. Switch providers, manage sessions, and orchestrate tasks across Codex, Claude Code, OpenCode, and OpenClaw. Zero cloud, local-first control plane. [Documentation] [Quick Start] [简体中文] [![Stars](https://img.shields.io/github/stars/SakuraByteCore/codexmate?style=flat

codexmate alternative? Top 6 similar tools

Looking for a codexmate alternative? If you're comparing codexmate with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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How this security grade is produced

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:

View on GitHub → Browse MCP Server tools