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LoopX: A Control Plane for AI Agents That Have to Keep Working for Days

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Control plane for long-running AI agents, directly matches multi-agent orchestration interest.

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LoopX: A Control Plane for AI Agents That Have to Keep Working for Days
Summary

LoopX is a local control plane for long-running AI agents that preserves state across bounded execution loops, addressing the failure mode where agents lose context after extended sessions. It separates concerns by letting tools like Codex or Claude Code execute individual loops while LoopX manages durable goals, user gates, todo ownership, quotas, and run history as a state kernel with a CLI. The project requires only Python 3.11+ and standard library dependencies, with a curl-based installer that avoids git cloning.

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