AGI FLEET LINUX + MAC
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YOUR NEXT STEP INTO AI WORK

Intelligence,
put to work.

Fleet helps a dedicated Linux computer or Apple silicon Mac perform AI work and check the results. New here? Choose what you want to do, and we’ll guide you to the right next step.

Explore at your own pace · No sign-up to read the guide · English & français

Linux v1.1.4Qualification prereleaseOpen for controlled fresh installation.
Release notes

NEW HERE? YOU’RE IN THE RIGHT PLACE.

A big possibility.
A simple first step.

You don’t need to understand the technology to explore. Our guided welcome helps you find your path, understand what you need and decide what to do next.

Mac M1 / M2 guide → · Separate Mac qualification. Paid work stays off.

The guide is free to explore. Running Fleet needs a supported computer and AI service access; setup may need a technical helper.

YOUR ECOSYSTEM, AT A GLANCE

Four systems. A clear next step.

Start with the result you want. Each project has a different role, its own setup and its own evidence.

01 / EXPLORE

AGI Alpha Agent

Develop an idea, compare plans and explore bounded local experiments.

Explore ideas
02 / DEFINE & REVIEW

AGI Jobs v0

Prepare a task and inspect evidence in the demo observatory and JobRegistry ecosystem.

Explore jobs and demos
03 / REQUEST WORK

AGIJobManager

Prepare a request and understand the separate USDC escrow, review and settlement process.

Prepare a request

01 / THE SYSTEM

A workstation with
clear responsibilities.

OpenClaw powers the compute environment. Fleet connects the work to AGIJobManager, with separate execution, review and transaction controls.

Choose the workspace

The public release uses isolated compute. Separate Linux and Mac source previews open development paths for installed and signed-in applications.

COMPUTE ACCOUNT

Review the evidence

Node independently checks submitted work. Deliverables and completion references connect execution to the contract’s review process.

INDEPENDENT ROLE

Keep authority separate

The signer holds the encrypted wallet and applies approvals and spending limits. Compute never receives the wallet or settlement signing authority.

SIGNER ACCOUNT
AGIJobManagerUSDC escrow · participant identity · bonded review · settlement rulesExplore the integration ↗

02 / THE MISSION

The work you do.
The tools you use.

Our goal is a capable, easy-to-use AI workforce for a large fraction of the jobs people do with a keyboard, mouse and screen: files, code, installed applications and signed-in business tools.

Our assessment: infrastructure for buying and delivering digital work. Fleet supplies the execution and review environment; AGIJobManager supplies funded work orders and settlement rules. Together, they could support individual deliverables, recurring workflows and coordinated projects across existing applications.

The strategic potential is broad. Capturing a large share means making accepted results consistently useful, affordable and easy to obtain with little human rescue. That is our assessment of the architecture; broad real-job performance remains to be demonstrated.

Read the full analysis and its sources ↗

What a buyer should get

The intended advantage is a dependable work-delivery process. Modern assistants already offer tools and automation; this combination aims to connect execution, credible review and commercial accountability.

01 / DEFINE

A clear result

Agreed deliverables, acceptance criteria, budget and deadline.

02 / EXECUTE

Work in the right tools

Actual files and application actions in the authorized workspace.

03 / VERIFY

A separate quality check

Review the delivered bytes and observed effects against the brief.

04 / SETTLE

A commercial process

Escrow, evidence, disputes and payment rules for supported public jobs.

The authorized desktop is a pilot preview. Its private workflow still needs an implemented and qualified bridge to public settlement.

MODE 01 / PUBLIC-WORK RELEASE

Create checkable deliverables

Use public or synthetic inputs in an isolated workspace. Build documents, spreadsheets, source code, reports and local websites with the available tools.

Linux 1.1.4: recorded native and contract-integration acceptance. Physical qualification remains open. This mode has no personal browser session.

Install the public-work release ↓

MODE 02 / SOURCE PREVIEWS

Work across your applications

Prepare a dedicated Linux X11 or Apple silicon Mac account for installed applications and accounts you sign into yourself. Each platform has its own native provider and setup guide.

Controlled development previews: signed grants, budgets, private records and encrypted handoffs. These source previews are outside the Linux and Mac release ZIPs. Production native execution is disabled; each needs its own physical qualification.

The new Mac source preview adds guided task preparation and larger public Studio imports. It is separate from the original native-workforce pilot bundled in Mac 1.20.2.

Choose the workspace before the work. The authorized preview controls the whole dedicated OS account, including its files, applications and signed-in sessions. It is not a per-site sandbox. Use a task-only account or VM, separate from your everyday desktop and the Fleet signer. Private results are not automatically published or settled through AGIJobManager.

