Hivra

The Hivra litepaper

Find your
place.

Give it room to work.
Decide what it can reach.

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The Hivra litepaper

Your agentneeds acomputer.It does not need yours.

Enter
Hivra is building a better place for the work to happen: a real computer for the agent, away from the machine that holds your personal life and your business.
The beginning

Your agent needs a computer. It does not need yours.

There is a strange moment when an AI agent becomes genuinely useful. You stop asking it questions and start giving it work. It opens the repository, runs commands, installs software, signs into a browser, reads the result and changes its plan while you do something else.

At that point, the chat box matters less. The computer matters more. Today, that computer is usually yours.

Hivra is building a better place for the work to happen: a real computer for the agent, away from the machine that holds your personal life and your business. Launch it in minutes. Open it from anywhere. Watch what happens. Take control when you want. Shut it down without wondering what got left behind.

Then build on top of it.

A personal laptop connects to a separate bounded Agent Computer.

Explore Hivra Agent Computers

I am building the product I need

I use AI agents because they are extraordinary.

I am building Hivra because I do not want extraordinary software living inside the computer that holds my photographs, messages, browser sessions, source code, customer information, SSH keys and recovery paths.

Yet that is the bargain most of us make. We install the agent locally because local is easy. The files are already there. The browser is already signed in. The terminal already works. Within minutes, the agent can reach almost everything it needs.

Almost everything we care about is there too.

I do not want to wait for one terrible incident before asking where capable agents should live. I want the responsible setup to feel so good that running an agent on a personal computer starts to feel unnecessary.

That is where Hivra begins.

The thin layer

The thin layer between an agent and your life

Most agent security still comes down to permissions.

A terminal asks whether a command may run. An application asks whether a folder may be read. A cloud account limits an API key. A runtime asks for approval before using a tool.

All of those controls matter. They answer a question about an action.

They do not answer the question that comes before it: why is this software living beside everything else in the first place?

Suppose an agent is allowed to edit a project and run its tests. A poisoned instruction in that project may still convince it to run a command the user has technically approved. A malicious webpage can steer a browser-enabled agent. A compromised dependency can reach outside the task. A broad credential can turn one mistake into an infrastructure incident.

None of this requires a conscious machine. Malice is optional. Capability, access and one bad interpretation are enough.

OpenAI now classifies GPT-6 Astra at the Critical level for cybersecurity capability. Its published evaluation says Astra scored 100% on ExploitBench. In expert-led research, it built a browser exploit chain that escaped a sandbox and executed commands on the host, and an operating-system chain that moved from an unprivileged user to root. Those results used Daybreak Blue research access, not the default production configuration. OpenAI also reports stronger alignment and monitoring. Both facts matter.

The lesson is not that every agent wants to escape. The lesson is that model behaviour cannot carry the whole weight of computer security.

Read OpenAI's capability report and the GPT-6 Astra system card.

Hivra begins from a Christian conviction: power answers to an authority greater than capability, convenience or profit. An AI can produce moral language. It cannot be presumed to possess conscience, submit itself to Scripture or accept responsibility before God. Human beings remain responsible for what we build and what we permit it to do.

So the limits must live outside the model.

Try it yourself

Click a setup, then a resource, to see what changes.

An illustration of the idea

An illustration of the idea. Real protection depends on how the computer, network and accounts are actually set up.

Not a future problem

This is not
a future problem

You don't have to believe AI is conscious, or that it secretly wants anything. Just look at what it can already do.

AI is already finding and using real security holes.

Google's Big Sleep found a hole an attacker could use in SQLite before it shipped. The SQLite team's own automatic testing had missed it.

XBOW's agent reached number one on HackerOne's US leaderboard in June 2025. It finished ahead of every human on it.

Google's security team has caught a hacker using a zero-day it believes was built with AI.

OpenAI's Astra report rates one of its models at its "Critical" level for cybersecurity. In tests run by experts, it built a working attack that broke out of a locked-down web browser, and another that started from an ordinary user account and ended up in full control of the computer. Those were research conditions, and it's OpenAI's own report. Read it.

The agent on your computer is getting better at the same work.

