Analysis updated 2026-07-25
Set up a fresh Linux server as a remote AI coding workstation in one command.
Keep your AI API keys secure on the server using a local proxy.
Run AI coding agents that edit files but test code in isolated throwaway containers.
Control AI agents from your laptop through a browser-based panel.
| dimitrigilbert/devbox-install | 123satyajeet123/bitnet-server | adeilsonrbrito/cross-model-consult | |
|---|---|---|---|
| Stars | 0 | 0 | 0 |
| Language | Shell | Shell | Shell |
| Setup difficulty | moderate | easy | moderate |
| Complexity | 3/5 | 2/5 | 3/5 |
| Audience | ops devops | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires a blank Linux server (Debian, Ubuntu, or Fedora) and an API key from your AI provider passed as an environment variable.
{"i": 0, "repo": "DimitriGilbert/devbox-install", "stars": 0, "lang": "Shell", "ok": true, "char_count": 1850, "text": "This is a single bash script that turns a blank Linux server into a ready-to-use AI coding environment. The author wrote it after manually setting up the same software stack three times and making three different sets of mistakes. The script installs a set of command line AI agents, a local proxy that keeps your API keys on the server, and a web interface you can open from your laptop to control the agents.\n\nThe script always installs git, Docker, and Node.js. On top of that, it can install several AI agent programs (like codex and claude-code), a local proxy that holds your real API keys so they never leave the server, and a browser-based control panel called t3 that runs continuously. You can also install an always-on agent called hermes. Most of these extras are turned on by default, but you can turn any of them off with command line flags.\n\nThe agents edit files directly on the server, but things like installing dependencies or running tests happen inside temporary Docker containers. This keeps the server itself clean, since any harmful install scripts are trapped in a throwaway container. You run the script by pointing it at your API provider (passing your key as an environment variable so it does not end up in your shell history) and giving it a local network IP to expose the web interface on. Any secrets you do not provide are generated automatically and saved in a protected file.\n\nThe script is idempotent, meaning you can run it multiple times safely. It records each completed step, so re-running it skips what is already done. If a step breaks halfway through, you can fix the problem and re-run the script, and it will pick up where it left off. It supports Debian, Ubuntu, and Fedora, detecting which package manager to use on each. It includes an automated test suite that spins up temporary containers to verify the full setup works end to end.", "error": null}
A bash script that turns a blank Linux server into a ready-to-use AI coding environment with command-line agents, a secure API key proxy, and a browser-based control panel.
Mainly Shell. The stack also includes Shell, Docker, Node.js.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly ops devops.
This repo across BitVibe Labs
Verify against the repo before relying on details.