Computers with agent harness inside.
Hire a team of agent computers to handle your work — from shipping complex code to the routine tasks that fill your week.
An agent is a computer
A personal computer has the usual parts — a CPU, memory, a file system, a browser, a shell. It also has a monitor, a mouse, a keyboard: the peripherals that let a human drive it.
An agent computer has everything except the peripherals. In their place sits a harness — Claude Code, Gemini CLI, Codex. Not a language model. The harness is the interface, the way anything — or anyone — drives the machine.
That is the whole shift. The computer doesn't change. How we interact with it does.
The harness you're familiar with
You already use one every day. A prompt, a terminal, an editor — the habits are yours.
- Claude Code. Anthropic's coding agent.
- Gemini CLI. Google's coding agent.
- Codex. OpenAI's coding agent.
On Rebyte, the harness is the only way you touch the computer.
Multi-agent is multi-computer with network
One agent is one computer. Many agents are many computers — with a network between them.
Give each specialist its own computer — a researcher, a writer, a coder — and you get complete isolation. Rebyte builds the layer that lets them talk: a private network, shared file space, hand-offs on demand.
What you make
Not chatbots, not autocomplete — anything a computer can make. The list below is a sampler.
- Code and apps. Full repositories, pull requests, and deployed web applications.
- Slides and one-pagers. Editorial decks, real .pptx files, brand-consistent.
- Research reports. Deep research with citations, rendered as a polished PDF.
- Data analysis. Spreadsheets, charts, dashboards — with the data inspected, not hallucinated.
- Operations work. Production-log triage, SRE monitoring, schedule-driven tasks.
- Podcasts and media. Generated, narrated, mastered.
- Video editing. Cut, captioned, rendered.
- Scheduled tasks. Cron-driven agents that run on time.
For teams
A single agent computer is useful. A team of them, governed, is infrastructure. Model policies, network allow-lists, shared skill catalogs, audit trails — these are the things that let an organization trust what comes out.
Private skills are versioned, reviewed, and distributed the way engineering teams already distribute code. No shadow-IT pipelines.
Pricing
Agent computers on every plan. Paid plans add team features, storage, and the Agent Context connectors.
Start here
The smallest way to begin: open a computer, drive it with the harness you already have, do the work. No install. No setup. If you prefer the API, three lines of curl will spin one up.