Target task families — examples to qualify, not a claim of demonstrated customer-job coverage
Work you want doneA useful, checkable outcome
Software & technical workA tested fix, website, build or documented deployment, with the necessary tools and authority.
Data, science & reportingReconciled records, reproducible calculations, a workbook and clear charts.
Documents & creative productionA report, presentation, layout or other deliverable opened and inspected against the brief.
Research & knowledge workSource-backed findings, comparisons and structured knowledge, with independently checked claims.
Customer & business operationsCRM updates, support drafts, catalog maintenance and administrative records. Signed-in tasks use the authorized preview and need separate qualification.
Work across applicationsA proposal, updated tracker and review package, with every handoff and intended external change checked.
THE EXPERIENCE WE ARE BUILDING

Describe the result → choose a workspace → review authority and budget → run → inspect the outcome. Fleet performs and reviews the work; AGIJobManager coordinates escrow and settlement for its supported job path. The quickstart shows today’s preview setup. A polished one-click experience and broad application qualification are development goals.

MARKET SCALE / EXPLICIT ASSUMPTION

A small share would still be substantial.

The team uses approximately US$40 trillion per year as its strategic estimate of human screen-work value. This is not an independently verified market measurement. The arithmetic below illustrates scale; no share is assumed achievable.

Hypothetical shares of the team’s assumed annual work value — not revenue forecasts
Hypothetical shareAssociated annual work value
0.01%US$4 billion
0.1%US$40 billion
1%US$400 billion

Work value, job purchasing volume and company revenue are different quantities. Automation can change prices. Actual receipts follow the paid job’s terms and participant allocation; profit also deducts execution, review, failures, infrastructure and human effort.

How does a large market become an actual business?
  1. Total opportunity: define the screen work included in the strategic estimate.
  2. Serviceable work: identify tasks reachable with available tools, permitted data access and competitive quality and cost.
  3. Accepted paid work: measure what customers actually buy and accept within execution and review capacity.
  4. Receipts and profit: record each participant’s realized payment and full costs. A contract allocation is not automatically a company fee.
Does “most jobs” mean replacing entire occupations?

A task produces one checkable result. A workflow combines dependent tasks. An occupation includes many workflows, exceptions, relationships and accountability. The target is a large share of useful screen work across occupations; replacing most entire roles is a separate claim.

Measure both task success and the share of work time or economic value covered. A high success rate on a small selected task set does not establish broad market coverage.

What is the most credible route to a large market?

Start with independently checkable public deliverables. Expand into repeat customer workflows as quality, review cost and recovery become dependable. Implement and qualify the bridge from authorized application work to AGIJobManager settlement, then qualify projects spanning tools and specialist Agents.

The objective is more independently accepted work per dollar and per human minute, with sustainable economics for both Agents and Nodes. Scale proven workflows and keep their measured failures visible.

Can I import jobs with other file types?

The public Studio included in Linux 1.1.4 and the separate Mac Studio preview open public computer-work/v2 jobs in Agent and Node, including arbitrary declared formats, up to 64 files and 64 MiB total. They preserve the job’s runtime identities, permissions, inputs and budgets. The quick editor remains v1; private account-based jobs use the authorized workspace. The Mac Studio remains a source preview outside the published Mac installer.

Can it already complete most screen-based jobs?

That is the mission; current releases have not established that coverage. Access to an application makes a task possible to attempt. Reliable completion also needs the right model, organizational context, permissions, recovery and independent review.

The job format has no profession or file-extension allowlist. Application compatibility on each platform and available adapters still matter. Each task family needs representative results, including failures, before it can be offered as reliable.

How do I keep control of a signed-in workspace?

Use a dedicated task account with only the applications, files and service permissions needed. You sign in manually. Review the signed task authority, expiry and budgets. Whole-account mouse and keyboard access can reach files and terminals; application labels do not create narrower isolation.

The preview uses private local records and encrypted handoffs, but local work files and journals may retain plaintext. Screenshots may be sent to the approved model provider. The operator manages data permissions, retention and cleanup. Keep private work out of the public delivery path.

What proves that broader access is useful?

First prove real desktop input, app interaction, revocation, STOP and recovery. Then qualify held-out tasks across documents, spreadsheets, browser apps, software tools and business records. For multi-step tasks, inspect actual before/after effects and check for duplicate or unexpected changes.

Measure independently accepted results, review errors, total cost, human minutes, completion time and failures. Test setup usability and sustained operation. The full roadmap separates each stage. Existing release evidence does not automatically qualify the preview.

How does a 1,000 USDC job distribute value?