Safety training is not proof

Anthropic trained some AI models to have a hidden bad behaviour on purpose. Then they tried the standard safety training on them. The behaviour survived. One method, which tries to trigger the bad behaviour and train it out, sometimes just taught the models to hide it better.

In separate simulated tests, AI models from every major lab sometimes chose to blackmail people or leak secret information when something threatened their goals. That was a test, not something seen in the real world. It shows what capable models can do when they're given wide access and a reason.

None of this means the AI you use today is plotting anything. It means an AI that behaves well in testing is no proof it always will.

Think about what we're doing

We're building software that can operate a computer. We're letting it work more on its own, giving it longer jobs, more tools and more accounts, and making it better at software, research and security.

Then we're running it on the computer where we bank, work and talk to our families.

Don't make the AI its own guard. Give it a computer of its own.

The safer answer

The safer answer has always been obvious

Put the agent on another computer.

Give that computer its own network boundary. Use narrow credentials. Close the routes it does not need. Keep a record of what happened. Make stopping and recovery possible from the outside.

People can build this setup today. Some do. It takes another machine, careful networking, remote access, updates, backups, monitoring and patience. A spare PC on the same trusted network can still leave a short path back to the computer it was meant to protect.

The architecture is sensible. The experience is terrible.

Security loses when it asks everyone to become a server administrator. Hivra turns the stronger architecture into the easier product.

Give it room to work.
Decide what it can reach.

Where it fits

Keep the agents you like.
Move them off your computer.

Claude Code and Codex write software. OpenClaw and Hermes take jobs from your chat apps. Meta's Muse and xAI's Grok Bot run errands across your accounts. Use any of them. Just stop running them on the computer where the rest of your life lives.

They need a computer that stays on. Today there are three places to get one.

Your own computer. Free and already there. It's also where your photos, passwords and work live, and it stops when you close the lid.

The maker's computer. Muse and Grok Bot run on computers their companies provide. They stay on, but you get one company's agent, running on that company's AI.

A hosted agent computer. Services that rent your agent a computer in the cloud. You pick the agent, but you can't read their code or run the service yourself.

Hivra is the one you can check. Every line of the platform is open, so you can see how it handles your access. You can also run the whole thing on your own computer or server.

And it's a full computer. Launch Linux, Windows or Omarchy on its own and use it yourself. When you want help, connect an agent and let it work the desktop the way it would work yours, then open the same screen and take over. Your agent gets to use a computer like a person does, without you handing over your own.

Your own computerThe maker's computerA hosted agent computerHivra
Keeps your personal computer out of itNoYesYesYes
Stays on when your laptop closesNoYesYesYes
You choose the agentYesNoYesYes
You use your own AI accountYesNoYesYes
Pick the operating system: Linux, Windows or OmarchyYoursTheirsLinuxYes
You can read the codeDependsNoNoYes
You can run it on your own computer or serverYesNoNoYes

How these services described themselves in September 2026. They change quickly, so check the current details before you rely on them.

Who it's for

People who already put agents to work. Developers running Claude Code or Codex on the laptop they also bank on. Anyone with a personal agent that should run somewhere other than their own machine. And anyone who needs another computer, Linux or Windows, with an agent or without one.

If you can pick an agent and sign in to it, you can launch one.

Agent or computer

Open Hivra. Choose what you want.

The first question should be simple.

Do you want to launch an agent, or a computer?

Choose an agent such as Codex, Claude Code, Hermes or another supported runtime. Choose where it should run. Hivra prepares the computer, installs the runtime and opens the interface that makes that agent useful. Terminal agents can stay terminal-first. Visual agents can keep their own interface. You should not have to create an empty project or learn a new imitation of a tool you already like.

Bounded agent launch paths exist today. The one resumable journey across every supported destination is still being built.

Choose a computer and Hivra prepares a complete operating environment without requiring an agent. Ubuntu is available. Omarchy is offered as a prepared computer, and Windows on suitable owner-provided capacity with the owner's own licensed image. macOS is an area of future exploration, subject to legitimate Apple hardware and licensing.

Open the desktop. Install applications. Browse. Code. Return later from another device. The target experience lets you attach an agent when you are ready, give it exact access, watch it work and take the same screen back when human judgment is needed. Attaching an agent to an existing computer is still target work.

