Original Summary

I've been experimenting with AI coding agents, but most of the demos I've seen are basically: prompt → generate code → done I wanted to see what happens when the agent gets an actual environment to work inside. So I set up Hermes Agent on an Ubuntu VM and gave it its own persistent workspace. The experiment started with a simple question: What can an AI agent actually do when it has a computer, terminal, files, tools, and a persistent workspace? I had Hermes inspect the VM, create its own workspace, generate a Python project, execute the code, update the documentation, and verify the result. One thing I found interesting was that Hermes didn't just generate files and stop. It could actually execute the project and check the result: Hello! This message was created and executed by Hermes Agent. Exit code: 0 I then pushed the experiment a little further and had it build a small CLI task manager with local JSON storage, including adding, listing, and completing tasks. Pasted text The main thing I learned wasn't that an AI can write Python. That's not particularly surprising anymore. The interesting part was the environment around the agent : Task ↓ Plan ↓ Tools ↓ Files ↓ Execution ↓ Verification I'm curious how other people are using AI agents with persistent environments. Do you give your coding agents their own VM/server/workspace, or do you keep them inside your local development environment? I documented the complete experiment here: https://medium.com/@techlatest.net/i-gave-hermes-its-own-linux-server-heres-what-happened-786f5058abde?sharedUserId=techlatest.net Would especially love feedback from people experimenting with autonomous coding agents.   submitted by   /u/techlatest_net [link]   [comments]

  • 情报分类：技术学习与提效
  • 分类依据：内容涉及技术、AI、软件工具或工程实践
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/10/6 23:50:49