An Alien Mind Needs a Control Plane: help shape LOCO #7
ArielSmoliar
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Agent systems are gaining longer horizons, more tools, and more freedom to delegate. Orchestrators decide what agents should do. Independent monitors can estimate whether a trajectory looks suspicious. Infrastructure can contain where code runs.
What turns those inputs into coordinated, fleet-wide action?
LOCO is exploring a specific answer: a provider-independent control plane that decides whether eligible work runs now, later, with less capacity, under review, or not at all.
What exists today
LOCO is an open-source Python scheduling and cost-governance layer. It provides bounded concurrency, backpressure, policy checks, budget enforcement, cost attribution, and load-conscious dispatch across seven agent frameworks and providers.
Its core invariant is that authorization determines eligibility before scheduling begins. Queue depth, age, cost, trust, or adaptive tuning must never turn denied work into eligible work.
What remains open
The monitoring-aware control plane is a research direction. LOCO does not determine whether a model is aligned, replace sandboxing or network isolation, or act as the only kill switch.
The architecture we want to pressure-test is:
Questions for collaborators
Ways to participate
The goal of this discussion is not agreement. It is to find the boundary between a useful fleet control plane and security claims the system cannot support.
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