xintaofei/codeg

Collaborative multi-agent AI coding workspace: aggregate sessions from Claude Code, Codex, OpenCode, Pi, Grok Build, etc. Desktop app, self-hosted server,...

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Summary Information

Updated 21 minutes ago
Added to GitGenius on September 19th, 2026
Created on February 9th, 2026
Open Issues & Pull Requests: 272 (+0)
GitHub issues: Enabled
Number of forks: 455
Total Stargazers: 3,594 (+1)
Total Subscribers: 10 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 10.3 hours
Mean response time: 3.3 days
90th percentile: 8.3 days
Tracked items: 424

Most active contributors

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How this project is maintained

About 17% of issues opened in the past year have never received a reply. 98% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 23% of tracked open issues have had no activity in three months. 70% of issues opened in the past year have been closed, leaving a working backlog. Three people close 90% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 158
New in 7 days: 31
Closed in 7 days: 20
Avg open age: 52 days
Stale 30+ days: 82
Stale 90+ days: 36

Recent activity

Opened in 7 days: 28
Closed in 7 days: 20
Comments in 7 days: 1
Events in 7 days: 18

Top labels

  • bug (2)
  • enhancement (1)

Detailed Description

Codeg is a multi-agent coding workspace that aggregates sessions from multiple AI coding agents into a single collaborative environment.

The tool solves the fragmentation problem of working with different AI coding agents by centralizing them in one searchable workspace where a main agent can delegate tasks to sub-agents of other types. It supports agents including Claude Code, Codex, OpenCode, Pi, Grok Build, and others, with fifteen agents built in and the ability to register additional ACP-compatible agents. Work can be organized on a to-do board where each task runs in its own branch unattended, awaiting review before integration.

Codeg suits developers who regularly use multiple AI coding agents and want to coordinate their work rather than switching between separate interfaces. The tool is particularly valuable for teams or individuals managing complex coding tasks that benefit from delegating to specialized agents. It runs flexibly as a desktop application, a self-hosted server, or a Docker container, with native iOS and Android clients for remote access.

The project shows consistent development activity with regular commits across its codebase. The maintainer actively responds to issues and pull requests, indicating ongoing engagement with the user community. Documentation is comprehensive and maintained alongside the code, suggesting a commitment to usability. The tool receives periodic updates that address both bug fixes and feature enhancements, demonstrating sustained investment in its stability and capabilities.