Interesting premise — agree that agents need runtime infrastructure, not just frameworks.

  One dimension we've been exploring: runtime governance. Even with a good runtime, agents can fabricate compliance
  records, silently drop tasks, or escalate privileges through delegation chains.

  We built Y*gov (github.com/liuhaotian2024-prog/Y-star-gov) — a deterministic enforcement layer that sits between
  agents and tools. check() runs in 0.042ms, no LLM in the enforcement path. We run our entire company on it (5 AI
  agents, 1 human).

  The runtime conversation should include: what happens when the agent does something it shouldn't?