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Rangoon.ai

Harness adapters

Translate with evidence.
Never pretend equivalence.

Versioned adapters are planned to discover native configuration, map supported concepts, compile canonical assets, and explain target-specific limits.

Product direction · In active development

01

A precise adapter job

An adapter should discover supported inputs, map them into the canonical model, report capabilities, generate target artifacts, and validate output.

Version independently

Harness behavior changes quickly, so adapter evolution must remain inspectable and separately versioned.

02

Show the transformation

Planned compilation views should surface generated file structure, transformation rules, unsupported behavior, warnings, dependencies, and output differences.

Compatibility is not binary

Adaptation and partial support need a clear explanation before a team relies on them.

03

Still being designed

No adapter SDK, supported harness list, certification, or production compatibility guarantee is announced here.

Build for review

The intended ecosystem prioritizes traceable adapters over opaque conversions.

The future is open

More capability.
Greater possibilities.

Let’s build an AI ecosystem worth trusting.

Rangoon, the smiling orange crab mascot
Product previewConcept interface · sample data · active development

Explore the design. Actual interfaces and feature availability may evolve.

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