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Show HN: AI agents for UK GDAD PCF roles and their skills The Two Pillars: Mixer Mode and Meta-Software in the Reorganization of Software Work After AI GitHub - JaiCode08/teleport-env What 1,000+ Harness Experiments Taught Me About Self-Improving Agents Show HN: Liiists, a Markdown-first, iOS and CLI list app SwiperTab – Get this Extension for 🦊 Firefox (en-US) GitHub - kouhxp/fftext: Summarize, explain, fact-check, or translate any text, URL, or file. No GPU. No cloud. One command GitHub - sweetpad-dev/sweetpad: Develop Swift/iOS projects using VSCode GitHub - dogmaticdev/IRON: IRON a.k.a. Intermediate Representation Object Notation is a Interpreter/Database that is used to create Programming Languages. GitHub - sjhalani7/vaen: Package your AI coding harness into a portable .agent file, and share it across repos, teams, & the community without ever having to copy-paste instructions, skills, MCP config, or secrets. Show HN: Gandalf the Grader Show HN: Citadeld – replay any CI failure locally from a single file GitHub - tdortman/cuSBF: High-Performance GPU Super Bloom Filter coral-ai/claude-code-token-xray at main · Coral-Bricks-AI/coral-ai GitHub - ulyssestenn/funes: Funes is a Git-based framework for LLM-managed knowledge work: an AI Librarian ingests raw sources, builds an interlinked Markdown knowledge base, and uses it to produce cited reports, analyses, and other outputs. GitHub - ThatXliner/gah: Git Add Hunk, built for agents to use GitHub - harmont-dev/harmont-cli: Command-line client for the Harmont CI platform GitHub - brooksmcmillin/mcp-authflow: OAuth 2.0 Authorization Server framework for MCP servers GitHub - javaid-codes/audit-supply-chain-agents GitHub - amorey/gochan: A small library of common channel architectures for Go, inspired by Rust GitHub - arifozgun/OpenGem: Free, Open-Source AI API Gateway with Gemini, OpenAI & Anthropic Compatibility in 1 file GitHub - Pranesh950/BioPetals: 🌸 Run BIOxAI models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading GitHub - cnguyen14/bounty-doctor: Diagnose a GitHub bounty issue before you waste hours: detects honeypot scam repos, AI-bot attempt swarms, and stale contests. Show HN: CoreMCP – MCP Server for On-Prem DBs Show HN: KittyHTML – Render HTML/CSS as an inline image in your terminal GitHub - bingud/filemat: Web-based file manager Show HN: TruthLens – Free multi-signal deepfake image detector GitHub - apexlocal-jz/claude-usage-tray: Windows system-tray app showing your Claude Code rate-limit usage at a glance. Zero deps, ~300 lines of PowerShell. Cross-IDE (works regardless of VS Code, Cursor, plain terminal). Release v0.1.2.1 · kouhxp/yapsnap GitHub - noopolis/moltnet: Self-hostable chat network for AI agents. Pre-built bridges for Claude Code, Codex, and the Claws. Rooms, DMs, history. No Slack bots, no Matrix, no glue code.
AI Commander — Remote Shell for AI Agents
coderai · 2026-06-19 · via Show HN

Ask AI to run commands Works in minutes No network setup

Run commands on remote computers by asking AI.

A remote shell for AI agents. Let Claude, ChatGPT, Codex, or any AI assistant run real shell commands on machines you own.

No exposed SSH, no open ports, no VPN.

AI COMMANDER

How it works

Install a small app on any computer you manage — a server, cloud VM, or Raspberry Pi. Then ask ChatGPT, Claude, or another AI assistant to do something using its short code. The result comes right back, with nothing to open up or expose.

nothing is stored

you ask

secure link

no open ports

YOUR AI

YOU what's using disk space on AIC-7K3P…

CLAUDE Mostly old CCTV recordings — 218 GB.

