Build your AI workforce,under contract.
We’re building the AI workforce — and giving it what a workforce needs: an identity, a contract, and a boss. Foxora is where you put it to work: every agent with a budget it can’t break, permission it has to ask for, and proof it has to show.
Give an agent a job and a spending limit. It does the work, stops to ask before anything risky, and can’t say “done” until it shows you the evidence.
Start them on a short leash. You decide when it gets longer.
No more prompt engineering.
The future is loop engineering.
Prompt engineering is babysitting — type, tweak, retype, repeat. Foxora flips it. Say what you want once, and it plans, runs, checks, and fixes itself on a loop — until the job's done.
One sentence in. A finished thing out.
Tell Foxora what you want. It writes a plan, splits the work across specialists who run at the same time, and a checker double-checks everything before it reaches you — nothing gets to call itself done until it hands over the evidence.
A specialist for every job — and any you invent.
Researchers, writers, designers, coders, fact-checkers — they show up the moment you install and put themselves to work. Need a role that doesn't exist yet? Describe it in a sentence and it joins the team.
- They work in parallel — research never blocks the build.
- Nothing reaches you before the checker signs off.
- Each specialist gets the level of AI its job deserves.
The crew hires itself.
Every job is a staffing decision. The crew picks the right agent for the role by track record, then the cheapest of 300+ frontier models that clears the job's bar — a designer gets a model that can actually see layout, a refactor gets one that can actually hold a codebase. You never pick a model again.
Running the floor is Foxy — Foxora’s own crew-workhorse SLM. Staffing, budgets, hand-offs and check-ins move through it under the GRIP protocol, so the frontier models spend their tokens on your work, not on managing each other.
In build · routing hardens through Q3 2026It remembers like a colleague, not a chatbot.
Tell it your preferences, your projects, your 'never on Fridays' — once. It keeps them for good, and it can always show you why it knows something, so you're never left guessing.
“Never launch anything on a Friday — always through the staging check first.”
Explain it once. Never repeat yourself again.
The app, the browser, the terminal — it's all one shared brain. Start something on your laptop and pick it up on the web without re-explaining a thing.
Got it — filed to memory. 3 facts kept
Done — written for indie designers, warm tone, May dates, no “AI-powered”. from Monday’s brief
Everyone sells autonomy. Ours has to earn it.
Every other tool asks you to trust it on day one, then leaves you to find out the hard way. We're making trust measurable instead. Today you set the ceiling yourself, and nothing runs above it. What we're building now is the part that lets a team earn its way up: every job graded against what actually happened, and a step up this ladder only when the numbers say so — 20 clean runs, 95% success, under 5% of them corrected by a human. Slip once and it drops back down. Those are the thresholds, and we'll publish how often we hit them.
It proposes. You do the work.
It finishes the job, then stops for your approval.
It works on its own and flags the exceptions.
It owns a whole job type. You read the weekly number.
It owns the outcome and directs other agents.
It already knows how to do your work.
'Launch my product.' 'Run my newsletter.' 'Clear my backlog.' Ninety-four ready-made playbooks for real work — or teach it your way once, and it repeats it perfectly every time.
On your desktop, your browser, your terminal.
The same team and the same memory wherever you work — a real Mac and Windows app, any browser, or a single command in your terminal.
The full app on your own computer — signed, notarized, auto-updating, and your files never have to leave it.
Everything, from any browser. Your crew keeps working after you close the lid — no setup at all.
Live in a shell? One command installs the Foxora CLI on macOS or Linux, and your crew comes with it — pipeable into anything. Windows takes one PowerShell line instead.
one account · one memory · pick up on any surface, mid-task
A workforce you can only reach from a desk isn’t one.
Say it before you park.
The brief is on the board before you’re through the door — spoken once, understood, staffed.
“…and get the deck to Sarah before nine, keep the spend under twenty.”
Forward it. It’s handled.
The client’s message becomes the intent. The crew answers in the same thread, with the work attached.
A bot with a budget.
Assign, approve, and read the receipt without leaving the chat — every action leased, none of them a surprise.
CC a colleague who finishes.
Mail it like anyone else on the team. What comes back is finished work, with the evidence attached.
It doesn’t just chat. It drives.
