alt Hacker NewsDefinitely interesting, I hope all of this standardizes some day in the future, and if it's your protocol, great.
I have been following AlignTrue https://aligntrue.ai/docs/about but I think I like more your way of doing accountability and acting on thinking process instead of being passive. Apart from the fact that your way is a down-to-earth, more practical approach.
Great showcase live demo, however I would have liked a more in-depth showcasing of AAP and AIP even in this situation of multi-agent interactions, to understand the full picture better. Or simply perhaps prepare another showcase for the AAP and AIP. Just my two cents.
PS. I'm the creator of LynxPrompt, which honestly falls very short for this cases we're treating today, but with that I'm saying that I keep engaged on the topic trust/accountability, on how to organize agents and guide them properly without supervision.
Fair... Happy to do a deep dive on the protocols. FWIW, I'm dogfooding with an openclaw running smoltbot called Hunter S. Clawmpson. He blogs about AI from an AI's perspective: mnemom.ai/blog.
You can see his trace data live here: https://www.mnemom.ai/agents/smolt-a4c12709
The trace cards are all expandable and show you, in real time, what he's thinking/going to do, etc., and when violations are being caught. Turns out OpenClaw is extremely creative in finding ways to circumvent the rules. Voila AIP.
Busy day today, but this gives you a pretty deep dive/interactive view into the protocols in action. Cool thing about smoltbot... It's literally "smoltbot init" with the API key to the provider of your choice, and you can go to the website and claim your agent and (privately) see your traces running the same way. Very low impact dogfooding.