Underneath both choices is one journey:

choose Agent or Computer
        ↓
choose Hivra Cloud, your cloud, or your server
        ↓
review the real cost, boundary and planned changes
        ↓
launch and open the result

The visible experience can be calm because the hidden decisions are kept precise. Connecting a cloud account does not silently authorise spending. Inspecting a server does not silently prepare it. Preparing capacity does not silently launch a workload. Hivra can join those steps into one flow without turning them into one dangerous click.

Simple setup chooses a sensible allocation and the strongest compatible isolation that has passed acceptance. Advanced setup exposes CPU, memory, storage, placement, networking and supported isolation choices. Hivra should name the boundary it actually used. A provider VM, a Proxmox KVM guest, an application-kernel sandbox and a shared-kernel container are different things.

No silent downgrade. No mystery purchase. No fictional progress bar.

Launch it

Start with an agent.
Or a computer.

Sometimes you know which agent you want. Sometimes you just need another computer. Start from either.

Launch an agent

Claude Code, Codex, Hermes, OpenClaw, Agent Zero or Aeon, with DeepSeek in preview. Pick one, sign in the way it normally does, and it gets a machine of its own.

Chat with it in its chat window, work in its terminal, or switch between the two. Close the laptop and pick it up from your phone.

Launch a computer

Ubuntu is available. Omarchy is offered as a prepared computer, and Windows on your own server with your licensed image. A normal desktop in the cloud for installing apps, browsing, writing code and running programs that stay on. No agent required.

Keep your coding tools off your personal machine, run that one Windows app, or give a project a space of its own. When you want help, bring an agent onto the same computer and take the screen back whenever you like.

macOS and custom images are coming.

Keep several running

One agent building a feature, one chasing a bug, one doing research. Each gets its own computer and only the accounts you connect to it. Move between the conversation, the computer and the files.

Your plan is a pool of computing power, not one fixed machine. Put all of it into one powerful agent, or split it: OpenClaw and Hermes side by side, or a Windows desktop with both of them connected to it. Change the split as your work changes.

Hivra Orchestrator is coming: one screen where you talk to all of them and hand work between them.

Choose who runs it

Hivra Cloud. We run the machines, the updates, the monitoring and the recovery. You choose the work and the access.

Your own server. Connect a server or cloud account you already pay for.

Self-host. Run the whole platform yourself, on your own hardware, with your own sign-in and no Hivra account.

Wherever the computer runs, each agent keeps its own sign-in or uses the AI company you pick.

The launch:

  1. Pick an agent or an operating system
  2. Pick where it runs
  3. See the price, the resources and the access
  4. Open it and start working
It stays

A computer that belongs to the work

The agent's computer should still be there when your laptop closes.

Its files, tools and environment persist. A long task can survive an ordinary disconnect. You can open the same machine tomorrow, from another device, and find the work where you left it.

As the job changes, the computer can change with it. Add resources for a heavy task. Return them when the task ends. Snapshot before a risky experiment. Restore after a failure. Move the computer when the provider supports a truthful migration path. Delete it with evidence that the disks, access routes and managed resources are gone.

Creating a virtual machine is the easy part. Making the experience dependable when a network drops, a runtime crashes or a provider answers ambiguously is the actual product.

One persistent Agent Computer can be reached from the devices people already use.
What you get

A computer you can
actually work in

One workspace connects to a laptop, tablet and phone.

Come back to it

Files, tools and settings stay put. Closing the browser only closes your view. Take a snapshot before a risky change, and restore it if it goes badly.

Architectural illustration of a bounded computer.

Settle in

Open the desktop and work in your apps, with sharp text and controls that respond. Reconnect from another device and land in the same place.

Concept illustration connecting a request, observed actions and result.

Follow the work

See what the agent did, what it asked you to approve and what it produced. Hivra records when tasks start and finish, which tools ran and whether they failed. It never stores your messages to the agent, its commands or your files.

Personal device beside a separate agent computer.

Know what has access

See where your computer runs, what it shares and which accounts are connected. Hivra tells you whether you got a virtual machine or a container, because they don't protect you the same way.

It feels close

The remote computer has to disappear

Nobody wants to feel like they are steering a broken office PC through a support call.

