farion1231/cc-switch
⭐ 65,650 · Rust · GitHub Repo
A cross-platform desktop All-in-One assistant tool for Claude Code, Codex, OpenCode, openclaw & Gemini CLI.
ai-tools claude-code codex desktop-app hermes hermes-agent mcp minimax
1-Sentence Summary
A unified desktop hub to manage all your AI coding CLI tools, providers, and skills.
🔥 Key Capabilities & USP
- Unified Multi-Tool Dashboard: Stop context-switching between terminals for Claude Code, Codex, Gemini CLI, OpenCode, and OpenClaw. CC Switch provides a single graphical interface to launch, configure, and switch between all your AI coding assistants.
- Centralized Provider Management: Manage API relays and model providers (MiniMax, PackyCode, AIGoCode, etc.) from one place. This eliminates the tedious process of configuring provider keys and endpoints separately for each CLI tool.
- Skills Management & Deployment: Organize and deploy skills consistently across your entire AI tool ecosystem. No more manually copying skill definitions or forgetting which tool has which skill enabled.
- Cross-Platform with WSL Support: Built on Tauri 2, it delivers native performance on Windows, macOS, and Linux. The explicit WSL support is a game-changer for developers who live in the Windows + Linux subsystem workflow.
- Pre-Built Partner Integrations: Comes with pre-configured sponsors and partners offering trial credits and discounts, reducing friction for users exploring new model providers.
USP: CC Switch is the only tool that provides a graphical, cross-platform management layer specifically for the fragmented landscape of AI coding CLIs—turning five separate terminal workflows into one cohesive desktop experience.
Technical Architecture
| Layer | Technology | Role |
|---|---|---|
| Desktop Framework | Tauri 2 | Cross-platform native window, system tray, and OS integration |
| Frontend | TypeScript | Reactive UI for tool management, provider config, and skills dashboard |
| Backend | Rust | System-level operations, process management, file I/O for configs |
| Supported Tools | Claude Code, Codex, OpenCode, OpenClaw, Gemini CLI | The AI CLIs managed through the hub |
| Protocols | MCP (Model Context Protocol), Hermes | Underlying communication standards for tool interoperability |
The architecture follows a classic Tauri pattern: the Rust backend handles heavy lifting (launching CLIs, reading/writing config files, managing WSL bridges) while the TypeScript frontend delivers a responsive, familiar desktop UI.
Quick Start Guide
- Download the latest release for your platform from the GitHub Releases page.
- Install the application (standard installer for Windows/macOS/Linux).
- Launch CC Switch and connect your AI CLI tools:bash
# Ensure your AI CLIs (Claude Code, Codex, etc.) are installed and in PATH # CC Switch will auto-detect them on launch - Configure Providers: Add your API keys and endpoints for supported relay services through the graphical provider manager.
- Manage Skills: Import or create skills through the skills dashboard and assign them to specific tools.
- Start Coding: Launch any connected AI CLI directly from the CC Switch interface.
Pros, Cons & Use Cases
Pros
- Eliminates tool fragmentation: One interface to rule them all—no more remembering which terminal has which config.
- Native performance: Tauri 2 ensures the app is lightweight and responsive, unlike Electron-based alternatives.
- Active ecosystem: 65,650 stars and frequent releases indicate a vibrant, well-maintained project.
- WSL-first design: Rare and valuable for the large Windows developer community using Linux tools.
Cons
- Heavy reliance on third-party services: The provider management and partner integrations tie you to external API relays and sponsors.
- Marketing-heavy README: The project page prioritizes sponsor promotion over deep technical documentation, which may frustrate power users.
- No offline/self-hosted support: There is no mention of running local models or operating without internet connectivity.
Who should NOT use this?
- Developers who use only one AI CLI tool: If you exclusively use Claude Code or Codex, the management overhead isn't worth it.
- Privacy-sensitive teams: The reliance on third-party API relays and partner integrations may not meet strict data governance requirements.
- Offline-first workflows: Without self-hosted or local model support, this tool is not suitable for air-gapped environments.
Ideal Use Cases
- AI tool power users: Developers who regularly switch between Claude Code, Codex, and Gemini CLI for different tasks.
- Team onboarding: Standardize provider and skill configurations across a team by managing everything through CC Switch.
- Windows + WSL developers: Those who need seamless integration between Windows desktop and Linux-based AI CLIs.
- API relay explorers: Users who want to easily test different model providers without manual configuration per tool.
Community & Activity
With 65,650 stars, CC Switch has clearly struck a nerve in the AI developer community. The project is actively maintained, with the most recent update on May 10, 2026—indicating a healthy, ongoing development cadence. The broad topic coverage (MCP, Hermes, OMO, skills-management) suggests the project is tracking the cutting edge of the AI tooling ecosystem. This is a project with serious momentum, backed by a community that clearly values unified tool management. If you're tired of config file hopping, this is the kind of project worth betting on.