WINDOWS ENDPOINT · LOCAL OR FRONTIER AIALPHA · RETAINED WINDOWS E2E

ARKTOR Go

Use the intelligence you choose on the Windows hardware you already own. Run a strong personal LLM on a capable PC or server in your own network and let older laptops, 2-in-1 Windows PCs and workstations use it through ARKTOR Go — or use supported frontier AI when you prefer. The endpoint does not need to run the large model itself.

BEST FOR

Who this product is for

People and teams that want one strong AI environment to remain on capable hardware while older Windows PCs become useful endpoints instead of being replaced.

USE IT WHEN

The decision moment

You have a strong local AI PC or server, or access to supported frontier AI, but the Windows device in front of you is older, weaker, remote or too specialised to host the large model itself.

TWO WAYS TO USE ARKTOR GO

Your own local AI — or supported frontier AI.

  • Your own AI in your own network: run a strong personal LLM on a capable workstation or server and use ARKTOR Go to make that intelligence available on older Windows laptops, 2-in-1 Windows PCs, branch PCs or machine-side systems.
  • Frontier AI when you want it: use supported frontier intelligence through ARKTOR when you do not have local model hardware or want stronger reasoning for a task.
  • The target Windows device remains the endpoint. It does not need the GPU, RAM or model storage required to host the large model itself.
  • Inspect, organise and troubleshoot existing Windows systems without forcing a hardware refresh.
  • Bring remote, branch, warehouse or specialised PCs into a controlled ARKTOR workflow.
CURRENT CAPABILITIES

What is retained and currently implemented

  • Portable Windows x64 execution with no permanent service required by default
  • Outbound session design with no inbound target port by default
  • Bounded system, process and file work under explicit session control
  • Permission-bounded modular capabilities
TYPICAL FLOW

How it works

  1. Choose the intelligence source: your local ARKTOR AI host or supported frontier AI
  2. Start ARKTOR Go explicitly on the target Windows PC
  3. Approve elevation only when the requested action genuinely requires it
  4. Establish the controlled outbound session, perform approved work and end it without persistence by default
DEFAULT BEHAVIOUR

Portable by default. Persistent only by explicit choice.

The user starts the session, approves elevation when needed, and closing ARKTOR Go ends remote access by default.

RETAINED EXTERNAL WINDOWS E2E · 17 AUGUST 2026

ARKTOR Go and Link have a retained real Windows proof

On 17 August 2026 the native owner path verified an online, owner-bound and elevated full-control session on an external Windows x64 target. Remote system.info, file listing, file reading and harmless process execution all completed successfully through ARKTOR Link. That retained proof remains valid for the tested build and path.

Latest product gate — 3 September 2026: the retained one-click build started, resolved its ARKTOR identity and completed system.info on SBKEE. A later step exposed a session-lifecycle regression during fresh release testing. This does not erase the 17 August E2E, but it means the latest release/product gate is pending, not “verified today”.

CURRENT STATUS

What remains before public release

  • Fresh clean-PC release verification
  • Production code signing and public one-click onboarding
  • Release-soak validation
RELATED GUIDE

Why portable, session-scoped AI access matters

Read Portable & Remote AI Assistance on Windows for the architecture, permission and persistence trade-offs behind this product direction.

RELATED USE CASE

Help another Windows PC without permanent remote access.

See the evidence-backed scenario: Portable Windows assistance without a permanent target service →

RELATED PRODUCT

If Windows no longer starts, use ARKTOR Rescue.

Go is for a Windows PC that still boots. Explore ARKTOR Rescue →

AVAILABILITY

0.6.0 alpha with retained external Windows E2E. The latest public-release gate remains pending.

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