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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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zhukunpenglinyutong/desktop-cc-gui has 4k+ stars and 400+ forks on GitHub, is written in TypeScript, and was last pushed on Oct 16, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 1 hour 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: 326 (+2)
GitHub issues: Enabled
Number of forks: 406
Total Stargazers: 4,484 (+1)
Total Subscribers: 12 (+0)

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Maintainer activity

2 people did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 11, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

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Issue Activity (beta)

Open issues: 317
New in 7 days: 7
Closed in 7 days: 0
Avg open age: 97 days
Stale 30+ days: 291
Stale 90+ days: 217

Recent activity

Opened in 7 days: 5
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

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

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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.