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Install this package:

emerge -a sci-ml/amd-gaia

Package Information

Description:

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:

https://github.com/amd/gaia

License:

MIT

Versions

Metadata

Description

• 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.

Maintainers

• Ivan S. Titov (iohann.s.titov@gmail.com) - Type: person

Upstream

• Remote IDs:
  • github: amd/gaia
  • pypi: amd-gaia

<pkgmetadata>
	<maintainer type="person">
		<email>iohann.s.titov@gmail.com</email>
		<name>Ivan S. Titov</name>
	</maintainer>
	<longdescription lang="en">
    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.
  </longdescription>
	<use>
		<flag name="api">Install FastAPI / uvicorn HTTP-server bindings (gaia.api)</flag>
		<flag name="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)</flag>
		<flag name="eval">Install evaluation harness deps (anthropic, scikit-learn, reportlab) for gaia.eval benchmarks</flag>
		<flag name="image">Pull dev-python/term-image for terminal-rendered image output (gaia.image)</flag>
		<flag name="mcp">Install Model Context Protocol client/server support (gaia.mcp)</flag>
		<flag name="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</flag>
		<flag name="ui">Build the gaia.ui web frontend (FastAPI + faiss-backed RAG over PDFs via PyMuPDF + sentence-transformers); requires +api</flag>
	</use>
	<upstream>
		<remote-id type="github">amd/gaia</remote-id>
		<remote-id type="pypi">amd-gaia</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

• [Error] Missing md5-cache for ebuild amd-gaia-0.19.0
• [Error] Missing md5-cache for ebuild amd-gaia-0.18.1
• [Error] Missing md5-cache for ebuild amd-gaia-0.17.6

USE Flags

Manage flags for this package: euse -i <flag> -p sci-ml/amd-gaia | euse -E <flag> -p sci-ml/amd-gaia | euse -D <flag> -p sci-ml/amd-gaia

Manifest