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TUICommander

AI-native IDE for multi-agent development

Open Source
Developer Tools
Artificial Intelligence
GitHub
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Hunted byStefano StrausStefano Straus

Run parallel AI coding agents on isolated branches with full observability. Diffs, PRs, CI status, usage dashboards, one workspace, zero context loss. Auto-detects 11 agents (Claude Code, Codex, Aider, Gemini CLI, Amp, and more) with rate limit countdowns and question detection. Git worktree isolation per branch. MCP Proxy Hub. CI Auto-Heal. Built-in AI Chat (Ollama, Anthropic, OpenAI). Mobile PWA companion. Rust + SolidJS. ~80MB RAM. macOS, Linux, Windows. Apache 2.0.

Top comment

Hey Product Hunt! I started building this because I was running Claude Code on multiple branches daily and couldn’t keep track of them. What began as a multi-agent monitor has grown into an AI-native IDE, 24 releases, 613 changelog entries, shipped solo. The key insight: “AI-assisted” tools bolt features onto existing IDEs. TUICommander is AI-native, every panel, every feature, every interaction is designed around the assumption that you’re working with multiple agents simultaneously. The moments that shaped the product: 1. Git worktrees changed everything. Each branch gets a fully isolated filesystem. Run Claude Code on 5 branches, zero conflicts. 2. The MCP Proxy Hub. Instead of configuring each agent to connect to each MCP server individually, TUIC aggregates them. One connection, every tool, with circuit breakers and credential management. 3. AI Chat + autonomous AI Agent (13 tools, read screen, send input, edit files, search code with BM25, run commands). Multi-provider: Ollama local, Anthropic, OpenAI, OpenRouter. 4. The Claude Usage Dashboard. A native 52-week heatmap, rate limit bars, and per-project breakdown. It’s become the most-screenshotted feature. 5. Mobile companion. Start long-running agents, walk away from the desk, glance at your phone when a question banner appears. Already seeing strong adoption at Lansweeper, where many colleagues use it daily. Hundreds of features have been shaped directly by feedback from professional developers. Open source (Apache 2.0), ~80MB RAM, zero telemetry. I’d love your feedback on what agents you use and what workflow pain points you should tackle next.

Comment highlights

@stefano_straus one thing I didn’t mention before — and it’s actually a big deal for me — is the mobile workflow.

Through our internal VPN I can access TUICommander and keep Claude Code / Codex sessions running, even from my phone. That completely changes how I use it.

I usually do the planning and setup at my desk, spin up multiple agents… and then later (evening, couch mode 😄) I just supervise from mobile. Check status, answer questions, nudge things forward without reopening the laptop.

It’s not just “multi-agent” — it’s asynchronous, distributed work on your own time. That’s where the real productivity boost kicks in.

This is the thing I didn't know I was waiting for!

Running more than one coding agent in parallel today means juggling terminals, forgetting which branch is which, and missing a Y/n prompt that blocks progress for an hour.

Solving that with per-branch worktrees + a unified view of what every agent is doing is exactly the right abstraction. Upvoted and congrats on shipping 👏

"Amazing launch, @stefanostraus ! Having seen the evolution of TUICommander at Lansweeper, I can vouch for the boost in productivity it provides. As a Quality Engineer, I love the Git worktree isolation—it’s essential for maintaining clean testing environments while running multiple AI agents. The attention to detail is top-notch. Upvoted! 🚀"

I’ve been using TUICommander with both Claude Code and Codex, and honestly it solves a very real problem: keeping multiple AI coding sessions under control without losing context.

The biggest value for me is being able to run parallel sessions, switch between branches/worktrees, and still have a clear view of what each agent is doing. Once you start using Claude Code and Codex together, a normal terminal setup quickly becomes messy. TUICommander makes that workflow feel organized instead of chaotic.

Great tool, especially if you are seriously using AI agents for development rather than just trying them casually.

I started using TUICommander weeks ago and it has been a game changer.

Tired of losing track of what I was working on across so many tabs in the terminal, drowning in the branch and project mess, I started using other tools like suppacode to help me improve my performance. Even if it helped, they were missing something.

TUICommander hit the spot. I can have everything I need in a single tool. Github? Check. VS Code? Check. Terminals? Check. Proper management of projects, branches and worktrees? Check.

What made it shine even more, were the extra tools it offered me. Markdown lists so I can have quick access to my plans or .md files. The ideas feature allowing me to queue thousands of thoughts while AI is working on my latest prompt.

When you start using it, it's great. When you start using every tool it offers you, it's amazing.

About TUICommander on Product Hunt

AI-native IDE for multi-agent development

TUICommander was submitted on Product Hunt and earned 8 upvotes and 11 comments, placing #42 on the daily leaderboard. Run parallel AI coding agents on isolated branches with full observability. Diffs, PRs, CI status, usage dashboards, one workspace, zero context loss. Auto-detects 11 agents (Claude Code, Codex, Aider, Gemini CLI, Amp, and more) with rate limit countdowns and question detection. Git worktree isolation per branch. MCP Proxy Hub. CI Auto-Heal. Built-in AI Chat (Ollama, Anthropic, OpenAI). Mobile PWA companion. Rust + SolidJS. ~80MB RAM. macOS, Linux, Windows. Apache 2.0.

TUICommander was featured in Open Source (68.4k followers), Developer Tools (511.7k followers), Artificial Intelligence (467.3k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 188.3k products, making this a competitive space to launch in.

Who hunted TUICommander?

TUICommander was hunted by Stefano Straus. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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