Runtime guardrails for Flue agents

[ishita-0301]

I like the idea of treating agents as programmable runtimes with skills, context, and built-in harnesses instead of just chat wrappers.

One thing I've found in longer-running workflows is that planning is rarely the biggest problem. It's execution. Agents can get stuck repeating the same tool call, retry a failing action indefinitely, or burn through tokens without making meaningful progress.

To explore this, I've been been looking at FailproofAI, an open source project focused on runtime reliability rather than orchestration. It adds execution guardrails like loop detection and policies that can help keep autonomous agents on track.

Repository: https://github.com/FailproofAI/failproofai

I think Flue's harness model and runtime safety layers complement each other well. Curious if anyone else is thinking about execution-time reliability as a first-class concern when building production agents.