https://github.com/xintaofei/codeg
A unified workspace for local AI coding agents (Claude Code, Codex, Gemini CLI, etc.) — desktop app, standalone server, or Docker. Conversation aggregation, git worktree workflows, MCP/Skills management, chat channel integration (Telegram, Lark), and integrated terminal, all accessible from any browser.
https://github.com/xintaofei/codeg
acp agent claude-code code-generation codex gemini-cli git openclaw opencode worktree
Last synced: 10 days ago
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A unified workspace for local AI coding agents (Claude Code, Codex, Gemini CLI, etc.) — desktop app, standalone server, or Docker. Conversation aggregation, git worktree workflows, MCP/Skills management, chat channel integration (Telegram, Lark), and integrated terminal, all accessible from any browser.
- Host: GitHub
- URL: https://github.com/xintaofei/codeg
- Owner: xintaofei
- License: apache-2.0
- Created: 2026-02-09T09:22:50.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2026-04-01T16:30:38.000Z (12 days ago)
- Last Synced: 2026-04-01T19:22:16.388Z (12 days ago)
- Topics: acp, agent, claude-code, code-generation, codex, gemini-cli, git, openclaw, opencode, worktree
- Language: TypeScript
- Homepage:
- Size: 10.4 MB
- Stars: 537
- Watchers: 5
- Forks: 44
- Open Issues: 19
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Agents: AGENTS.md
Awesome Lists containing this project
README
# Codeg
[](https://github.com/xintaofei/codeg/releases)
[](./LICENSE)
[](https://tauri.app/)
[](https://nextjs.org/)
[](./Dockerfile)
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Codeg (Code Generation) is an enterprise-grade multi-agent coding workspace.
It unifies local AI coding agents (Claude Code, Codex CLI, OpenCode, Gemini CLI,
OpenClaw, Cline, etc.) in a desktop app, standalone server, or Docker container — enabling
remote development from any browser — with conversation aggregation, parallel `git worktree`
development, MCP/Skills management, chat channel interactions (Telegram, Lark, iLink, etc.),
and integrated Git/file/terminal workflows.
## Communication Flow
## Main Interface
## Settings
| Agents | MCP | Skills | Version Control | Web Service |
| :---: | :---: | :---: | :---: | :---: |
|   |   |   |   |   |
## Highlights
- Unified multi-agent workspace in the same project
- Local conversation ingestion with structured rendering
- Parallel development with built-in `git worktree` flows
- **Project Boot** — visually scaffold new projects with live preview
- **Chat Channels** — connect Telegram, Lark (Feishu), iLink (Weixin) and more to your coding agents for real-time notifications, full session interaction, and remote task control
- MCP management (local scan + registry search/install)
- Skills management (global and project scope)
- Git remote account management (GitHub and other Git servers)
- Web service mode — access Codeg from any browser for remote work
- **Standalone server deployment** — run `codeg-server` on any Linux/macOS server, access via browser
- **Docker support** — `docker compose up` or `docker run`, with custom token, port, and volume mounts for data persistence and project directories
- Integrated engineering loop (file tree, diff, git changes, commit, terminal)
## Project Boot
Create new projects visually with a split-pane interface: configure on the left, preview in real time on the right.
### What it does
- **Visual Configuration** — pick style, color theme, icon library, font, border radius, and more from dropdowns; the preview iframe updates instantly
- **Live Preview** — see your chosen look & feel rendered in real time before creating anything
- **One-Click Scaffolding** — hit "Create Project" and the launcher runs `shadcn init` with your preset, framework template (Next.js / Vite / React Router / Astro / Laravel), and package manager of choice (pnpm / npm / yarn / bun)
- **Package Manager Detection** — automatically checks which package managers are installed and shows their versions
- **Seamless Integration** — the newly created project opens in Codeg's workspace right away
Currently supports **shadcn/ui** project scaffolding, with a tab-based design ready for more project types in the future.
## Chat Channels
Connect your favorite messaging apps — Telegram, Lark (Feishu), iLink (Weixin), and more — to your AI coding agents. Create tasks, send follow-up messages, approve permissions, resume sessions, and monitor activity — all from your chat app. Receive real-time agent responses with tool-call details, permission prompts, and completion summaries without ever opening a browser.
