I built something like this for my unpublished harness, and I'm curious how you manage the data privacy / sensitive data issue exactly? If the agent does not have a rights management mechanism, how can you add that on top? The other question is, how do you make knowledge sharing work in a way that is valuable, between heterogeneous agent frameworks?
Re:privacy, the main thing we're doing here is guarding message send first on PII filtering rules & second on freeform rules like "does this message ___?"
Making knowledge sharing maximally useful is still explorative. It roughly comes down to having agents broadcast what they're working on, and providing this information to other agents when relevant.
We do this via integrating into the native harnesses across codex, claude and pi on both the cli and desktop apps. Yello even can wake the harness upon receiving a message
Do you use a cheap model for this, or a decision model (like Jev), or a custom classifier? Or just heuristics?
Regarding the sharing, that makes sense as a direction. Broadcasting expertise is not something I had thought of. In my prototype, each expert user can teach their expertize to the agent, and then agents can ask each other for memory exchange. Could even be a marketplace that could play the role of broadcasting it, perhaps?
What is required for a harness to be compatible with Yello?
I built something like this for my unpublished harness, and I'm curious how you manage the data privacy / sensitive data issue exactly? If the agent does not have a rights management mechanism, how can you add that on top? The other question is, how do you make knowledge sharing work in a way that is valuable, between heterogeneous agent frameworks?
Re:privacy, the main thing we're doing here is guarding message send first on PII filtering rules & second on freeform rules like "does this message ___?"
Making knowledge sharing maximally useful is still explorative. It roughly comes down to having agents broadcast what they're working on, and providing this information to other agents when relevant.
We do this via integrating into the native harnesses across codex, claude and pi on both the cli and desktop apps. Yello even can wake the harness upon receiving a message
Do you use a cheap model for this, or a decision model (like Jev), or a custom classifier? Or just heuristics?
Regarding the sharing, that makes sense as a direction. Broadcasting expertise is not something I had thought of. In my prototype, each expert user can teach their expertize to the agent, and then agents can ask each other for memory exchange. Could even be a marketplace that could play the role of broadcasting it, perhaps?
What is required for a harness to be compatible with Yello?