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loopx
by loopx-project
Local-first control plane for long-running personal and multi-agent workflows
Python
Updated Oct 7, 2026
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What It Does
Coordinates long-running personal agents and agent teams with a local-first control plane. Persists goals, decisions, and work across sessions so agents can resume context and maintain long-horizon state. Includes workflow primitives and history tracking to make agent behavior auditable and continuous.
Why It Matters
As agents operate for longer horizons and hand off work, knowing what happened and why is essential for trust and debugging. LoopX makes agent decisions, goals, and state first-class artifacts so teams can reconstruct agent behavior and measure reliability over time. That persistent control plane helps surface agent track records and failure modes instead of losing context between sessions. This is why agent track records matter for reliability.
Target Use Cases
Developers and teams building persistent, long-horizon agent workflows who need session continuity, auditability, and orchestration.
Use Cases
- Persist agent goals and decisions so personal agents can resume work across sessions
- Coordinate multi-agent workflows that require long-horizon state and handoffs
- Audit and reconstruct agent behavior to diagnose failures and measure reliability
Works With
openaianthropic
Topics
agent-control-planeagent-harnessai-agentsclaude-codecodexdsh-pluginlocal-firstlong-horizon-agentsloop-engineeringmulti-agent+2 more
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Keywords
multi-agent trustagent track recordmulti-agent orchestration