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A practical guide to AI image generation, from diffusion to agents

Hey everyone,Inspired by Herdr, I&#x27;ve built an agent multiplexer that I&#x27;ve been using as my daily driver for a few weeks now.I think I improved on the concept in a few ways, focusing on the ergonomics I always wished I had:I show you what the agents are up to, along with a running feed of their activity.
There&#x27;s also a simple shortcut (F1) to go to the next unread agent.I use multiple accounts, so I&#x27;ve added unified launcher for Codex&#x2F;Claude Code&#x2F;Pi.
Theres some careful ergonomics there: fast search and resume over sessions, inline usage tracking etc.Many small quality of life improvements to the terminal experience:
- Links can be copied with a click, so no need to drag-select over many lines
- cmd+v just pastes images (even on SSH)
- images have a thumbnail preview.
- Built-in CPU&#x2F;Memory&#x2F;GPU usage tracking, broken down by workspaceI assume you have access to cheap inference (Luna&#x2F;Haiku&#x2F;etc).
It just reuses the agents to organize things for you: what is this http link? what is this worktree about? what is each agent doing? 
It&#x27;s small but it made my environment feel more cozy.On a personal note, I&#x27;ve been on a frustrating sick leave for a while now.
I created Corgi to challenge myself, and see if I can go back.
The answer is more mixed than I had hoped, but I am happy with the result and thankful for the experience.I hope you like it! a few friends &amp; myself have been using it for a few weeks and it&#x27;s been pretty nice.
There&#x27;s still a lot to improve and some rough edges, so feedback would be greatly appreciated.Thank you :)

Show HN: Corgi, a helpful {agent, terminal} multiplexer

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