cl0ud6uru

HestiaClaw — AI skill for Claude Code

AI community

The AI that remembers, learns, and actually does things in your Home Assistant environment.

How to install HestiaClaw

This entry records only its repository, not the path inside it, so there is no exact command to give. Open cl0ud6uru/HestiaClaw and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What HestiaClaw does

The AI that remembers, learns, and actually does things in your Home Assistant environment.

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README

HestiaClaw

**Hestia** is a self-hosted smart home AI assistant built around Home Assistant. She runs entirely on your own infrastructure — no cloud middleman, no subscription, no data leaving your server unless you choose it. Talk to her in the browser, ask about your home, trigger automations, and watch her build a persistent memory of your world through a live 3D knowledge graph.

Under the hood: a React + Vite frontend, an Express agent harness, real-time token streaming, a layered memory system (pinned facts + Graphiti long-term graph), MCP tool support, voice I/O, and a skills system for custom behaviors.

*Home Environment Systems Technology Intelligence Assistant*

Features

Native agent harness — built-in agent loop with multi-provider LLM support: Anthropic Claude, OpenAI / GPT, or any OpenAI-compatible endpoint (Ollama, LM Studio, etc.)
Home Assistant integration — 87+ HA tools via ha-mcp; control devices, query entities, trigger automations, and check states directly from chat
HA Assist voice integration — connect Home Assistant's Assist voice pipeline directly to Hestia via the webhook-conversation integration; voice sessions appear in the sidebar alongside regular chats
Layered memory system — pinned facts file (MEMORY.md) + per-turn Graphiti recall + long-term knowledge graph; memories are promoted, consolidated, and pruned automatically each night
MCP tool support — connect any MCP server in agent.config.json; tools are auto-registered and immediately available to the LLM
Skills system — drop SKILL.md files into skills/ to define custom agent behaviors; invoke with /skill-name or let the model pick them up automatically
3D knowledge graph — full-screen force-directed visualization of the Graphiti/Neo4j memory graph, with community coloring, degree sizing, and one-click GDS recompute
Runtime provider & model switching — swap be