Your next
breakthrough.

Use any AI model you want. Claude, GPT, Gemini, whatever’s best for the job.Works great on its own, and plugs right into Claude Code or Codex.

macOS & Linux coming soon
Scroll to break throughYour machine. Your key. Your move.

Which AI is the best?

Honestly, it isn’t one app, and it isn’t one AI company. Claude, GPT, Gemini and the rest are all powerful, and each is better at some things than others. That’s the beauty of it: try them, and find the ones that are best for you.

ChatDocumentsDesignCodeMediaCRMOne VectorBrain.

Made to work with you,
not instead of you.

It drafts, designs and builds as fast as you like. The ideas, the taste and the final say stay with you, and so does everything you make.

Pricing

Pay once.
Keep it for good.

No subscription, and every future update is included. The only other bill is the AI you use, on your own OpenRouter key.

The workspace

$25once

VectorBrain

Chat, documents, design and code.

  • Claude, GPT, Gemini, any model
  • Agents and crews you set up
  • Plugs into Claude Code and Codex
Get VectorBrain
For design

$25once

VectorBrain.Design

Graphic design tool.

  • Vector editing with real type
  • Tees, hoodies and totes in 3D
  • PNG, SVG, PDF, MP4 or GIF
Get VectorBrain.Design
Better together

$45$50once

Both apps

Your agents can design, and your designs can think.

  • Everything in VectorBrain
  • Everything in VectorBrain.Design
  • Save $5, paid once
Get both

FreeAnd VectorBrain Viewer is free. One folder for everything your AI makes, as thumbnails.

  • No subscription
  • No seats
  • No tiers
  • Updates included

Every future update included. Checkout isn’t open yet; the buttons show where the download stands.

No exporting. No attaching.
No starting over.

Writing, design and code are one conversation.

There is nothing to pick before you type. When the work needs design know-how, the code loop or the spreadsheet format, a playbook loads and stays for the rest of the conversation: you name it with a slash, or the app loads it from what you attach and ask. Every conversation already holds the project’s brief, with its notes on the index.

VectorBrain’s real interface, running on example data
A new conversation in VectorBrain, about the Harbor launch project. The middle column asks “What are we making today?” and says to type a slash to load design, code or sheet; the stage beside it already shows the project.
Just ask

From a thought to a finished thing.

Research, write, and work with real files. Turn a conversation into a document, with every version kept along the way.

/design

An idea deserves to be seen.

Pictures and pages on a live Canvas, in your project’s look. As many directions as you ask for, then the one you pick, built out.

/code

From “what if” to working code.

Search before reading, read before editing, then run the build. Running a program still asks you first, unless you turn the trust dial all the way up.

How one window does all three: the bus underneath

What it actually is

The AI is the engine.
VectorBrain is the harness.

A model on its own can only talk. A harness is everything around it that lets it do real work: your files, tools, memory, a browser, and the rules about what it’s allowed to touch.

VectorBrain is that harness, and it fits any engine. Swap Claude for GPT or Gemini, and everything else stays put.

Any engine.

Claude, GPT, Gemini, whatever comes out next. Pick one per conversation, on your own OpenRouter key.

A great companion.

Already in Claude Code or Codex? Connect them, and they get your Studio, your agents and your project search.

Fewer subscriptions.

Chat, documents, design, code, a Studio for images, video and sound, a CRM with invoices, and a browser. One app, $25 once. You only pay for the AI you actually use.

How one harness compares to a stack of AI tools

Panes

Six at once.
Each on its own model.

One conversation at a time is a perfectly respectable way to work. Or fold both drawers, tile six, and run six conversations on six jobs across six models at once. The window keeps up. Your OpenRouter balance is your own business.

Meet the ones doing the work
VectorBrain’s real interface in Panes, both drawers folded, running on example data
VectorBrain in Panes with both drawers folded: six conversations tiled three by two, each on its own model. Five say Finished and one is still Working with a Stop button; three carry the playbook they loaded, design, code and sheet.
What each one is running on
  • 1
    What slips if the press date moves

    google/gemini-2.5-proDeep

  • 2
    Three directions for the landing page

    anthropic/claude-sonnet-4.5Balanced

  • 3
    Pricing table breaks under 400px

    openai/gpt-5Careful

  • 4
    Launch budget against actuals

    moonshotai/kimi-k2-0905No thinking

  • 5
    Sweep copy/ for the old product name

    google/gemini-2.5-flashQuick

  • 6
    Launch email, second draft

    z-ai/glm-4.6Balanced

Any model your OpenRouter key reaches, picked per conversation.

