Peter Wang
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The better Ghostty, Superset, and tmux experience for Windows (and MacOS). Codirigent puts all your sessions in one persistent workspace. - Real-time status per agent - Custom layouts - Git worktree support - Session resume with same permission states. - System notifications like MacOS do - Copy and paste image directly to your session - and more! Built in Rust with GPUI, ~40MB memory, 22MB on disk. Open Source , GPL-3.0.
Codirigent
CodirigentSuperset, Ghostty and tmux coding workspace but for Windows
Peter Wangstarted a discussion

I built better Tmux for Windows (and MacOS)

I was previously using VSCode then switched to Zed with PowerShell. Although I have a Mac, my main working machine is Windows so I can never use tools like Ghostty, Tmux, etc. I decided to build my own terminal based IDE (or is it IDE?) in Rust, specifically designed for coding CLIs to work in parallel. My favorite features are: Custom layout: Define your layout and you can drag the header to...

Peter Wangstarted a discussion

How We Built a Solution Runs Long-Lived LLM Agents

Introduction Most cloud platforms—AWS, GCP, Azure—are optimized for stateless web apps or short-lived serverless functions. But deploying long-lived, stateful LLM agents is another beast entirely. You need durability, resilience, and observability. When we tried to push our own multi-agent AI system to production, we hit walls with all the complex infrastructure work that not only took hours...

Peter Wangstarted a discussion

Anyone else running into same problem deploying long-running AI agents?

I’ve been working on some AI projects recently — things like scheduled agents, API responders, and multi-agent systems that need to run continuously. One of the biggest headaches I’ve run into is deployment. Most cloud platforms (AWS, GCP, etc.) are built for stateless apps or short-lived functions. But for long-running, stateful agents, the kind that need to persist data, auto-recover from...