by websitebutlers · MCP Server · ★ 210
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🔒 Is codefire-app safe to install? View the security audit →
CodeFire Persistent memory for AI coding agents A cross-platform companion app for Claude Code, Gemini CLI, Codex CLI, and OpenCode Website · Getting Started · Discord · Community · Download What is CodeFire? Your AI coding agent forgets everything between sessions. CodeFire fixes that. It auto-discovers your projects, tracks
| Stars | 210 |
| Forks | 32 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.9790736141111/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-18 |
| Created | 2026-02-22 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~2330k |
These tools work well together with codefire-app for enhanced workflows:
Looking for a codefire-app alternative? If you're comparing codefire-app 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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codefire-app is CodeFire gives AI coding tools persistent memory, task tracking, and project intelligence. A desktop companion for the AI-native workflow.. It is categorized as a MCP Server with 210 GitHub stars.
codefire-app is primarily written in TypeScript. It covers topics such as claude, claudecode, context-engineering.
You can find installation instructions and usage details in the codefire-app GitHub repository at github.com/websitebutlers/codefire-app. The project has 210 stars and 32 forks, indicating an active community.
codefire-app is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to codefire-app on Agent Skills Hub include xclaude-plugin, skillport, MCP-Bridge. 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: