AMD has released GAIA, an open-source framework designed for building AI agents in Python and C++ that execute entirely on local hardware. The framework operates without cloud dependency, ensuring no data leaves the device.
The core architecture supports local inference, keeping all processing on-device. GAIA requires no API keys or external services, and is optimized for AMD hardware with NPU and GPU acceleration available on Ryzen AI processors.
The SDK provides full implementations in both Python and C++. The Python interface allows developers to import agent functionality and process queries locally, while the C++ implementation enables building native C++17 agent binaries without requiring a Python runtime.
GAIA includes an Agent UI installable via npm that provides privacy-first desktop chat with drag-and-drop document question-answering capabilities. The framework supports document Q&A through retrieval-augmented generation, allowing agents to index and answer questions over local PDFs, code, and text files.
Additional capabilities include speech-to-speech interaction using Whisper ASR and Kokoro TTS for offline voice processing, multi-file code generation with validation and testing, and multi-modal image generation with LLM prompt enhancement. The framework integrates with the Model Context Protocol (MCP) to connect agents to external tools and includes a system health agent for CPU, memory, disk, network, and GPU monitoring.
Developers can build custom agents in C++17 with tool registration and state management capabilities. The framework also provides a Wi-Fi troubleshooting tool that diagnoses and resolves wireless connectivity issues using registered tools.
Documentation, source code, and technical specifications are available through the official GAIA SDK site. The project maintains an active community presence on Discord.