amd-gaia
Lightweight agent framework for the edge and AMD Ryzen AI PCs
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.
homepage ↗ github: amd/gaia pypi: amd-gaia
Available in
| Overlay | Newest | Ebuilds | Last activity | |
|---|---|---|---|---|
| stuff GitHub ↗ | 0.22.0 | 2 | 2 d | details › |
Versions & arches
Use flags of 0.22.0
- +api Install FastAPI / uvicorn HTTP-server bindings (gaia.api)
- audio 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)
- +mcp Install Model Context Protocol client/server support (gaia.mcp)
- eval Install evaluation harness deps (anthropic, scikit-learn, reportlab) for gaia.eval benchmarks
- image Pull dev-python/term-image for terminal-rendered image output (gaia.image)
- talk 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
- ui Build the gaia.ui web frontend (FastAPI + faiss-backed RAG over PDFs via PyMuPDF + sentence-transformers); requires +api