HearthNet: Edge Multi-Agent Orchestration for Smart Homes
Zhonghao Zhan, Krinos Li, Yefan Zhang, Hamed Haddadi

TL;DR
HearthNet is an edge multi-agent orchestration system for smart homes that uses persistent, role-specialized LLM agents to manage devices through event-driven coordination, externalized context, and separation of concerns.
Contribution
The paper introduces HearthNet, a novel edge multi-agent system that externalizes context and separates planning, verification, and actuation for resilient smart-home control.
Findings
Prototype runs on commodity hardware and Android devices.
Demonstrates intent-driven multi-agent coordination from natural language.
Handles conflict resolution and rejects stale commands effectively.
Abstract
Smart-home users increasingly want to control their homes in natural language rather than assemble rules, dashboards, and API integrations by hand. At the same time, real deployments are brittle: devices fail, integrations break, and recoveries often require manual intervention. Existing agent toolkits are effective for session-scoped delegation, but smart-home control operates under a different scenario: it is persistent, event-driven, failure-prone, and tied to physical devices with no shared context window. We present HearthNet, an edge multi-agent orchestration system for smart homes. HearthNet deploys a small set of persistent, role-specialized LLM agents at the home hub, where they coordinate through MQTT, Git-backed shared state, and root-issued actuation leases to govern heterogeneous devices through thin adapters. This design externalizes context, preserves execution history,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