Real work happens in browsers, on desktops, and on machines that aren’t yours to risk. The crew has hands for all three.
Signs in, clicks through, fills forms, reads what it sees — the whole web is a tool, not a search box.
Drives the apps on the machine the way you would: files, windows, keyboards — with every action on the record.
Risky work runs on a disposable machine in the cloud — never on yours. Break the sandbox, not your laptop.
They work in your tools, not beside them.
Your inbox, calendar, CRM, docs, code, payments. A team that can't touch your real systems is a chatbot — ours signs in over MCP and 1,000+ plugins, does the work where the work lives, and leaves a trail you can follow.
ready-made plugins — connect any one in a single click, and your crew can use it right away
logins held by Composio, a dedicated connector-auth layer · never on our servers · revoke anytime
You hired them tonight. This is the morning.
Put a team on a schedule and it works straight through the night in the cloud — laptop shut, nobody watching. Everything it did is waiting for you, with a record of every step it took to get there.
you close the laptop
competitor report researched & written
inbox sorted · 3 replies drafted for you
that annoying bug found & fixed
you read one summary over coffee
you close the laptop
competitor report researched & written
inbox sorted · 3 replies drafted for you
that annoying bug found & fixed
you read one summary over coffee
No AI accounts. No API keys. No surprise bills.
The intelligence is built in — you pay in simple credits, like minutes on a phone plan. Behind the scenes, every request goes to exactly the right AI for the job. Nothing to wire up.
Autonomy never costs you control.
It runs on your own machine, nothing trains on your files, and every step is on the record — so the more they do, the more you can see.
The desktop app runs locally. Your files never have to leave — and nothing trains on them.
PKCE end to end — login tokens never travel in a link. One account everywhere.
Every action is logged and rewindable. You can replay any job, step by step, months later.
Signed, notarized builds from a public releases page. The install script pins a version, checks its SHA-256, and makes macOS verify the signature before anything installs — and you can read the whole script first.
Under it all: Foxora Studio.
foxora studio is where a workforce becomes auditable: the open engine where intents are contracts, authority is leased one action at a time, and work settles on recorded evidence — the GRIP protocol, running the same rules for a crew of two or a company of crews.
The desktop app runs on it out of the box. Teams that want the engine itself — self-hosted, inspected, extended — take it straight from the source.
We're building in the open.
Everything on this page is labelled: what ships today, what we're building right now, and where it's going. We'd rather tell you the truth about the road than sell you the map.
What ships today
- Crews of specialists, routed per role
- Cloud sandboxes for code, files and browsers
- Scheduled and triggered runs — laptop shut
- Work arriving by email and WhatsApp
- Desktop, web and terminal on one account
- 1,000+ tool integrations over MCP
What we’re building now
- Every job scored against what actually happened
- Teams promoted — and demoted — automatically
- One inbox: what ran, what needs you, what broke
- Success rates published per playbook, not per pitch
- Budgets, approval gates and a hard stop you control
Where it goes next
- Hire a support team. Then a finance team.
- Pay for outcomes, not seats — on every job we can measure
- A public track record. Every team, every failure.
- Autonomy Levels, published as an open standard
- Publish your own playbooks. Get paid when they perform.
dates move · the list doesn’t grow quietly · we publish what slipped
Start free. Pay only when the team earns it.
2,000 credits / month
- Vixen Crew
- Zenko Crew
- Memory included
- Web research
- Vision
- Voice agent
5,000 credits / month
- Vixen Crew
- Zenko Crew
- Memory included
- Web research
- Vision
- Voice agent
20,000 credits / month
- Vixen Crew
- Zenko Crew
- Kyubi Crew
- Memory included
- Web research
- Vision
Prices in USD. Annual plans show the monthly equivalent — billed once a year, twelve months for the price of ten. Credits arrive as one grant a month and are spent across the whole crew.
A credit is a usage unit, not stored money. One run spends more of them when the job is harder or the model is bigger — Settings → Account → Usage shows what each run actually cost. Bring your own API keys instead and that usage bills to your provider, not your credits.
Fair questions.
The ones people actually ask before handing real work to an AI team.
No. You talk to Foxora in plain words — “launch my site”, “sort my inbox”, “research my competitors” — and review what comes back. Builders get a full code studio inside; everyone else never has to see it.