[mizioand]

A lot of people coming up with these tools to orchestrate agents to do a one-shot implementation in a sandbox (in a server/container/pipeline).

I also have a similar - yet different approach - with a Mother Agent (MoMa) planner-reviewer-implementer multi agent pattern that orchestrates a feedback loop using Claude memory between agents.

https://news.ycombinator.com/item?id=47437012#47437013

I understood that you have a Judge agent that evaluates independent subagent solo executions and chooses best solution based on ralph algorithm. Did you play with limits on how many solo agents it is sufficient to spawn vs. not getting a better solution? and what is the limit of soloagent solutions that the Judge can compare? (obviously must depend on the complexity and context cost of a solution)