I hope that people will be able to build agents in a way that makes deliberate methodical progress towards them successfully executing given tasks. Part of this could be tracing alone, which is something that I explored using opentelemetry on my own agents. But I found that I wanted to be able to understand the specific structure of the agent as I iterated on it as well. So Chidori attempts to allow you to do that, while having some properties that I feel assist with managing complexity!

Agents that work 80-90% of the time rather than 30-40% of the time would be awesome. And I think part of that is being able to iterate on specific pieces of the agent's behavior in a deliberate way.

It's definitely a reference to it! It also broadly does mean thousand birds.

The discord server linked from the github would work! I'd love to find out what the specific questions are. Alternatively twitter DM would also work @kveykva.