For the documented default successful-job split with participating correct-side validators: 520 USDC to the Agent, 80 USDC collectively to those validators, and 300 / 100 USDC to the two settlement wallets. These shares are included in the original price.

This is a settlement illustration, not a profit forecast. Actual amounts depend on the job’s validator rate and outcome, with rounding, bonds and failed-payment rules applied separately. Count inference, verification, unsuccessful attempts, human intervention, infrastructure and gas in the total cost. The private preview has no automatic settlement bridge.

Read the exact payout rules ↗

The potential: a reusable digital workforce across existing software. Computer access expands what can be attempted; dependable execution, independent review and workable economics determine what customers will buy. The path to a large share is to prove useful workflows and expand their coverage.

03 / READY TO PREPARE A COMPUTER?

Your first machine.
A clear path forward.

For operators and technical helpers: start with Agent on a clean, dedicated host. Complete the physical qualification steps before enabling funded work. New here? Use the guided welcome first.

Check your machine

A planning checklist. These boxes do not run tests or qualify your host.

Host requirements

0 of 4 planning checks complete

Other distributions, WSL, containers, headless substitutes and Mac are not qualified by this Linux release.

COMPLETE FLEET PACKAGE

Linux 1.1.4

All six roles in one complete archive.
431.2 MB · 431,170,046 bytes

Download the Fleet ZIP

Qualification prerelease. Open for controlled fresh installation.

Verify your download with SHA-256

Run in the folder containing the downloaded ZIP. The result must say OK before you extract it.

printf '%s  %s\n' 5adefd1ddfac143246964fd1dca029adaa78bd7ac0d077b0e692976ce21a3de4 AGI_Fleet_Linux_v1.1.4.zip | sha256sum --check

Checksums verify integrity. Obtain the archive and release information from the official repository.

Open the complete installation guide ↗

Use the Fleet ZIP for installation. GitHub’s “Source code” downloads are development checkouts.

Seven steps, three account contexts.

Use the full guide for exact commands. Switch accounts through Ubuntu’s login screen.

  1. 01

    Verify and place the release

    Check SHA-256, extract the entire ZIP into an absent directory under /opt/agi-fleet-linux, protect ownership, and require Verify-Linux.sh to pass.

  2. 02

    Prepare two fresh accounts

    Prepare-Ubuntu.sh creates distinct nonadministrator signer and compute accounts, with private homes and the pinned Docker packages.

  3. 03

    Create the signer setup kit

    Launch Agent, create a new unfunded encrypted wallet, preserve its recovery information, and export the private compute setup JSON. Leave the signer stopped.

  4. 04

    Transfer only the setup kit

    Use Transfer-Setup.sh to place the private JSON in the compute account. Wallet and OAuth material stay in their respective accounts.

  5. 05

    Install and authenticate compute

    Run Prepare-Compute.sh, then the role’s Install.sh. Complete Creator, Checker and Reviewer OAuth, review the policy digest, and confirm authenticated readiness.

  6. 06

    Prove tools and cleanup

    Inspect, qualify local tools, approve the bounded test, run real inference and create synthetic documents. Verify both base and browser sandbox cleanup after live work.

  7. 07

    Reboot, repeat, observe

    Confirm identity and approval persistence. Run 50 local cycles, then separately complete 72 hours of live endurance. Record actual evidence in the physical ledger.

Keep the first run controlled. Installation does not authorize wallet funding, paid jobs or provider spending. A green local check does not prove live job cleanup or qualify another role.

04 / CHOOSE YOUR ROLE

One fleet.
Six distinct responsibilities.

Begin with Agent. Qualify every additional role independently on a separately prepared clean host, with its own signer and compute accounts.

AGENT / LAUNCH REFERENCE

Run only after the administrator has placed and verified the complete release. Use the new signer’s desktop login; never use sudo.

/opt/agi-fleet-linux/AGI_Fleet_Linux_v1.1.4/packages/AGI_Agent/Launch.sh

Agent and Node include workstation qualification tools. Each role still needs its own recorded physical observations.

05 / EVIDENCE & READINESS

Know what is proven.
See what remains.

These results describe the exact Linux archive. Mac acceptance and physical qualification are separate: see the Mac guide. Your machine’s physical observations are also required.

NATIVE REGRESSIONPASS

Native acceptance recorded in the release manifest. Inspect the retained audit and exact archive identity.

Inspect native evidence ↗
CONTRACT INTEGRATIONPASS

Agent and Node clients tested against a pinned AGIJobManager baseline on a local chain with fixture inputs.

Inspect integration evidence ↗
PHYSICAL QUALIFICATIONNot run

No physical qualification is recorded in the published manifest. Real OAuth, live tools, cleanup, reboot identity and endurance require observed evidence.