### Supported Channels
| Channel | Protocol | Status |
| --- | --- | --- |
| Telegram | Bot API (HTTP long-polling) | Built-in |
| Lark (Feishu) | WebSocket + REST API | Built-in |
| iLink (Weixin) | WebSocket + REST API | Built-in |
> More channels (Discord, Slack, DingTalk, etc.) are planned for future releases.
### Key Features
- **Session Interaction** — run full agent sessions from your chat app: `/folder` to pick a project, `/agent` to choose an agent, `/task ` to start a task, then send follow-up messages as plain text. `/resume` to continue a previous session, `/cancel` to abort, `/sessions` to list active sessions
- **Permission Control** — agents can request tool-execution permissions in-chat; respond with `/approve` (or `/approve always` for auto-approve) and `/deny` without switching context
- **Event Notifications** — agent turn completions, tool calls, and errors are pushed to all enabled channels in real time with rich formatting
- **Query Commands** — `/search `, `/today`, `/status`, `/help` for quick lookups; configurable command prefix
- **Daily Reports** — automated daily summary at a scheduled time, including conversation counts, agent-type breakdown, and project activity
- **Multi-Language** — message templates in 10 languages (English, Simplified/Traditional Chinese, Japanese, Korean, Spanish, German, French, Portuguese, Arabic)
- **Secure Credentials** — tokens stored in the OS keyring, never exposed in config files or logs
- **Rich Messages** — Markdown formatting for Telegram, card-based layout for Lark; plain-text fallback for all platforms
### Setup
1. Create a channel in **Settings → Chat Channels** (choose Telegram, Lark, or iLink)
2. Enter your bot token (Telegram), app credentials (Lark), or scan QR code to log in (iLink) — stored securely in the OS keyring
3. Configure event filters and optional daily report schedule
4. Connect — messages start flowing as agents emit events
## Supported Agents
| Agent | Environment Variable Path | macOS / Linux Default | Windows Default |
| --- | --- | --- | --- |
| Claude Code | `$CLAUDE_CONFIG_DIR/projects` | `~/.claude/projects` | `%USERPROFILE%\\.claude\\projects` |
| Codex CLI | `$CODEX_HOME/sessions` | `~/.codex/sessions` | `%USERPROFILE%\\.codex\\sessions` |
| OpenCode | `$XDG_DATA_HOME/opencode/opencode.db` | `~/.local/share/opencode/opencode.db` | `%USERPROFILE%\\.local\\share\\opencode\\opencode.db` |
| Gemini CLI | `$GEMINI_CLI_HOME/.gemini` | `~/.gemini` | `%USERPROFILE%\\.gemini` |
| OpenClaw | — | `~/.openclaw/agents` | `%USERPROFILE%\\.openclaw\\agents` |
| Cline | `$CLINE_DIR` | `~/.cline/data/tasks` | `%USERPROFILE%\\.cline\\data\\tasks` |
> Note: environment variables take precedence over fallback paths.
## Quick Start
### Requirements
- Node.js `>=22` (recommended)
- pnpm `>=10`
- Rust stable (2021 edition)
- Tauri 2 build dependencies (desktop mode only)
Linux (Debian/Ubuntu) example:
```bash
sudo apt-get update
sudo apt-get install -y \
libwebkit2gtk-4.1-dev \
libayatana-appindicator3-dev \
librsvg2-dev \
patchelf
```
### Development
```bash
pnpm install
# Frontend static export to out/
pnpm build
# Full desktop app (Tauri + Next.js)
pnpm tauri dev
# Frontend only
pnpm dev
# Desktop build
pnpm tauri build
# Standalone server (no Tauri/GUI required)
pnpm server:dev
# Build server release binary
pnpm server:build
# Lint
pnpm eslint .
# Rust checks (run in src-tauri/)
cargo check
cargo clippy
cargo build
```
### Server Deployment
Codeg can run as a standalone web server without a desktop environment.
