lucascs@protonmail.com Lucas C.S. GAIA is AMD's agent framework for machines that run their models locally. It provides the CLI (gaia, gaia-cli), an MCP bridge (gaia-mcp), a chat and agent runtime, a RAG pipeline and a browser UI, and it drives all of them through an OpenAI-compatible HTTP endpoint. GAIA does not perform inference itself and contains no acceleration backend: it is a client. The server it is designed against is Lemonade (sci-ml/lemonade in this overlay), which is what reaches Ryzen AI NPU and iGPU hardware; any other OpenAI-compatible endpoint works too. Because the model is reached over HTTP and the code is pure Python, nothing in this package is architecture specific. Upstream ships a long list of optional extras. Only the ones whose every dependency is already packaged are exposed as USE flags here; the rest are documented, with the missing package named, in a comment in the ebuild rather than silently dropped. The browser UI bundle under gaia/apps/webui/dist is shipped pre-compiled by upstream and is installed as-is — this package needs no npm or Node.js at build time. Pull in dev-python/fastapi, dev-python/uvicorn and dev-python/httpx, required by the local REST server (the "gaia api" command) and by the browser UI it serves amd/gaia amd-gaia https://github.com/amd/gaia/issues https://github.com/amd/gaia/blob/main/README.md https://github.com/amd/gaia/releases