GAIA
AMD's open-source AI agent framework for building intelligent agents that run 100% locally on AMD Ryzen AI hardware with hardware-accelerated performance.
At a Glance
Fully free and open-source under the MIT License. No usage limits, no subscriptions.
Engagement
Available On
Listed Apr 2026
About GAIA
GAIA is AMD's open-source framework for building intelligent AI agents that run entirely on-device using AMD Ryzen AI hardware. It eliminates cloud costs and keeps data private, making it suitable for air-gapped, HIPAA-compliant, and GDPR-friendly deployments. The framework supports Python and C++17, and includes a full agent UI, RAG system, voice integration, and MCP connectivity. Install via pip install amd-gaia and build your first agent in minutes using the quickstart guide.
- Agent Framework — Base class with tool orchestration, state management, and error recovery for building custom agents.
- 100% Local Execution — All inference runs on-device using AMD Ryzen AI NPU + iGPU; no API fees or usage limits.
- Privacy-First Design — Data never leaves your machine; suitable for healthcare, finance, and enterprise air-gapped environments.
- RAG System — Document indexing and semantic search supporting Q&A over 50+ file formats.
- Voice Integration — Whisper ASR and Kokoro TTS enable full speech interaction with local models.
- Vision Models — Extract text from images using Qwen3-VL-4B for multimodal workflows.
- MCP Integration — Connect agents to any MCP server for external tool access and extensibility.
- Plugin System — Distribute and discover agents via PyPI with auto-discovery support.
- C++ Framework — A C++17 port of the base agent framework for native applications without Python dependencies.
- Agent UI — Privacy-first desktop app with chat, file browser, document indexing, and tool execution.
Community Discussions
Be the first to start a conversation about GAIA
Share your experience with GAIA, ask questions, or help others learn from your insights.
Pricing
Open Source (MIT)
Fully free and open-source under the MIT License. No usage limits, no subscriptions.
- 100% local AI agent framework
- Agent UI desktop app
- RAG system with 50+ file formats
- Voice integration (Whisper ASR + Kokoro TTS)
- Vision model support
Capabilities
Key Features
- 100% local inference on AMD Ryzen AI hardware
- Agent base class with tool orchestration and state management
- RAG system with 50+ file format support
- Voice integration via Whisper ASR and Kokoro TTS
- Vision model support with Qwen3-VL-4B
- MCP server integration
- Plugin system with PyPI distribution and auto-discovery
- C++17 agent framework port
- Privacy-first desktop Agent UI
- Air-gapped and HIPAA/GDPR-friendly deployment
