Forge is a local-first workflow engine that helps developers safely run and manage AI coding assistants. Instead of juggling multiple AI agents manually, Forge orchestrates them through a structured task lifecycle with built-in review gates and isolated workspaces. Each task gets its own git worktree, so AI agents can't interfere with each other. The system runs entirely on your local machine—no cloud accounts, no external services, no tracking. It supports popular AI coding tools like Claude Code, Codex, and Gemini, and provides multiple ways to interact: a web dashboard, command-line interface, or direct API connection. Tasks move through defined states (backlog, in progress, review, merging, done) with audit trails, and code changes can be blocked until CI checks pass. The project is MIT-licensed and in public beta.
How It Works
You hear about a tool that can run multiple AI coding assistants like Claude Code and Gemini while keeping everything organized on your own computer.
With one simple command, Forge is installed on your machine. No accounts, no cloud, no complicated setup—just download and go.
You tell Forge where Claude Code or your preferred AI assistant lives on your computer, and it automatically detects it.
You point Forge to your git repository and it creates a workspace where AI agents can work without stepping on each other.
Tasks move through a clear lifecycle: from 'todo' to 'in progress' to 'review' to 'done'. Each AI agent gets its own isolated workspace.
A visual kanban board where you drag tasks between columns and watch everything come together
Quick commands for power users who prefer typing
Your AI assistant talks to Forge directly, like plugging in a new tool
Before any AI-written code joins your project, it passes through review gates you define. Everything stays local on your machine—no cloud required.
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