LCRK proposes a passive agent runtime where the model, not a planner, decides the next action
Artreju · reddit · 2026-10-10
The author introduces LCRK (LIA Cognitive Runtime Kernel), questioning whether autonomous agents need an external decision layer.
- Typical setups follow: goal → prompt/planner → framework decision layer → tool call → next task.
- LCRK keeps infrastructure passive: it detects real events (new memories, file changes, situational shifts), updates a persistent inner state, and exposes tools — but never assigns the next task.
- Acting, choosing what to do, or doing nothing are all valid outcomes; self-initiated wake-ups and quiet periods are supported, bounded only by timing rules and safety limits.
- Tool results, including errors, are returned raw for the model to interpret. No LangChain, CrewAI, or AutoGen; the system prompt describes the situation and tools rather than prescribing goals or roles.
- Limitations include occasionally misfiring phrase-based command recognition. Source code is not public; an architecture diagram and comment-thread Q&A are provided.
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