{"repo":"ITSpecialist111/HASS-AI-Orchestrator","free":true,"listed":false,"github":"https://github.com/ITSpecialist111/HASS-AI-Orchestrator","clone":"git clone https://github.com/ITSpecialist111/HASS-AI-Orchestrator.git","description":"An autonomous multi-agent orchestration system for Home Assistant. Features local LLM control (Ollama/DeepSeek), & RAG-powered technical knowledge,","language":"Python","stars":58,"topics":["ai-agents","automation","home-assistant","llm","multi-agent-systems","ollama","rag","smart-home","home-assistant-ai-agents"],"license":null,"category":"ai-agents","readme_excerpt":"Graham's AI Orchestrator A reasoning and policy layer for the intelligent home Home Assistant is exceptionally good at representing devices, collecting state, and executing deterministic automations. Large language models are good at understanding intent, investigating ambiguous situations, and adapting a plan when the environment is unfamiliar. AI Orchestrator is an attempt to combine those strengths without allowing the model to become the safety system. It gives an AI model enough Home Assistant context to investigate a goal, but application code remains responsible for: - which tools exist; - whether arguments are valid; - which domains and services are allowed; - which operations need approval; - whether calls may run concurrently; - when retries are safe; - how long a run may continue; - what exact actions were approved; and - what is persisted for audit and later learning. The long-term goal is not another voice-controlled remote and not a chatbot bolted onto a dashboard. It is a policy-aware control plane for the home : a system that can observe, reason, propose, execute safely, verify outcomes, and gradually learn the way a particular home works. Model proposes. Code validates. Humans remain in control. Home Assistant executes. At a glance - Today: run local gemma4:e4b in Rapid, Balanced, or Deep mode; investigate live HA state; create exact plans; approve and replay actions; run proactive goals; recall prior episodes; and operate everything from a human-centred dash","default_branch":null,"files":null,"tree":[],"storefront":"/r/ITSpecialist111","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/ITSpecialist111/HASS-AI-Orchestrator/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}