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LoopX: A Control Plane for Long-Horizon Agents

LoopX, an open-source control plane for long-horizon AI agents, is gaining traction as a layer that runs on top of agent harnesses such as Codex, Claude Code, and Cursor. It preserves objectives, gates, todos, evidence, quota, and handoffs across turns, while the harness executes bounded work, functioning as an agent-native Kanban board. The project is designed for long-running agents but may be overkill for casual coding tasks.

read1 min views1 publishedSep 6, 2026

LoopX seems to be getting traction. Runs on top of Codex, Claude Code, Cursor, and other agent harnesses. LoopX preserves objectives, gates, todos, evidence, quota, and handoffs across turns; the harness executes bounded work.

The harness still does the work, one bounded turn at a time. LoopX keeps what needs to survive between those turns: the objective, the gates it must pass, the todo list, the evidence collected so far, how much budget is left, and the handoff to whoever acts next. The project describes it as an agent-native Kanban board. Cards carry identity, authority, evidence, and continuation, and a small set of moves decides who acts next: claim, gate, monitor, writeback.

This project has evolved quite a lot of concepts, useful for long-running agents. For casual coding tasks, it may be a bit overkill.

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