LoopX Offers State Management Layer to Keep AI Agents on Track Over Long Runs

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LoopX is an open-source, local control plane designed to address a core failure mode in long-running AI coding agents: loss of context, goals, and accountability across extended sessions. Rather than replacing agent runtimes like Codex, Claude Code, or Cursor, it sits above them as a state kernel, preserving goals, decisions, run history, and task ownership between discrete bounded loops. Key features include durable lifetime goals, user-gated decision checkpoints, todo ownership tags for multi-agent coordination, and a quota system to prevent wasteful automated turns. The tool also performs public/private boundary checks to prevent sensitive data from leaking into published outputs. LoopX requires only Python 3.11 or later with no external runtime dependencies, and is available for macOS and Linux via a shell install script.

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