An operating system for teams of AI agents you own and run yourself.
brew tap agix-ai/agix
brew install agix-aosAI can answer your questions. What people actually strive for is to create — to build something they love that came out of their own head. Agix exists for that. Instead of renting a single assistant, you keep a hive: a governed team of specialist agents on infrastructure you control — advocates that want you to succeed, and adversarial enough to correct you when you're wrong.
Our mission: help people install an AI foundation they own and grow — not features they rent.
- You own it. Runs on your machine through the coding-agent CLI you already use — no API key required to start, no telemetry, nothing phones home. Your agents, your data, your knowledge never leave your control.
- It's governed. The hive works like bees do — a swarm of small foragers working a problem in parallel — but a governed swarm: the agent that does the work is never the agent that verifies it, and every action traces back to a person. A fleet you can actually trust with real work — not a black box.
- It compounds. What the hive learns lands in the Comb — a knowledge graph you own. What it learns on a Tuesday it still knows in March. An old hive knows more than a new one, and it can't be copied.
- One conductor. You talk to one agent; it fans the work out to the fleet and brings back what matters. One long conversation instead of nine parallel ones.
Agix is three efforts under one roof — an open core, a research lab that keeps it honest, and the implementation work that proves it in production:
| Agix AOS — the open core | A local agentic operating system and agent development kit: the agix CLI, a fleet of legible specialist agents, an intra-agent message bus, and the Comb. Apache-2.0. (Open-sourcing now — landing here as agix-aos.) |
| homebrew-agix — distribution | The official Homebrew tap. One brew install and the hive is on your machine. |
| The lab — research | A standing research operation that runs nightly: live comparative studies, reproducible benchmarks, and distillation experiments — the adversarial proving ground where we try to break our own system before you do. Studies publish here as they clear review, negative results included. |
| Agix — implementations | Agentic implementation work, for teams that want the foundation designed and built with them. The field work funds the open work — and what we learn there flows back into the OS. |
The hypothesis behind all of it: a governed, verified body of knowledge — continuously re-rendered onto the current generation of small models — holds a durable lead on your domain at a fraction of frontier cost. The corpus appreciates; any single model depreciates. And verification is the frontier: generation is commoditized, while knowing — cheaply, and with receipts — that agent work is right remains the hard, valuable problem. That's where we point our research, and we publish what we find either way.
Built on a foundation you own and grow — not features you rent.
Scale your AI organically.
agix-ai.io · Boulder, CO