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TUICommander
AI-native IDE for multi-agent development
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.
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.
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.
On the analytics side, TUICommander competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how TUICommander performed against the three products that launched closest to it on the same day.
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.
For a complete overview of TUICommander including community comment highlights and product details, visit the product overview.
Stefano Straus