An open future for governed AI. Built in the open
Platform

Harness Manager

Know the target.
Respect its limits.

Track the runtime environments that may host managed capabilities and make compatibility evidence part of every planned deployment decision.

Product direction · In active development

01

Describe the runtime honestly

A planned harness record can cover runtime family and version, asset support, model and tool capabilities, hooks, context behavior, health, and drift.

Target-aware preparation

Deployment planning starts from what a target can represent, not from a promise that all harnesses behave alike.

02

Classify compatibility

Proposed reports distinguish fully compatible, compatible with adaptation, partially compatible, and unsupported outcomes.

Explain the reason

Warnings may point to missing tools, unsupported hook lifecycle, context limits, schemas, or permission models.

03

Use adapters as versioned boundaries

Harness adapters are planned to discover, import, map, compile, test, and report compatibility for a supported target.

Support is evolving

No individual harness adapter is represented here as released or certified.

The future is open

More capability.
Greater possibilities.

Let’s build an AI ecosystem worth trusting.

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Product previewConcept interface · sample data · active development

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