An open future for governed AI. Built in the open
Rangoon.ai

Community

Build the ecosystem.
Keep the work inspectable.

Rangoon invites future contributors to help shape portable, governed agent-management systems through open discussion, source review, and practical extensions.

Product direction · In active development

01

A shared problem

Agent configuration is fragmented across instructions, skills, tools, workflows, connectors, local rules, and runtime-specific formats.

A practical goal

Make useful capabilities easier to understand, transfer, test, and govern without pretending every target is identical.

02

Paths to contribution

The planned ecosystem includes core platform work, adapters, connectors, workflow nodes, policy packs, test packs, documentation, and design feedback.

Evidence over guesswork

Contributions should preserve provenance, compatibility context, and clear operational boundaries.

03

Follow development

The future public repository is https://github.com/hypler-dev/rangoon/. Community process and contribution guidance are still being prepared.

Early stage

No community program, forum, or support channel is claimed as live on this page.

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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