chenhg5/cc-connect

Bridge local AI coding agents (Claude Code, Cursor, Gemini CLI, Codex) to messaging platforms (Feishu/Lark, DingTalk, Slack, Telegram, Discord, LINE, WeChat...

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Summary Information

Updated 47 minutes ago
Added to GitGenius on September 1st, 2026
Created on February 28th, 2026
Open Issues & Pull Requests: 570 (+0)
GitHub issues: Enabled
Number of forks: 1,532
Total Stargazers: 15,407 (+0)
Total Subscribers: 35 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 5.8 hours
Mean response time: 5.0 days
90th percentile: 10.9 days
Tracked items: 658

Most active contributors

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Related repositories by overlapping contributors

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How this project is maintained

98% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "platform-feishu" is answered fastest, typically in about 2 hours, while "deferred" waits about 2 days. Three people close 82% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 242
New in 7 days: 13
Closed in 7 days: 5
Avg open age: 93 days
Stale 30+ days: 184
Stale 90+ days: 87

Recent activity

Opened in 7 days: 11
Closed in 7 days: 2
Comments in 7 days: 46
Events in 7 days: 113

Top labels

  • triaged (258)
  • bug (240)
  • enhancement (170)
  • P3 (134)
  • stale (126)
  • P2 (117)
  • deferred (110)
  • bug-confirmed (83)

Detailed Description

CC-Connect is a bridge that connects local AI coding agents to messaging platforms, enabling developers to chat with their AI assistant from anywhere without requiring a public IP address for most platforms.

The tool solves the problem of accessing local AI coding agents remotely by acting as a relay between agents like Claude Code, Cursor, Gemini CLI, and Codex running on a developer's machine and messaging platforms including Feishu, DingTalk, Slack, Telegram, Discord, LINE, and WeChat Work. It forwards conversations from these messaging platforms to the local agent and returns responses, eliminating the need to expose your development environment to the internet.

Developers should adopt this tool if they want to interact with their local AI coding assistant through their preferred chat application without setting up complex networking infrastructure. It suits teams already using enterprise messaging platforms like Feishu or DingTalk, as well as those preferring consumer platforms like Slack or Discord. The project is particularly valuable for developers who want to maintain a local development setup while gaining the convenience of remote access through familiar chat interfaces.

The project maintains a substantial user base, with almost all open issues coming from outside adopters rather than the core team. Maintainers respond to new issues and pull requests within a day. Work in the issue tracker centers on triaged items, bug fixes, and enhancement requests.