Baton: Desktop app to manage multiple Claude Code agents

What it does

Baton is a desktop application that creates a unified interface for managing multiple Claude Code agents running in parallel. Users can spawn agents in isolated git worktrees, monitor their progress in a single window, switch between them without losing context, and review changes before committing. The tool supports over 13 different CLI-based coding agents including Claude Code, Codex CLI, OpenCode, and Gemini CLI.

Key capabilities include: launching new agents with custom prompts or dictation, viewing all agent statuses at once, previewing browser output tied to individual workspaces, editing files within the app using a Monaco editor, inspecting diffs, and arranging terminals in custom layouts.

Who it is for

The tool targets developers who routinely run multiple AI coding agents simultaneously across different projects. It addresses the workflow fragmentation that occurs when switching between terminal windows, IDE instances, and browser tabs. The typical user manages 4 or more active coding tasks and needs visibility into which agents are running, waiting for input, or finished.

Pricing

The site does not display prices. It states the desktop application is free for Mac, Windows, and Linux, with no account required.

How it stands out

Baton differentiates itself through purpose-built workspace isolation using git worktrees rather than wrapping existing tools. The interface consolidates agent monitoring, file editing, and diff review into one application, eliminating tab-switching. Network sandboxing using Lima VMs allows users to restrict which domains agents can access. The app includes built-in features like fuzzy file search, commit history browsing, reusable command templates, and per-project setup automation.

What a founder should check

A competitor should investigate: (1) whether Claude Code agents and other LLM coding tools will remain command-line accessible or shift to proprietary interfaces, potentially narrowing Baton's relevance; (2) how developers currently handle multi-agent workflows and whether existing IDE extensions or agent orchestration platforms already solve this problem adequately; and (3) whether the free pricing model sustains development long-term or if conversion to paid features is planned, which could affect user adoption if timing is poor.

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