A model belongs to the conversation.

Not to the app. Put the architecture on the deepest model you have and the file sweep on the fastest one. Changing either never moves the other.

The grid is your window, not a setting.

Panes counts what actually fits — four across on a wide monitor, fewer once the stage takes its room back. Nothing reshuffles on its own.

Go to the one that needs you.

Working, finished, or stopped to ask you something: every pane says so in its header. Answer that one without losing the other five.

Your key, any model, and what happens when one dies mid-answer

Agents & crews

More than an assistant.
A whole bench.

Six roles — director, researcher, writer, developer, designer, media. Each agent is somebody you made: its own model, its own narrowed set of tools, its own folder of notes to search. Nothing shipped pre-staffed.

A crew is not an org chart. It is a permission, in your signature, for one job: who the lead may hand work to, and what each of them was asked for. Anyone not named in it is refused by name.

VectorBrain’s real interface, running on example data — one crew at work, and the pinned shelf
The Team tab while a crew works: 3 members, $0.61 spent of at most $192.82. Ilse Moreau finished, read the web, saved one file; Noor Haddad is still working on the second section; Kit Oduya failed, the image model refused a prompt that named a real ferry operator, with Retry, Read the error and Drop it. A line says they cannot be talked to: ask the lead.

Sign it once, and it is staffed.

A crew is drafted, then signed — and nobody can be delegated to while it is still a draft. Once you sign, the lead starts handing work out on its first turn instead of asking you to approve the same four names for every client.

Only you write the shelf.

An agent’s folder can arrive in somebody else’s clone, so nothing in it gets to put itself one click from you. The command that writes the pins is refused to the agent by name, and a pin naming nobody is refused when you make it.

Kept as a file you can read.

A crew you keep is Markdown in your own folder, one file per crew. Rename an agent and it comes back under the new name; delete one and the row says so rather than quietly vanishing from a list you built.

Roles, skills, crews and pins, at length

VectorOxide

The web, opened.
Not scraped.

Most agents “browse” somewhere you cannot see and hand you back a wall of text you are invited to trust. VectorOxide is the other thing: a real browser pane — a native WebView2 surface the app places over the stage, measured and positioned by the pixel — holding one session you and the agent are both looking at.

It is the app’s own wordmark with one word changed, because it is the same window, not a bolted-on tab.

VectorOxide full screen inside VectorBrain, on its start screen: a new tab beside two open ones, the address bar with Find, Keep, Ask, Save, Capture, Taste and Full screen at its right, the VECTOROXIDE wordmark over the words Native Rust Browser, and twelve kept pages.
VectorOxide’s real start screen, running on example data. The kept pages are invented.

You type the address.

There is no search engine in here. https and the public web, and every move the page makes for itself — a link, a redirect, a script — is checked again before it loads. A site with no https fails to load rather than loading in the clear.

You sign in. The agent never does.

A fill aimed at a password field is refused at the door. An approval replays its stored input word for word, so a password inside an agent’s action would sit in your local database in plain text for as long as you took to decide. You type your own passwords. That is the design, not a gap.

Every click stops and asks.

A button can buy something, send something, or close somebody’s account, and nothing about having read the page answers that. So acting outward always waits, whatever your permission settings say — and only a person can lift it, for one session or as a standing grant the agent is refused the right to write.

Looking costs the turn its write access.

Read a page and that run is marked external. It can keep looking, keep thinking, keep summarising — and it cannot touch your files again until your next message. Read, then click: fine. Read, then quietly overwrite: not possible.

Up to twelve tabs, each a real webview on one shared profile, and every command means the tab in front — so what the agent reads is the page you are looking at. What is deliberately missing: no history surface, no downloads, no developer tools. Even the letters on those bookmark tiles are generated rather than fetched, so opening your own start screen tells nine sites nothing.

