# Codeg

## Docs

- [iLink](https://docs.codeg.app/chat-channels/ilink.md): Connect iLink (Weixin Work) to Codeg for agent notifications and session control using QR code authentication.
- [Lark](https://docs.codeg.app/chat-channels/lark.md): Connect a Lark (Feishu) app to Codeg for real-time agent notifications and session control using WebSocket and REST API.
- [Chat Channels](https://docs.codeg.app/chat-channels/overview.md): Connect Telegram, Lark, and iLink to your Codeg workspace to control AI agents and receive real-time notifications from any messaging app.
- [Telegram](https://docs.codeg.app/chat-channels/telegram.md): Control Codeg agents from Telegram using a bot you create with @BotFather.
- [MCP Servers](https://docs.codeg.app/configuration/mcp.md): Extend your AI agents with additional tools and data sources using Model Context Protocol servers.
- [Model Providers](https://docs.codeg.app/configuration/model-providers.md): Configure custom AI model API endpoints so your agents use specific models or self-hosted inference servers.
- [Skills](https://docs.codeg.app/configuration/skills.md): Give your AI agents persistent context, coding conventions, or custom personas using Markdown skill files.
- [Version Control](https://docs.codeg.app/configuration/version-control.md): Configure Git settings and add Git remote accounts for push, pull, and authentication from within Codeg.
- [Docker](https://docs.codeg.app/deployment/docker.md): Run Codeg in a Docker container for consistent, portable deployments — ideal for cloud hosting, shared team servers, or CI environments.
- [Standalone Server](https://docs.codeg.app/deployment/server.md): Run Codeg as a headless web server and access your coding workspace from any browser — no desktop environment required.
- [AI Agents](https://docs.codeg.app/features/agents.md): Connect and manage multiple local AI coding agents from a single workspace.
- [Conversations](https://docs.codeg.app/features/conversations.md): Browse, search, and review the full history of your local AI coding sessions.
- [Git Worktrees](https://docs.codeg.app/features/git-worktrees.md): Run multiple AI agents in parallel on the same repository using git worktrees, each on its own branch.
- [Project Boot](https://docs.codeg.app/features/project-boot.md): Visually scaffold new projects with a live preview — no CLI commands required.
- [Terminal](https://docs.codeg.app/features/terminal.md): Run shell commands directly in the workspace without switching to a separate terminal application.
- [Installation](https://docs.codeg.app/installation.md): Install Codeg as a desktop app, standalone server binary, or Docker container.
- [Introduction](https://docs.codeg.app/introduction.md): Codeg is an enterprise-grade multi-agent coding workspace that unifies local AI coding agents in a single interface accessible from any browser.
- [Quickstart](https://docs.codeg.app/quickstart.md): Install Codeg, open a project, connect an agent, and start coding in under five minutes.