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Looop – A tiny, portable, Kubernetes-shaped control loop for your LLM agent

Looop is a tiny, portable, Kubernetes-shaped control loop designed for LLM agents, offering a lightweight framework to manage and orchestrate agent workflows.

Background

Looop is a lightweight, Kubernetes-inspired tool that runs control loops for LLM-based agents. It uses a "desired state vs. actual state" reconciliation model (similar to Kubernetes controllers) to keep AI agents on task. This is part of the broader shift toward "agentic" AI systems that operate autonomously over time, rather than just answering single prompts. The project is by Yusuke Shibata, a known figure in the AI tooling space. It matters because it offers a simple, portable way to add structured, self-correcting behavior to LLM workflows without heavy infrastructure.

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Looop – A tiny, portable, Kubernetes-shaped control loop for your LLM agent

Background

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