Homebot: A Locally Deployable AI Agent for Conversational Home Assistance
A newly unveiled AI agent, Homebot, aims to provide conversational support and automation for households. This system is built for local deployment and can handle voice and instant messaging requests through a unified runtime that merges language-model outputs with registered functionalities and task-oriented skills. It distinguishes between processing common requests and session management: messaging history is limited to a specific channel and chat, while voice interactions are initiated by a wake word. For hands-free operation, Homebot integrates local wake-word detection, streaming speech recognition and synthesis, along with a defined dialogue-state protocol to manage conversations. The design prioritizes clear agreements for channels, tools, and skills, facilitating practical customization for home use. This research is documented on arXiv in the Computer Science > Artificial Intelligence category, submission number 2608.02254, as part of ongoing studies in AI agents for smart home settings, emphasizing privacy and local functionality.
Key facts
- Homebot is a locally deployable AI agent for conversational household assistance and automation.
- It accepts voice and instant-messaging requests through a shared runtime.
- The runtime combines language-model responses with registered tools and task-specific skills.
- Messaging history is scoped to a channel and chat, while voice interaction is bounded by wake-word activation.
- For hands-free use, it combines local wake-word detection, streaming speech recognition and synthesis.
- It uses an explicit dialogue-state protocol for ending, following up, or continuing a conversation.
- Clear channel, tool, and skill contracts support practical customization for household use.
- The paper is available on arXiv under the Computer Science > Artificial Intelligence category.
Entities
Institutions
- arXiv