Baton
Hi, I built this because running multiple Claude Code agents across multiple IDE and terminal windows was getting messy. Like many, I went from working at one thing at the time, to multiple, and it was all changing quite fast. I needed one place to see all my agents and worktrees, seamlessly switch between them, monitor their status and once their done, review their changes. I also wanted to quickly spin up new agents in isolated worktrees whenever an idea came to mind. I've been building Baton from within Baton for a while now, which has been a pretty fun loop. Would love to hear what you…
Baton launched on April 1, 2026 with 106 votes, #376 of 21,248 launches that month and more than 95% of that year's launches.
In plain words
Baton is a desktop application that centralizes management of multiple Claude Code agents running across different projects. It lets developers view all active agents and their associated worktrees in one interface, switch between them, monitor progress, and review completed changes. Users can quickly create new agents in isolated worktrees as needed. The tool consolidates what would otherwise require juggling multiple IDE and terminal windows, streamlining workflow for developers managing concurrent AI-assisted development tasks.
written from the facts on this page · September 2026
From the sources
Baton is a desktop app for developing with AI coding agents. Run multiple agents in parallel, each in their own git-isolated workspace. Works with Claude Code, Codex, OpenCode, and any terminal-based agent. Smart notification badges show you which agents need attention. Review diffs, browse files, search your codebase, and let agents spawn new agents through the built-in MCP server.
Spawn AI coding agents in isolated git branches and monitor them all at a glance. Get notified when agents need input. No tab-switching, no babysitting. Free for Mac, Windows, Linux.
Keep agent work visible, organized, and easy to manage. Launch agents in isolated git worktrees. Monitor every agent at a glance. Browse, edit, diff, ship. Run multiple coding agents at once. Isolated worktrees, visible progress. Review, edit, ship. Baton runs on desktop. Open this page on a Mac, Windows, or Linux machine to download. See which workspaces are running, waiting for input or finished without opening every terminal. Keep a browser preview tied to each workspace's dev server and branch. Switch workspaces, not browser tabs. Split panes, drag terminals into a layout that fits the task, and launch different CLI agents from presets whenever you need another pair of hands. Write or…from getbaton.dev
In the maker’s words, at launch
Hi, I built this because running multiple Claude Code agents across multiple IDE and terminal windows was getting messy. Like many, I went from working at one thing at the time, to multiple, and it was all changing quite fast. I needed one place to see all my agents and worktrees, seamlessly switch between them…
Does a similar job
all alternatives →
Claude Code Desktop App RedesignedApr 2026 · claude.com · ▲564Run parallel coding agents from one desktop workspace
BulletAug 2026 · codewithbullet.com · ▲240Hi HN, excited to be sharing this with you guys today. TL;DR: Bullet is a fast coding agent. At our company, we were burning hours waiting on agent runs. The models weren’t the problem. The agent loops around them were slow (unnecessary planning, oversized context, repeated searches, and serial tool calls). So we built Bullet as a passion project, the goal being to help you iterate faster, without giving up quality: - It automatically selects the model and reasoning level for each prompt. - It runs independent searches, reads, and commands in parallel. - It uses targeted code search instead…
AgentGridJul 2026 · agentgrid.sh · ▲77Hi HN, I’m Michael, I built AgentGrid with my friend Souren because we were tired of losing our coding sessions and couldn't keep track of what was actually being built across our many projects. Our approach was to use an infinite canvas desktop app for the TUIs we already know and love, mainly claude + codex. We drew inspiration from Figma and Railway. Overtime we added image nodes, notes, terminals, coding editors, source control, etc. I wasn't sure about it at first. It took me a month to give the first version Souren built a real try. What got me was an Apple System Update I've been…
Real-time dashboard for Claude Code agent teamsApr 2026 · github.com · ▲77This project (Agents Observe) started as an exploration into building automation harnesses around claude code. I needed a way to see exactly what teams of agents were doing in realtime and to filter and search their output. A few interesting learnings from building and using this: - Claude code hooks are blocking - performance degrades rapidly if you have a lot of plugins that use hooks - Hooks provide a lot more useful info than OTEL data - Claude's jsonl files provide the full picture - Lifecycle management of MCP processes started by plugins is a bit kludgy at best The biggest takeaway is…
20+ Claude Code agents coordinating on real work (open source)Feb 2026 · github.com · ▲53Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…
Aviator Agents2025 · aviator.co · ▲97When we asked developers from large engineering teams, almost everyone is using Claude Code, Cursor, or Copilot. But adoption is still inconsistent. Some of us would have 15 agents running in Claude Code at the same time; some would still refuse to use any of them and write code manually. There's a fragmented AI development problem: - Five developers building similar features, and all of them start from scratch - No way to share "here's how we prompt AI to follow our architecture" - No trail of how the AI changes were generated - People leave the company, so does the their knowledge Aviator…
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