Canonical: https://hypler.com/projects/rangoon

Rangoon command center interface concept.

In development

# Rangoon

## A workspace for capability records.

Rangoon is in development. Its planned workspace groups profiles, skills, workflows, connectors, model targets, tests, and versioned artifacts. These records make capability inputs, dependencies, and test context available before a deployment plan is accepted.

[Visit Rangoon](https://rangoon.ai/)[Read engineering note](https://hypler.com/technical-library/capability-and-authority)

Interface evidence

## Inside the product.

Interface concept with illustrative data and integration marks.

![Rangoon command center interface concept](https://hypler.com/assets/rangoon-command-center.webp)

### Command center

A central surface can keep profiles, skills, workflows, targets, tests, and versioned artifacts visible before a team plans deployment.

- Capability records can be inspected as related parts rather than loose prompts.
- Compatibility, test context, and version relationships remain reviewable planning evidence.

Command center interface concept for profiles, workflows, versioned artifacts, and evaluation context.

Technology reference

## Rangoon ecosystem references

Rangoon concepts make model-target context visible while teams compose, inspect, test, and plan capabilities.

Reference ecosystem marks show planning context only. They do not claim a shipped integration, partnership, compatibility certification, or supported target.

![OpenAI logo](https://hypler.com/assets/technology/openai.svg)
[OpenAI](https://platform.openai.com/docs/overview)
Model ecosystem reference

A provider category Rangoon concepts can keep visible as target context.

Why here: Teams need target assumptions available for review during capability planning.

[OpenAI in glossary](https://hypler.com/glossary#model-provider)[Related guide](https://hypler.com/wiki/software-architecture)

![Anthropic logo](https://hypler.com/assets/technology/anthropic.svg)
[Anthropic](https://docs.anthropic.com/)
Model ecosystem reference

A provider category Rangoon concepts can keep visible as target context.

Why here: Teams need target assumptions available for review during capability planning.

[Anthropic in glossary](https://hypler.com/glossary#model-provider)[Related guide](https://hypler.com/wiki/software-architecture)

![Google logo](https://hypler.com/assets/technology/google.svg)
[Google](https://ai.google.dev/gemini-api/docs)
Model ecosystem reference

A provider category Rangoon concepts can keep visible as target context.

Why here: Teams need target assumptions available for review during capability planning.

[Google in glossary](https://hypler.com/glossary#model-provider)[Related guide](https://hypler.com/wiki/software-architecture)

![Mistral AI logo](https://hypler.com/assets/technology/mistral.svg)
[Mistral AI](https://docs.mistral.ai/)
Model ecosystem reference

A provider category Rangoon concepts can keep visible as target context.

Why here: Teams need target assumptions available for review during capability planning.

[Mistral AI in glossary](https://hypler.com/glossary#model-provider)[Related guide](https://hypler.com/wiki/software-architecture)

![VUSL](https://hypler.com/assets/vusl-logo-dark.png)
Semantic interoperability / In development

## Provider mappings and native authority.

Rangoon is the first consumer of VUSL, a shared language for describing capabilities and observations across platforms. Its planned core is independent of Rangoon and LNSAT.

VUSL is in development. Each connected system retains its own permissions and responsibilities.
[About VUSL](https://hypler.com/vusl)

Capability lifecycle

## Configuration becomes inspectable work.

- 01 Import or discover
- 02 Compose or decompose
- 03 Test
- 04 Compile preview
- 05 Plan deployment

Three graphs

## Composition, execution, and governance stay distinct.

Composition shows what a capability contains. Execution describes the planned path from a composed capability to a target and its test evidence. Governance records compatibility, policy requirements, and version relationships that need review before deployment planning.

These graphs make configuration and change legible. LNSAT evaluates the exact consequential action, scope, and approval required for execution.

Authority boundary

## Capability is not execution authority.

Rangoon keeps profiles, skills, connectors, targets, tests, and compatibility visible. LNSAT is the separate execution-authorization and evidence layer for an exact consequential action. Exact authority comes from a bounded request, policy decision, and scoped approval.

[Read LNSAT authority model](https://hypler.com/lnsat)[Explore SI information](https://hypler.com/ai-information)