zhukunpenglinyutong/desktop-cc-gui

Multi-engine AI coding desktop client (Tauri). Claude Code, Codex, Gemini, OpenCode, DeepSeek Harness and more in one GUI.

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Summary Information

Updated 54 minutes ago
Type:ApplicationCategory(s):AI Coding AgentsAI Agents & LLM Apps
Added to GitGenius on September 16th, 2026
Created on February 3rd, 2026
Open Issues & Pull Requests: 300 (+0)
GitHub issues: Enabled
Number of forks: 383
Total Stargazers: 4,262 (+0)
Total Subscribers: 11 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 3.5 hours
Mean response time: 2.9 days
90th percentile: 6.7 days
Tracked items: 422

Most active contributors

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How this project is maintained

About 18% of issues opened in the past year have never received a reply. 99% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "bug" is answered fastest, typically in about 4 hours, while "enhancement" waits about 5 days. 58% of tracked open issues have had no activity in three months. Only 42% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 297
New in 7 days: 11
Closed in 7 days: 6
Avg open age: 103 days
Stale 30+ days: 267
Stale 90+ days: 173

Recent activity

Opened in 7 days: 10
Closed in 7 days: 6
Comments in 7 days: 11
Events in 7 days: 32

Top labels

  • bug (15)
  • enhancement (12)
  • documentation (2)

Detailed Description

desktop-cc-gui is a desktop application that provides a unified interface for multiple AI coding assistants.

The tool solves the fragmentation problem of working with different AI coding engines by consolidating them into a single graphical client. Rather than switching between separate applications or web interfaces for Claude Code, Codex, Gemini, OpenCode, DeepSeek Harness, and other AI assistants, developers can access all of them through one desktop application built with Tauri, a lightweight framework for creating cross-platform desktop apps.

Developers should consider this tool if they regularly use multiple AI coding assistants and want to reduce context switching. It suits workflows where comparing suggestions across different models or leveraging each engine's strengths is valuable. The project is particularly relevant for those who prefer a native desktop experience over browser-based interfaces and want to manage multiple API keys and configurations in one place.

The project shows active development with regular commits addressing bug fixes and feature additions. The codebase demonstrates ongoing refinement of the user interface and integration points with various AI services. The maintainers are responsive to issues and incorporate user feedback into updates.