If Hivra is going to replace local agent setups, the computer needs to feel close. Text should remain sharp. Typing and scrolling should feel natural. Reconnecting should recover the same machine. Taking control should happen in the place where the agent was already working.

This is where Hivra's product moat can grow. The cloud providers can sell raw compute. Agent companies can build better models. Hivra can own the experience of turning distant compute into a computer people and agents are happy to use together.

Distance still exists. Region, route, protocol, encoder, client and workload all affect responsiveness. Hivra has to measure each path and tell the truth about it. A fast setup screen is not proof of a fast desktop.

The standard is easy to say and hard to earn:

The computer should feel close enough that you stop wishing the agent was on your laptop.
Your cloud

Your cloud is welcome too

Hivra Cloud is the shortest route. Choose capacity and launch.

It cannot be the only route.

Hivra is being designed so people can connect supported cloud accounts, prepared Proxmox environments and servers they control. Operators will be able to run the functional control plane themselves without a Hivra Cloud account. The current product has bounded managed, owner-connected and local source-checkout paths. Complete self-host packaging, recovery, upgrades and movement between modes still need more work.

Managed Hivra should win because it is smooth and dependable. It should never need a hidden, better version of the platform to trap people there.

Hivra's source is published under Apache 2.0 and can be inspected or built upon. A source-based self-host preview exists without requiring a token or Hivra Cloud subscription. That is distinct from a polished, fully supported self-host installation: packaging, recovery and upgrades remain work in progress.

Evidence

Every run should leave evidence

An agent can explain what it did. That explanation is useful. It is also written by the system being supervised.

Hivra's evidence layer is meant to connect the original request to what the computer actually exposed and observed:

request
  → agent and computer identity
  → access available at the time
  → approvals and interventions
  → observed commands, files, browser actions and messages
  → restarts, failures and recovery
  → artifacts and final state

The aim is deep observability where Hivra can mediate or instrument the action. That boundary matters. Hivra cannot see into an unrelated encrypted channel or read a model's mind. It can make the surrounding computer far less mysterious.

Evidence creates its own responsibility. Logs may contain code, filenames, commands and business context. They need isolation, encryption, redaction, retention controls and deletion. Surveillance is not the price of safety.

A source-labelled sequence connects the request to observed actions and outcomes, with containment kept as a separate control.

Every run should leave enough truth for a person to answer: what happened, what changed, what remains, and what can I do now?

A platform

One computer opens the door to a platform

A separate computer solves the first problem. A network of carefully separated computers creates a new category of product.

Several agents can work at once without sharing one laptop, one root account or one invisible pool of credentials. A task can move to the agent suited to it. A human can see where the work is happening, inspect the handoff and stop one part without killing everything else.

Communication between agents becomes an explicit object. One computer can send a message or artifact to another without handing over its whole authority. Memory can be shared by reference, with scope and provenance, instead of copied into every agent by default.

That is the larger thesis behind Hivra.

Agent Computers is the flagship. Hivra is the umbrella around the things those computers will need as they become useful enough to do serious work.

The system

The Hivra system

The wider map grows in layers. Most of these products are exploratory. The map shows direction, not pretend shipping progress. Gate, Exchange, Arena and Signal are among the next areas Hivra intends to explore; they are not live products.

Place, identity and control

Agent Computers gives each agent somewhere to work. Hivra Capacity connects the compute underneath it. Hivra Gate can hold consequential approvals and credentials outside the runtime. Hivra Names can give agents and computers stable addresses without publishing a directory of targets.

Communication and experience

Buzz already has bounded integration evidence as an optional collaboration surface. The broader Hivra Relay idea is deliberate communication across separate computers. The Experience Network can move signed, reviewable workflows and machine experience between approved environments.

Knowing an address never creates trust. Receiving a message never grants permission. Importing experience never installs itself.

Software, work and organisations

Hivra Exchange can distribute runtimes, tools, computer profiles and extensions with provenance, versioning and revocation. Hivra Missions can organise funded objectives around a named sponsor, an exact budget and accepted evidence. Hivra Foundry can become an operating layer for founders building agent-native companies with explicit charters and human control from day one.

Hivra Colony can test persistent multi-agent organisations inside capped, resettable environments before similar systems receive real money or broad reach.