Open the physical ledger ↗

Production qualification: not complete. Native tests and local contract simulations do not establish funded-job readiness, independent live validators or a qualified operator installation.

Release manifest ↗

06 / OPERATE WITH CLARITY

When something stops,
keep the evidence.

Fleet stops further work when a required condition cannot be confirmed. Diagnose the recorded failure before proceeding.

Installation refuses an existing Docker setup

The preparation script deliberately preserves existing Docker environments. Use a clean, dedicated Ubuntu host. Do not uninstall an existing environment just to force acceptance, or rerun a partially completed preparation without diagnosis.

I see COMPUTE_STOP

Preserve STOP, the setup reports, compute journal, accounts and Docker state. Do not manually remove the marker, weaken ownership checks or AppArmor, substitute root Docker, or use the historical Mac repair launchers.

Services are listening. Is my machine ready?

Listening ports alone do not establish authority or readiness. Authenticated identity, explicit signer approval, successful live tools and positive base AND browser cleanup must all be confirmed. An active STOP still prevents work.

How do I stop or restart?

Stop-Compute.sh deliberately writes an operator STOP and checks that services, ports and recognized sockets stopped. Start-Approved.sh only starts an approved, STOP-free profile; it cannot undo that STOP. A normal reboot needs neither command.

What should I include in a support report?

Include the release hash, OS and architecture, role, failing stage, sanitized error code, filtered Inspect output and bounded setup/qualification/cleanup reports. Keep setup JSON, mnemonics, wallet files, OAuth stores, raw provider responses and full home archives private.

Can I run multiple roles on this first host?

Each role needs independent qualification and separate accounts. This candidate does not automate additional account-pair provisioning on a host with Docker already installed. Use separately prepared clean hosts for additional roles.

Does the mainnet deployment mean funded work is ready?

No. The repository preserves a historical deployment compatibility snapshot, including the intake state at its observed block. Recheck current contract state and complete physical, identity, RPC, budget and service qualification before funded operation.

SELECTED READING

The ideas behind the work.

Understand the worker, the checker and the cost of a dependable outcome.

Essays by Vincent Boucher · English originals on LinkedIn. Some describe earlier versions; current guides explain setup, payments and availability. LinkedIn may ask you to sign in.

Fleet performs and reviews supported work. Its AGIJobManager integration uses USDC; actual machines, providers and review arrangements require their own qualification.

Reading notes and version context

07 / GO DEEPER

The right document.
At the right moment.

DEMO DIRECTORY / RÉPERTOIRE

Demos & local practice →

Find original browser tools, bounded local examples and exact setup guides.

LINUX · DEVELOPMENT PREVIEW

Try Local Skills ↗

Verify the separate package, install privately and try a free offline report. Full product acceptance remains open.

MAC · M1 / M2

Set up your Mac, step by step →

A complete companion with account labels, saved progress, larger text and recovery help.

APPLE SILICON · M1 / M2

Mac M1 / M2 guide →

A simple welcome, a printable plan and a native macOS path for all six roles.

NEW HERE? START HERE

Your guided welcome →

Choose a goal, understand what you need and find a clear next step.

FLEET × AGIJOBMANAGER

Potential and scope ↗

The broad workstation mission, target tasks, market estimate and measurable qualification roadmap.

LINUX · SOURCE PREVIEW

Linux workspace ↗

Prepare a dedicated Linux desktop for broader application tasks. Separate from the release ZIP; production execution disabled.

MAC · SOURCE PREVIEW

Mac workspace ↗

A guided native task menu and larger Studio. Outside the Mac release ZIP; production native execution disabled.

LINUX · PUBLIC STUDIO

Linux Studio imports ↗

Included in Linux 1.1.4: larger public jobs with exact requirements and separately authorized review handoffs. Physical commissioning remains open.

MAC · SOURCE PREVIEW

Mac Studio imports ↗

Prepare isolated test profiles and import larger public tasks. Outside the Mac release ZIP; no inherited qualification.

OPERATOR GUIDE

Fresh installation ↗

Exact commands, account switches and failure handling.

ACCEPTANCE

Physical qualification ↗

Record real observations for each host and role.

INTEGRATION

Fleet × AGIJobManager ↗

Current Linux integration evidence, exact Manager source and preserved contract history.

DEPLOYMENT REFERENCE

Mainnet readiness ↗

Inspect the existing deployment, review ENS records and prepare the checks for paid work.

ENGINEERING

Develop and reproduce ↗

Verified source materialization and development workflow.

VALIDATION

Native evidence ↗

Reproduction procedures and retained audit records.

Your next step can be a simple one.

Tell us what you want to do. We’ll help you find your way.

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