Watchfire

Better context. Better code.

AI coding agents work best when they have the right context. Watchfire lets you define your project structure, break work into well-scoped tasks, and orchestrate agents that execute with full awareness of your codebase, constraints, and goals. It manages context automatically — so agents stay on track and produce code you'd actually ship.

Install

macOS

Homebrew (recommended):

Script:

Linux

Homebrew also works on Linux:

Windows

How It Works

Key Features

🎯 Context Management

Define your project once. Watchfire feeds agents the right specs, constraints, and codebase context — no copy-pasting prompts.

📋 Structured Workflow

Break big projects into tasks with clear specs. Agents tackle them in order, each in an isolated git worktree branch. Quick-add turns a bullet list into a batch of tasks in one go — GUI modal, TUI overlay, or watchfire task quick in your $EDITOR.

🚀 Scale with Confidence

Run agents across multiple projects in parallel. Monitor live terminal output, review results, and merge — from TUI or GUI. The GUI's integrated terminal spawns your login shell (configurable shell picker in Settings), so PATH matches your native terminal.

📱 Supervise from Anywhere

Pair a Telegram bot with your daemon and run Watchfire from your phone: check status, start tasks, watch the agent conversation live, and reply into a running session. Local-only by design — the daemon dials out via long polling, no public endpoint or tunnel needed.

Agent Modes

Supervise from Telegram

Watchfire ships a built-in Telegram bridge: pair your own bot with the daemon
and supervise every project from your phone. It uses long polling — the
daemon dials out to Telegram, so there's no public endpoint, tunnel, or
port forward, and only chats you…