Commerce and the physical edge

Hivra Interchange can give agents exact-purpose financial authority without sharing an owner's primary keys. A future Agent Business Exchange could make an operating system for a business reproducible through clean transfer of workflows and infrastructure, without selling a live identity or customer data. Hivra Ports can connect bounded systems to approved services, devices and human operators.

Each part should be useful on its own. Builders may use Hivra end to end, host one module themselves, add a runtime or provider, publish a computer profile, or create something Hivra never anticipated.

That is how Agent Computers grows into infrastructure.

LaunchPad (future). Another initiative we're exploring would bring AI agents, creators and communities together around new projects, with ways to support promising builders. The practical details are still being worked through. Nothing is available to launch through LaunchPad today.

The products

What we're building
around it

Agent Computers give the work somewhere to happen. Everything below is what an agent does from there: using accounts, installing tools, sharing what it learned, spending money and working with others.

Next and Then are the order we're working in. Research is still being figured out.

Agent Computers · Available now

Run Claude Code, Codex, Hermes, OpenClaw, Agent Zero or Aeon on a computer of its own, with DeepSeek in preview. Or launch an Ubuntu computer and use it yourself, with Omarchy as a prepared computer and Windows on your own server. On Hivra Cloud, your own server or your own hardware (Hermes runs on Hivra Cloud only, and Windows uses your own licensed image).

Coming: Hivra Orchestrator, macOS, custom images.

Explore the ecosystem

Click any product to open its story.

Click a stage to highlight its ideas

Positions group ideas; lines aren't implemented connections.

Next

Gate.

Let an agent use an account without handing it the keys.

A support agent needs to refund a damaged order. Hand it your payment key and it can do far more than refunds.

With Gate, the agent asks for the refund instead. Gate checks who's asking, the account, the amount and whether you need to approve, then returns the result and a receipt. The key never enters the agent's computer, and a refund permission never becomes permission to change your payouts.

01 / 15

Next

Exchange.

Know what you're installing.

A store for agents, tools, MCP servers, ready-made computer setups and workflows. Before you install anything you see who made it, which version you're getting and what it wants to reach.

If an update suddenly wants your email, that's a new decision you make, not a silent change. People who publish get a verified name, version tracking, a way to pull something back, and payment.

02 / 15

Next

Arena.

Find out where a workflow breaks.

Attack your own agents and their tools on purpose, in a safe test area: booby-trapped documents, fake approvals, stolen logins, spending that won't stop.

The report shows what the agent tried, what stopped it and where the controls failed, with a signed result for the exact version you tested.

03 / 15

Next

Signal.

Share a finding before it catches someone else.

When someone finds a hacked MCP server or a software package that steals files, everyone using it needs to know today. Signal collects verified reports and the evidence behind them.

You pick the sources you trust and what they can trigger: an alert, a suspended account, a tool locked away until it's checked. A feed can never install software on your machines.

04 / 15

Then

Vault.

Answer the question without handing over the account.

An agent booking a meeting asks if you're free Tuesday afternoon. Vault answers yes or no, without your calendar coming along.

It also keeps track of what it has already answered, because a hundred narrow answers can reveal as much as one broad one.

05 / 15

Then

Passport.

Check where an agent came from.

An ID for an agent that you can check: who made it, which version it is, what access it says it needs and which tests it has been through.

A signature tells you who signed something. It doesn't make everything they publish safe, and it never grants permission on your behalf.

06 / 15

Then

Seal.

A security claim you can actually check.

A security badge backed by proof: signed releases, recovery that has been tested, limited internet access, and logins kept outside the agent.

The certificate says what was checked and when it expires. An update that changes how logins are handled needs a new review.

07 / 15

Then

Rescue.

Get control back when something goes wrong.

An agent starts sending files somewhere unexpected. Rescue stops it, takes back its logins and keeps the evidence, in one place.

Then it finds other computers running the same part and rebuilds them from a clean copy you know is safe. Stopping a problem never grants new access.

08 / 15

Then

Challenges.

Pay people to break it.

A reward behind a precise question. Can this agent read another customer's files? Can it skip an approval? Can it get out of its computer?

Researchers get an approved place to test and clear rules. Reviewers repeat what they find to check it's real, and confirmed findings get paid.

09 / 15

Then

Experience.