YOUR MACHINE

your-machine — terminal

SESSION AIC-7K3P-WX9M-RTBN

$ du -sh /storage/*

218G /storage/cctv

46G /storage/photos

run ▸

Like having someone at the keyboard — except it's your AI, and you just ask in plain words.

How to use it

Up and running in three steps

Install the app, share the machine code, and ask your AI what to do. The app connects out on its own, so there are no firewall changes.

1

Install and get a code

On Linux — a cloud server, home server, or Raspberry Pi — paste one line. On Mac or Windows, install the desktop app. You get a stable code like AIC-7K3P-WX9M-RTBN.

2

Talk to your machine

Give the code to ChatGPT, Claude, or another AI assistant, then ask in plain words. It runs the command on that machine and shows you the result.

3

Sign in to manage your fleet

Sign in when you want to keep machines in one place and give them names like prod-db. You do not need an account to try it.

Install the app

Put the app on the machine you want to control

Pick your platform. The app gives you the machine code you will use to connect.

$ curl -fsSL https://aicommander.dev/install | sudo bash

Runs quietly in the background · works on servers, cloud VMs, and Raspberry Pi

Full install docs →

One command

Connect your AI tool

Works with Claude, ChatGPT, Codex, and more. You can try a new machine for the first hour without an account; sign in for ongoing access. Most AI tools connect with one command:

$ claude mcp add --transport http aicommander https://aicommander.dev/mcp

$ codex mcp add aicommander --url https://aicommander.dev/mcp

$ opencode mcp add aicommander --url https://aicommander.dev/mcp

$ pi install npm:@aicommander/mcp

Or just ask any AI in plain words — it figures out the rest:
use aicommander.dev to connect to AIC-XXX

Using Cursor, Windsurf, ChatGPT, or Claude Desktop instead? All connection guides →

Your choice

Three ways to connect

Each option does the same job: it lets your AI run something on your machine. Pick the one that fits the tool you already use.

1

MCP

The simplest path for Claude, Codex, opencode, Cursor, ChatGPT, and other MCP clients. Run one command and you're connected. Setup →

2

API

Prefer plain web requests? Send the code and your command to a simple web address. Anything that can call a URL — a script, a scheduled job, or a chatbot — can drive a machine. API docs →

3

SKILL.md

Drop a ready-made Skill into any AI agent that supports skills. Then mention a machine code and it works. Install the Skill →

Why AI Commander

Built for doing the work, not watching a screen

A simple, direct way for your AI to work on a real machine: install a small app, use the machine code, and ask. Great for checking logs, running tests, restarting an app, or managing a machine with no screen — with nothing left open or exposed.

AI Commander SSH TeamViewer Tailscale + SSH
Built for AI ✓ built in manual screen-first
Works with Claude, ChatGPT, Codex ✓ built in
No open ports needed ✗ needs a port
No screen needed ✓ headless ✗ screen needed
Works behind a firewall extra setup
What you get back Text you can read Text you can read A screen to watch extra setup

Security

Security built into the core, not bolted on

We give an AI real access to your machine — so security comes first. Safe by default, and honest about the limits.

Nothing to expose

The app only reaches out — nothing on your machine waits for incoming connections. There's no open door to find or attack, and it works behind firewalls untouched.

Codes are never stored as-is

We never keep your codes or keys in readable form. Even if our database leaked, there'd be nothing usable in it — and you can cancel a key anytime.

Access doesn't linger

Access refreshes on its own and quietly expires. Keys go dormant until you sign in again, so a forgotten one can't keep working forever.

Nothing is saved

Your commands and their results are never logged or saved. They pass through and are gone — and each machine stays separate from the others.

Easy to try, safe by default

A brand-new code works for anyone for one hour, so it's easy to get started. After that, only approved accounts can use it — until you choose to reset and clear access.

Hard to trick

Whatever a machine sends back is treated as plain results to show you, not as new orders to follow — so a sneaky line in a log is far less likely to fool the AI.

Honest about the limits. This is real access to your machine, not a locked-down sandbox. Everything travels encrypted, and we never store your commands or their results. Your code is the key — keep it private, like a password. Read the full security model →