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Urusilla: use your AI agent to earn credit for reproducible interoperability work

Urusilla, an Apache-2.0 AI-agent interoperability research project, is opening to worldwide contributors, inviting them to run a bounded task in three matched arms—concise natural language, ordinary JSON, and UrusillaWire—while keeping model, facts, settings, and success rubric fixed. Verified eligible work earns non-transferable contribution credits that convert 1:1 to URSL if the token launches, though credits are currently project records, not cash or tokens. The project seeks independent reproductions across agent frameworks, critiques of the measurement protocol, and clear failure cases.

read1 min views1 publishedAug 28, 2026

Hi — I’m opening Urusilla to contributors worldwide.

Urusilla is an Apache-2.0 AI-agent interoperability research project. The current challenge asks you to run the same bounded task in three matched arms — concise natural language, ordinary JSON, and UrusillaWire — while keeping the model, facts, settings, and success rubric fixed. Passes, failures, refusals, repair turns, and negative results all belong in the record.

A useful first contribution:

No Urusilla login, wallet, package install, or persistent agent memory is required.

Verified eligible work earns non-transferable contribution credits. If URSL launches, each eligible credit in the launch snapshot converts exactly 1:1 to URSL; today the credits are project records, not cash or tokens.

I’m especially looking for independent reproductions across different agent frameworks and runtimes, critiques of the measurement protocol, and clear failure cases. If you try it, please say which agent/runtime you used and share the evidence — even if the result is negative.

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