#### Option 1: One-line install (Linux / macOS)
```bash
curl -fsSL https://raw.githubusercontent.com/xintaofei/codeg/main/install.sh | bash
```
Install a specific version or to a custom directory:
```bash
curl -fsSL https://raw.githubusercontent.com/xintaofei/codeg/main/install.sh | bash -s -- --version v0.5.2 --dir ~/.local/bin
```
Then run:
```bash
codeg-server
```
#### Option 2: One-line install (Windows PowerShell)
```powershell
irm https://raw.githubusercontent.com/xintaofei/codeg/main/install.ps1 | iex
```
Or install a specific version:
```powershell
.\install.ps1 -Version v0.5.2
```
#### Option 3: Download from GitHub Releases
Pre-built binaries (with bundled web assets) are available on the [Releases](https://github.com/xintaofei/codeg/releases) page:
| Platform | File |
| --- | --- |
| Linux x64 | `codeg-server-linux-x64.tar.gz` |
| Linux arm64 | `codeg-server-linux-arm64.tar.gz` |
| macOS x64 | `codeg-server-darwin-x64.tar.gz` |
| macOS arm64 | `codeg-server-darwin-arm64.tar.gz` |
| Windows x64 | `codeg-server-windows-x64.zip` |
```bash
# Example: download, extract, and run
tar xzf codeg-server-linux-x64.tar.gz
cd codeg-server-linux-x64
CODEG_STATIC_DIR=./web ./codeg-server
```
#### Option 4: Docker
```bash
# Using Docker Compose (recommended)
docker compose up -d
# Or run directly with Docker
docker run -d -p 3080:3080 -v codeg-data:/data ghcr.io/xintaofei/codeg:latest
# With custom token and project directory mounted
docker run -d -p 3080:3080 \
-v codeg-data:/data \
-v /path/to/projects:/projects \
-e CODEG_TOKEN=your-secret-token \
ghcr.io/xintaofei/codeg:latest
```
The Docker image uses a multi-stage build (Node.js + Rust → slim Debian runtime) and includes `git` and `ssh` for repository operations. Data is persisted in the `/data` volume. You can optionally mount project directories to access local repos from within the container.
#### Option 5: Build from source
```bash
pnpm install && pnpm build # build frontend
cd src-tauri
cargo build --release --bin codeg-server --no-default-features
CODEG_STATIC_DIR=../out ./target/release/codeg-server
```
#### Configuration
Environment variables:
| Variable | Default | Description |
| --- | --- | --- |
| `CODEG_PORT` | `3080` | HTTP port |
| `CODEG_HOST` | `0.0.0.0` | Bind address |
| `CODEG_TOKEN` | *(random)* | Auth token (printed to stderr on start) |
| `CODEG_DATA_DIR` | `~/.local/share/codeg` | SQLite database directory |
| `CODEG_STATIC_DIR` | `./web` or `./out` | Next.js static export directory |
## Architecture
```text
Next.js 16 (Static Export) + React 19
|
| invoke() (desktop) / fetch() + WebSocket (web)
v
┌─────────────────────────┐
│ Transport Abstraction │
│ (Tauri IPC or HTTP/WS) │
└─────────────────────────┘
|
v
┌─── Tauri Desktop ───┐ ┌─── codeg-server ───┐
│ Tauri 2 Commands │ │ Axum HTTP + WS │
│ (window management) │ │ (standalone mode) │
└──────────┬───────────┘ └──────────┬──────────┘
└──────────┬───────────────┘
v
Shared Rust Core
|- AppState
|- ACP Manager
|- Parsers (conversation ingestion)
|- Chat Channels
|- Git / File Tree / Terminal
|- MCP marketplace + config
|- SeaORM + SQLite
|
┌───────┼───────┐
v v v
Local Filesystem Git Chat Channels
/ Git Repos Repos (Telegram, Lark, iLink)
```
## Constraints
- Frontend uses static export (`output: "export"`)
- No Next.js dynamic routes (`[param]`); use query params instead
- Tauri command params: frontend `camelCase`, Rust `snake_case`
- TypeScript strict mode
## Privacy & Security
- Local-first by default for parsing, storage, and project operations
- Network access happens only on user-triggered actions
- System proxy support for enterprise environments
- Web service mode uses token-based authentication
## License
Apache-2.0. See `LICENSE`.