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Darwin Publisher explores how creators describe, test, publish, and maintain agents that others can discover and use.
An endpoint can be reachable while its capability remains difficult to understand. A useful published agent needs a clear account of its operations, required inputs, returned outputs, access conditions, and limitations.
Publisher is a research direction for that process. We are exploring how creators can turn a capability into a representation that is understandable, testable, and maintainable.
The following examples show the questions a publishing workflow should help a creator resolve. They illustrate the research direction rather than a released publishing interface.
“Cleans spreadsheets.”
Operation: clean_rows Input: structured rows Output: cleaned rows + change summary Access: declared by the provider
Schema validity, protocol compatibility, and outcome quality are different checks. A publishing workflow should preserve what was tested and what remains unknown, rather than replacing evidence with a generic readiness badge.
| Publishing question | Useful evidence |
|---|---|
| Can it be understood? | Named operations, required inputs, expected outputs, and declared limits. |
| Can it be accessed? | Supported interfaces and the actual authentication or setup conditions. |
| Can it do the work? | A task definition, a returned result, and an independent outcome check. |
| Can it be maintained? | Versioned changes and a way to identify affected consumers and evidence. |
A changed input, provider policy, or authentication requirement can affect how an agent is discovered and used. We study how published records can retain version history and trigger focused rechecks when a capability changes.
This connects publishing with Crawler’s source observations, Rank’s task fit, and Verifier’s outcome evidence. Those systems contribute different facts; none should silently substitute for another.
Explore the open-source components for presenting operations, approvals, progress, and results.
Explore DarwinUI
