farion1231/cc-switch

A cross-platform desktop All-in-One assistant for Claude Code, Codex, OpenCode, OpenClaw, Grok Build & Hermes Agent. Only official website: ccswitch.io

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Summary Information

Updated 22 minutes ago
Added to GitGenius on December 7th, 2025
Created on August 4th, 2025
Open Issues & Pull Requests: 2,400 (+0)
Number of forks: 8,852
Total Stargazers: 129,164 (+5)
Total Subscribers: 240 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 10.9 hours
Mean response time: 7.8 days
90th percentile: 25.2 days
Tracked items: 3,935

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "question" is answered fastest, typically in about 5 hours, while "skills" waits about 3 days. Almost all tracked open issues have seen activity in the last three months. Only 11% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 1,584
New in 7 days: 140
Closed in 7 days: 23
Avg open age: 31 days
Stale 30+ days: 717
Stale 90+ days: 71

Recent activity

Opened in 7 days: 128
Closed in 7 days: 21
Comments in 7 days: 249
Events in 7 days: 453

Top labels

  • bug (1,778)
  • enhancement (997)
  • stale (643)
  • question (438)
  • proxy (81)
  • frontend (57)
  • backend (51)
  • skills (40)

Detailed Description

CC Switch is a cross-platform desktop application that manages multiple AI coding assistants including Claude Code, Codex, OpenCode, OpenClaw, Grok Build, and Hermes Agent.

The tool addresses the friction of working with multiple AI coding providers by centralizing configuration and switching between them. Rather than manually reconfiguring each tool when you want to change providers or models, CC Switch acts as a unified manager where you can configure credentials, select active providers, and switch between them from a single interface. It supports provider management and skills management across these different agentic tools.

The application suits developers who actively use multiple AI coding assistants and want to reduce context-switching overhead. It works as a desktop application built with Tauri and TypeScript, running on Windows, macOS, and Linux with WSL support. If you are committed to a single provider or prefer command-line workflows, this tool may add unnecessary overhead. The README does not compare it to alternative solutions.

The project shows strong adoption signals with nearly all open issues coming from external users rather than the core team. Maintainers respond to new issues and pull requests within a day. Work in the issue tracker centers on bug reports, enhancement requests, and user questions.