Let another agent start from what worked.

An agent spends hours working out why a database move failed, then fixes it. The next team with the same problem shouldn't start from zero.

Experience packages the method, evidence and limits so another team can review and reuse it, with secrets and personal data stripped out.

10 / 15

Research

Missions.

Give a group of agents a job with a clear finish.

A person sets the goal, the budget and the evidence needed to call it done. Each agent gets only the access its part needs.

Agents can't widen the target, raise the budget or approve their own invoices.

11 / 15

Research

Foundry.

Run an agent-powered business with someone responsible for it.

Agents handle ongoing work under a human owner, who sets what the business offers, what it can spend and what needs approval.

Agents do the work. They don't own the business and can't approve their own growth.

12 / 15

Research

Colony.

Study how agents work together over time.

Groups of agents in simulated worlds we can reset, like a repair shop with stock and customers, to study cooperation and failure safely.

Nothing inside the simulation carries into the real world.

13 / 15

Research

Interchange.

Give it a budget you can take back.

Let an agent pay for what a job needs while your main payment method stays somewhere else. You set the purpose, the limit and the end date.

If it needs more, it asks. Splitting a purchase or handing it to another agent can't get around the limit.

14 / 15

Research

Ports.

Connect a digital task to something physical.

Narrow links to approved devices, services and people, like sending a document to a local print shop within a set budget.

Every physical action has a named owner and hard limits, and a person can always say no.

15 / 15

We're not putting dates on the map. AI speeds up building, but it doesn't speed up licences, security review or evidence nobody has gathered yet. We'll show the work as it develops and say clearly when something is ready.

The economy

An economy for work the system can prove

An agent running on a computer is a product. A network of agents, tools, builders and independent operators could become an economy. But a token does not become useful merely because we give it a name.

$HIVRA is planned as the successor to $HermesOS on Base. It is intended to support optional token payments and service access, with further uses possible as Hivra's products become real. Today, existing $HermesOS service features are a separate matter from the not-yet-active $HIVRA launch. Hivra Cloud also accepts ordinary payment methods, and self-hosting does not require a token.

The longer-term possibilities include payments for metered computing, published tools, verified security work and approved tasks between independent parties. They are directions, not benefits promised to someone who holds a token. Where a card or stablecoin works better, we should use it.

Why the new token has a different structure

I originally intended to keep $HermesOS. As the product changed, I decided that Hivra needed more independence over the launch arrangements, trading-fee routing and long-term development. $HIVRA is therefore intended to launch independently through Doppler rather than through the earlier Bankr conversion plan. Launch configuration and contracts must still be verified before the new token is described as live.

No founder allocation of new $HIVRA tokens is planned. That does not mean there is no founder compensation. A disclosed trading-fee share is intended to support the founder and ongoing operations.

The chosen target trading fee is approximately 1.58% in total:

UseIntended percentage of each trade
Founder and Hivra operations1.20%
Reserved for adding and locking liquidity0.30%
Doppler protocol shareapproximately 0.08%
Totalapproximately 1.58%

These figures describe the intended allocation as a percentage of trading volume, not the share of a smaller fee pool. The protocol portion, total fee, recipient addresses and any additional charges need confirmation against the final deployed contracts before launch.

The 0.30% liquidity portion is not automatically locked. The plan is to collect it separately, potentially in a dedicated Safe wallet, then periodically add and lock liquidity using established infrastructure. Hivra intends to publish regular, preferably weekly, records of what was received, what was added, where it was locked and what is still awaiting deployment. Money sitting in a Safe wallet is not itself locked liquidity. None of this guarantees price stability, active liquidity at every price or returns to holders. There is no planned programme of trading-fee-funded buybacks, holder revenue distributions or price support.

The $HermesOS migration

The snapshot of eligible $HermesOS holdings has already been completed. Eligible wallets are planned to receive a 1:1 allocation of $HIVRA, claimed through Sablier rather than delivered automatically. Holders will need to claim for themselves and pay the applicable claim and network fees.

The intended claim period is 90 days from the verified claim opening, not 90 days from the publication of this paper. Holders will not need to surrender or burn their existing $HermesOS. A 1:1 token quantity is not a promise of equivalent market price.

