Building a Self-Improving Orchestration Layer for IoT Dashboards

May 26, 2026 · 6:22 AM UTC ·3 min read · 0 reactions · 0 comments · 33 views

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The article discusses the development of the Hermes Agent, an orchestration layer designed for IoT dashboards. It highlights how Hermes Agent improves upon traditional AI agents by incorporating a closed-loop learning system and a three-layer memory architecture. This innovation allows for more efficient management of decentralized data nodes and enhances the integration of IoT sensor data.

Key facts

▪Hermes Agent features a built-in closed-loop learning system that allows it to remember and reuse successful workflows.
▪The agent employs a three-layer memory architecture, which includes working memory, episodic memory, and procedural memory.
▪Hermes Agent decouples orchestration logic from model providers, allowing flexibility in execution environments.

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Original publisher	DEV.to (Top)
Canonical URL	https://dev.to/bibhupradhan/building-a-self-improving-orchestration-layer-for-iot-dashboards-1415
Publication time	Tue, 26 May 2026 06:22:29 +0000
Retrieval time	2026-05-26T06:37:45.433Z
Last seen	2026-05-26T06:37:45.433Z
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Opening excerpt (first ~120 words) tap to expand

try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3780777) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Bibhu Pradhan Posted on May 26 Building a Self-Improving Orchestration Layer for IoT Dashboards #hermesagentchallenge #devchallenge #agents #iot Hermes Agent Challenge Submission: Write About Hermes Agent This is a submission for the Hermes Agent Challenge: Write About Hermes Agent When mapping out the future roadmap for AirSense AI, the primary goal was to evolve the hyper-local air quality intelligence dashboard by integrating data directly from physical IoT sensors in specific…

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