VectorOxide at length: what the agent reads, and what it may not do

The lineup

Better together.
Great on their own.

VectorBrain does the thinking. VectorBrain.Design makes it look good. Viewer keeps track of what your AI made.

Each one works without the others. The two paid apps are $25 each, once, with every future update included. Viewer is free.

VectorBrain’s real interface, running on example data: a conversation with a designer agent beside the Canvas it is working on.

VectorBrain

$25Once

Your AI workspace. Chat, documents, design and code, on any model you like.

  • Claude, GPT, Gemini and the rest, picked per conversation.
  • Agents and crews you set up yourself.
  • Plugs into Claude Code and Codex.

Windows. Download coming soon.

Placeholder

Screenshot of VectorBrain.Design

A real capture of the 3D mockup studio goes here.

VectorBrain.Design

$25Once

A design studio for logos, shirts, posters and social graphics.

  • Vector editing with real type: warps, text on a path, every font you have.
  • Put it on a tee, hoodie, tote or pillow in 3D, and export a turntable video.
  • Cut-outs done on your own computer. Export PNG, SVG, PDF, MP4 or GIF.

Windows. Coming soon.

Placeholder

Screenshot of VectorBrain Viewer

A real capture of the thumbnail grid goes here.

VectorBrain Viewer

FreeNo purchase

One folder for everything your AI makes, as thumbnails you can actually see.

  • Shows which tool made each file, Claude Code or Codex.
  • Start new work in Claude Code, Codex, VectorBrain or VS Code.
  • Search file names and the text inside them.

Windows. Free download coming soon.

Get both

VectorBrain + VectorBrain.Design

$45 instead of $50, paid once. Every future update included.

$45Pricing, all of it

Questions people ask
about AI agents.

What are AI agents, really?

An AI that doesn’t just answer, it does the work. Ask for a report and it researches, writes and saves the file. Here, an agent is someone you set up once: a name, a job, the model it runs on, and what it’s allowed to touch.

What is an AI harness?

Everything around an AI model that lets it do real work: the files it can read, the tools it can use, what it remembers, and the rules about what it’s allowed to touch. The model is the engine; the harness is the rest of the car. VectorBrain is a harness that works with any model.

What are some examples of AI agents?

The kind you’d set up: a researcher that checks a claim against the source, a writer that drafts the launch email, a designer that mocks up three directions for a landing page, a developer that fixes the bug. Put them in a crew and the lead hands out the work. Agents and crews, up close.

Can I build my own AI agents?

Yes, and no code. Name it, pick a role, write the job in your own words, choose a model and what it can use. It’s saved as a plain file on your computer. How building an agent works.

Does it work with Claude and OpenAI?

Yes. Run any agent on Claude, GPT, Gemini or anything else on OpenRouter, with your own key, and switch per conversation. Already in Claude Code or Codex? Connect them, and they can hand work to your agents. How the Claude Code and Codex hookup works.

Can I use AI agents at work without losing control?

That’s the point. They ask before anything that matters, every step is logged, and documents keep every version. A crew only runs once you’ve signed off on who does what and the most it can cost. How approvals work.

Is this an AI personal assistant?

Sort of, but one that lives on your computer and works on your actual files. It drafts, designs, codes and researches, and you still make the calls.

Does everything stay on my computer?

Your project files, knowledge library and history are stored locally. When you use a model, the prompt and the context it needs go to the provider you picked, through OpenRouter. There is no VectorBrain cloud holding your work. The long version is on Trust.

Do I need VectorBrain.Design too?

No. VectorBrain already designs pages and pictures on its Canvas. VectorBrain.Design is a full design studio for logos, shirts, posters and social graphics, with vector editing and 3D mockups. Each works on its own, and the two together are $45. What each one costs.

What do I need to get started?

A Windows computer, a project folder, and your own OpenRouter key for the AI features. Keyword search works without a key. The public download is still being prepared. What first run looks like.

Is it coming to Mac and Linux?

Yes. Windows is the current platform. macOS and Linux are coming soon; release dates have not been announced.

VectorBrain app icon

Make room for
what’s next.

Your next idea deserves a VectorBrain.

Windows editionPublic download in preparation

macOS & Linux coming soon