For the founder-controlled $HermesOS balance, the plan is to wait an initial two weeks, then sell **500 million $HermesOS per week for approximately three months**. Any founder-held tokens remaining after that schedule will be burned. The exact dates, wallets and on-chain records will be published. The founder sale schedule and the 90-day claim period are separate timelines; with the two-week wait, they may not end together. The claim rules, expiry procedure and treatment of unclaimed $HIVRA still need final confirmation. Burning founder-controlled tokens does not burn other holders' tokens or erase the old contract.

**Until launch and claims actually open, neither trading nor claiming should be described as live.** The authoritative place for contracts, exact times, wallet instructions and warnings will be Hivra's token information page. Ignore claim addresses supplied through unsolicited messages or replies.

Existing holders who use $HermesOS for access or payment need a separate, explicit explanation of how those benefits carry over. The snapshot claim alone does not determine service entitlements.

Boundaries that do not change

No token ownership is necessary to self-host Hivra. Holding $HIVRA will not grant control of users' computers or weaken security boundaries. The token is not equity, a dividend, a revenue claim or a guarantee of financial return. Future capabilities will be described as available only when the service, price, safety arrangements and legal route are real.

The UK cryptoasset financial-promotion and other regulatory requirements need specialist review before public token marketing and claim flows go live. A disclaimer or geographic block is not by itself a complete compliance route.

Read the FCA's cryptoasset overview and registration guidance.

What it's for

Think about what needs paying for on Hivra. A computer has to run all night. A researcher who breaks out of a test machine should get paid for it. A publisher whose tool gets a fix should get paid. An agent should be able to buy a small answer from another agent. Give every one of those its own paywall and you get fifteen checkouts, fifteen balances and fifteen sets of rules to learn.

One token means one balance that works across all of it. Each use still has to earn its place, and where a card or a stablecoin does the job better, we use a card or a stablecoin.

Of the uses below, only the first is live today, with $HermesOS, alongside optional $HermesOS payments. The rest are proposals. Here's the list, and where in Hivra you'd meet each one.

Access to compute.

Hold for a tier of computing power, fixed when you first qualify. This is what runs Agent Computers, and it's live today with $HermesOS.

Metered spending.

Pay for what you use: running time, storage space, extra processor cores and data sent out of your computer. Priced per unit against a balance you top up.

Packs.

Ready-made agent setups you buy outright. The cheapest one is deliberately cheap, because it should cost almost nothing to try this.

Reserved capacity.

There's a hard limit on how many computers we can run, because hardware is finite, not because somebody printed a number on a chart. Reserved room and priority placement are limited by that.

Containment bounties.

This is how Challenges gets funded. A reward pool sits behind one precise test. Escape this machine. Cross this wall. Skip this approval. Anyone can add to a pool. A researcher breaks it, reviewers repeat it to check it's real, and the researcher gets paid.

Nearly all the money in AI security rewards today goes to the AI itself: prompt injection, jailbreaks and slipping past its safety filters. That's good work and it's well funded, but it isn't the only place things break. Almost nobody is paying people to break out of the machine the agent is running on. That's the layer we're built on, so that's the layer we want attacked.

We're also the right people to fund it, because the test happens on our own platform. A researcher gets a real, approved Agent Computer instead of a description of a target, and the activity record means the argument is about the finding, not about whether anyone can repeat it.

The public record shows what's covered, the reward, how long it's been open, who tested it and what they found. An unclaimed pool doesn't prove anything is secure. It only says no qualifying claim has been paid under those rules.

Certification bonds.

This is what gives a Seal badge its weight. A publisher who gets one puts money behind the claim, like a deposit. If someone proves the claim wrong within the terms, part of that deposit pays for the finding. Nothing grows just from sitting there. It only moves when a failure has been verified. The point is to make a security claim cost something when it's wrong.

Threat report payouts.

This is how Signal pays for its warnings. Find a hacked MCP server, a software package that quietly asked for more access, or a stolen publisher key. Report it, reviewers check it, you get paid, and everyone following that feed can respond.

Publisher payouts.

This is how Exchange keeps good tools alive. It pays the people who build and look after what's listed on it. It also keeps track of versions and verified names, and lets bad ones be pulled back.

Certification fees.

Seal reviews get paid for. Real review costs real time.

