LoopX is an open, local-first control plane designed to manage long-horizon tasks for autonomous agents and multi-agent teams. Unlike standard orchestration runtimes, LoopX acts as an "agent-native Kanban," maintaining a durable kernel of objectives, gates, todos, and evidence that persists across sessions and different runtimes such as Codex, Claude Code, and DeepSeek Harness. The system functions by governing the state between agent turns, using a "claim-update-spend" cycle to manage ownership, task boundaries, and resource quotas. This ensures that progress, decision lineages, and verified evidence remain intact even when switching providers or recovering from restarts. In performance benchmarks using the Long-Horizon Terminal-Bench (LHTB) with GPT-5.6 Sol, LoopX 1.0.3 Heartbeat achieved a mean reward of 0.4948 across 46 tasks, representing a 17.3% improvement over Plain Codex and a 10.6% increase over native Codex Goal. The architecture separates the execution layer (agents/providers) from the governance layer (capabilities/kernel), allowing for complex workflows like issue-fix loops, scientific simulations, and peer-to-peer agent collaborations while keeping humans in the loop through explicit, typed decision gates.