iohann.s.titov@gmail.com Ivan S. Titov GAIA is AMD's open-source agent framework for local AI agents on Ryzen AI hardware (NPU + iGPU). It orchestrates LLM-driven workflows over any OpenAI-compatible inference endpoint, with built-in integrations for Docker, Jira, code-search, RAG, MCP servers, and Whisper / Kokoro voice pipelines. The reference local backend is Lemonade Server (sci-ml/lemonade); GAIA itself is hardware-agnostic so long as the upstream LLM API is OpenAI-compatible. Install FastAPI / uvicorn HTTP-server bindings (gaia.api) Pull sci-ml/pytorch for the gaia.audio module (Whisper ASR / Kokoro TTS prereq; upstream's audio extra also lists torchvision/torchaudio but gaia code never imports them) Install evaluation harness deps (anthropic, scikit-learn, reportlab) for gaia.eval benchmarks Pull dev-python/term-image for terminal-rendered image output (gaia.image) Install Model Context Protocol client/server support (gaia.mcp) Pull openai-whisper (ASR) + sounddevice (audio I/O) for gaia.talk's voice pipeline; the Kokoro TTS half is unavailable until that chain lands and is not pulled by this flag Build the gaia.ui web frontend (FastAPI + faiss-backed RAG over PDFs via PyMuPDF + sentence-transformers); requires +api amd/gaia amd-gaia