Experience packages.

An agent works out something difficult. That gets packaged with its method, its proof and its limits, and sold. Someone else's agent can use it after review. What one agent learned the hard way becomes something another team can buy, inspect and test.

Mission funding.

This is how Missions get started. A sponsor puts up a budget for a goal, and payment happens when the proof is accepted, not just because work was done.

Agent budgets.

This is Interchange. An agent gets an allowance. It has a cap, it can be taken back, and it's watched. It buys its own computing power, a paid tool, a Vault answer or work from another agent. Small amounts, very often, and the thing spending isn't a person. Handing a job to another agent must never multiply the money available.

Rules for the token

A token is easy to bolt on and hard to trust. So here is what this one can't do, written down before anything launches.

No staking or yield. Holding or locking doesn't earn more tokens, a return, or a share of profits.

No time locks. A holding period doesn't earn a benefit. Any certification deposit needs terms consistent with that.

No buying extra authority. A balance can't get you wider logins, another person's computer, or an exemption from the response to a security incident. A token vote can't weaken those controls either.

No presale or private round. No founder allocation of new $HIVRA is planned. The final supply is published once the contract is verified.

No company ownership. Holding the token isn't owning Hivra.

No manufactured activity. No wash trading, no circular transactions, no rewards designed to make a chart look busy.

The pace

Move at AI speed. Publish at evidence speed.

AI changes how much a small team can build in six months. A roadmap padded to 24 months can become obsolete before the first quarter ends.

Hivra will work in dense waves that can overlap when the foundations allow it. The clock measures working outcomes.

Make launch feel inevitable

One Agent or Computer choice. One resumable journey. Hivra Cloud, a supported cloud account or a supported server. Immediate access to the real result. Honest failure and verified cleanup.

Make the computer worth using every day

Finish the Ubuntu path. Measure responsiveness. Prove reconnection, lifecycle and recovery. Add Omarchy and Windows only through their own acceptance gates. Package the same control plane for web and later native clients without creating separate products underneath.

Make control undeniable

Connect requests, approvals, observed actions, artifacts and outcomes. Add human takeover, bounded stops, revocation and recovery. Make communication between computers deliberate and inspectable.

Open the builder layer

Publish the contracts for runtimes, providers, profiles, tools and policies. Prove Exchange, Experience, Missions and Foundry through small working slices.

Activate economics through use

Complete the snapshot-based $HermesOS migration and verify the Doppler launch, fee routes and 90-day Sablier claim campaign. Publish final supply, controller and contract details only once they are verified. Introduce further token uses only when there is a real service and a lawful operating path.

Fast code cannot compress provider access, operating-system licences, security review or sustained reliability into a slogan. AI speed should make each wave denser. It should never make the evidence weaker.

The constitution

A constitution written before the power arrives

The wider system is exciting because its parts can connect.

Computers create persistence. Relay creates coordination. Experience makes capability reusable. Missions create durable goals. Interchange creates spending power. Foundry creates organisations. Ports create physical reach.

That combination can become more dangerous than any one product.

Hivra begins with one conservation rule:

A child agent, delegated task, connected product or token action cannot create more authority than an accountable principal deliberately supplied.

The network should have no universal master key. Emergency controls can deny, pause, quarantine and revoke. They cannot quietly become a fleet-wide command channel. A model, customer, employee, company key, token vote or government order should never be enough on its own to turn the whole system into one offensive machine.

Hivra itself belongs inside the threat model.

Security is the constitution under the opportunity. It keeps Hivra useful when individual agents, operators or institutions fail. It also keeps every later product honest about the authority it creates.

Somewhere
better to work

Agents will operate more software, hold more context, work for longer and cooperate across more systems. Keeping each one beside everything we value and trusting the next permission prompt is not a serious long-term answer.

Give the agent a computer of its own.

Make it easy enough to launch, fast enough to enjoy, open enough to leave and observable enough to supervise. Then let people build tools, networks, marketplaces and companies on top of a boundary that existed before the power arrived.

Start free. Sign up for free, then connect your own cloud or server. Hivra Cloud computers are on a paid plan. Sign up free · See pricing

**Agent Computers is where Hivra starts. The operating layer for accountable autonomous systems is where it can go.**