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LoopX Control Plane for Long-Running Work

Durable state, governed turns, and honest recovery

9 chapters103 min total
Keywords
LoopXagentsGoalTodoevidenceauthoritymonitorsbackoffprovidersrecovery
Overview

LoopX is a provider-neutral control plane for long-running agent work. The series moves from durable Goal state and work graphs to governed turns, accountable checkpoints, monitors, backoff, replanning, self-repair, and domain extensions. Its central thesis is that continuity comes from owned identity, scoped authority, fresh evidence, validated writeback, and explicit next states—not from preserving a transcript or maximizing activity. LoopX can make lifecycle reliability inspectable across sessions, agents, hosts, and external systems, but it cannot guarantee model quality, domain correctness, or safe autonomous production.

Learning outcomes
  • LoopX preserves a Goal, work frontier, authority boundaries, evidence, and next legal transition beyond a session.
  • A runnable Todo requires more than open status: dependencies, scoped authority, capability, workspace, claims, and freshness also matter.
  • Validated writeback precedes quota accounting; waiting and unchanged monitor polls are not delivery progress.
  • Public evidence supports evaluating LoopX's control-plane design and bounded use cases, not general intelligence or production autonomy.
Keywords
LoopXagentsGoalTodoevidenceauthoritymonitorsbackoffprovidersrecovery

Chapters

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FAQ

What does the LoopX control plane do for long-running agents?

LoopX preserves a project-owned Goal, filters runnable work, governs bounded turns, and records evidence and next state across sessions.

When is LoopX worth using instead of a normal agent session?

LoopX is worth the added state and contracts when work crosses sessions, waits for external results, changes owners, or needs scoped authority and recovery. Small, closed tasks that are cheap to redo may need only a normal session.

How does LoopX handle waiting and stalled work?

LoopX represents external waiting with a target, due time, evidence, and termination condition, then uses backoff; stalled work is classified as waiting, retry, replan, self-repair, blocking, or closure.

What can LoopX prove about agent reliability?

LoopX can make lifecycle control, attribution, evidence, writeback, and recovery inspectable; it cannot by itself prove that a model chose the best route or that a domain result is correct.