Get AI coding support from anywhere with cc-connect, ideal for founders using local AI coding agents, backed by 12k+ GitHub stars
intermediate⏱ 30 minutes💵 Free
14,303 stars1,378 forksGoQuality 9/10Updated 7/23/2026100% free · open source
What it is
Connect your local AI coding agents to messaging platforms
What you can make with it
Automations like: get a daily summary of your GitHub commits on Slack without exposing your IP address
How it helps
This integration helps you control your AI coding agents from anywhere without exposing your IP address, making it more secure and convenient.
Real use case example
"A founder uses cc-connect to connect their local Codex agent to Slack, then automates sending daily updates on their project's progress without needing to expose their IP address."
If you're new
You should pick this up when you're just starting to explore what's possible with AI coding agents and want to keep your setup simple
If you're senior
Senior engineers will find this useful when they need to integrate multiple AI agents across different platforms in their existing infrastructure
Common confusion cleared up
Many users might assume cc-connect is just a messaging client, but it's actually a bridge that allows you to control your local AI agents from anywhere
Best inside these AI tools
Claude DesktopClaude CodeCodex CLIGemini
Pairs with
Claude APIStripe webhookNotion database
Why we list it on WorkflowStacks: cc-connect is included in the marketplace because it's a free and open-source solution that saves cost compared to paid alternatives
What it does
cc-connect bridges local AI coding agents to messaging platforms, allowing founders to chat with their AI dev assistant from anywhere without needing a public IP
Install / run
go get github.com/chenhg5/cc-connect
When to use it
•You want to access your local AI coding agent remotely
•You need to integrate your AI coding assistant with your team's messaging platform
•You prefer to keep your AI coding agent on a local machine for security or performance reasons
Quick start
1Run 'cc-connect -h' to see the list of available commands and options
2Create a configuration file (e.g., config.yml) to specify your AI coding agent and messaging platform
3Use the 'cc-connect init' command to initialize the configuration file with default values
4Edit the configuration file to set your API keys, agent addresses, and other settings as needed
5Run 'cc-connect start' to start the bridge and connect to your messaging platform
Heads up: Make sure you have the correct API keys and addresses for your AI coding agent and messaging platform, as specified in the README and configuration file
Saves to your device
What's inside — free to inspect
No purchase needed
Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.
16
top-level files
14
folders
100.1M
repo size
—
license
Key files
AGENTS.md
config.example.toml
README.md
README.zh-CN.md
skill-presets.json
File tree
.claude/
.github/
agent/
assets/
changelogs/
cmd/
config/
core/
daemon/
docs/
npm/
platform/
tests/
web/
.gitignore
.golangci.yml
AGENTS.md
CHANGELOG.md
CLAUDE.md
config.example.toml
CONTRIBUTING.md
embed.go
go.mod
go.sum
Quick Actions
Details
Creator
chenhg5
Language
Go
Category
automation
Published
2/28/2026
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