This release is a pre-release and may not be stable for production use.
GAIA: Local AI Agents for AMD Ryzen AI
GAIA is AMD's open-source agent factory. It uses coding-agent skills, evals and an auto-fix loop to improve and build agent harnesses that run locally by default on AMD Ryzen AI hardware. Local inference keeps your data private, avoids cloud usage fees, and supports air-gapped deployment with hardware-accelerated performance.
Anyone can build an agent harness with GAIA. The GAIA agent is the one we built to show what it can do: conversation, documents, data, web, memory and skills in one agent.
| I want to... | Start here |
|---|---|
| Use GAIA: run the flagship agent in the desktop app or terminal | Install GAIA, then the GAIA agent guide |
| Build with GAIA: make an agent harness with skills, evals and the SDK | Composing skills, Agent evals, SDK reference |
The terminal UI also supports optional Fireworks AI and AMD LLM Gateway chat through Lemonade. Use /provider to connect and choose a model; cloud chat sends conversation history to the selected provider. See AI provider setup.
Download
One download for users: on Windows, one installer offers the desktop app, the terminal, or both. See Install GAIA for every platform, and its For developers section for script, pip/uv and source installs.
Note (Email agent): the Email agent installs with
gaia hub install email, which fetches a binary sidecar into your GAIA agents directory — no PyPI wheel and no Node.js toolchain required. An npm client is also published for embedding the agent in a JS/TS app.
Why GAIA?
| Feature | Description |
|---|---|
| Local Inference | Run models on your machine for sensitive workloads and air-gapped deployments |
| No Cloud Inference Fees | Local models require no API subscription; optional cloud providers have their own pricing |
| Privacy-First | HIPAA-compliant, GDPR-friendly—ideal for healthcare, finance, and enterprise |
| Ryzen AI Optimized | Hardware-accelerated inference using NPU + iGPU on AMD Ryzen AI processors |
Build with GAIA
The SDK is the base layer under the GAIA agent. A minimal harness is a class with a prompt and tools:
from gaia.agents.base.agent import Agent
from gaia.agents.base.tools import tool
class MyAgent(Agent):
"""A simple agent with custom tools."""
def _get_system_prompt(self) -> str:
return "You are a helpful assistant."
def _register_tools(self):
@tool
def get_weather(city: str) -> dict:
"""Get weather for a city."""
return {"city": city, "temperature": 72, "conditions": "Sunny"}
agent = MyAgent()
result = agent.process_query("What's the weather in Austin?")
print(result)
See the full quickstart guide →
Key Capabilities
- Agent Factory — Skills, an eval benchmark, and
gaia eval agent --fix, which patches failing scenarios and re-runs them (guide) - Agent SDK — Base class with tool orchestration, state management, and error recovery
- Agent UI — Privacy-first desktop app with chat, file browser, document indexing, and tool execution
- RAG System — Document indexing and semantic search for Q&A over 50+ file formats
- Voice Integration — Whisper ASR + Kokoro TTS for speech interaction (P0 enabling technology)
- Vision Models — Extract text from images with Qwen3-VL-4B
- MCP Integration — Connect to any MCP server for external tool access
- Skills — Extend the GAIA agent with a
SKILL.md, no code required (guide)
C++ Framework
A C++17 port of the GAIA base agent framework is available under cpp/. It implements the same agent loop, tool registry, and MCP client interface without any Python dependency — suitable for embedding in native applications or resource-constrained environments.
#include <gaia/agent.h>
class MyAgent : public gaia::Agent {
protected:
std::string getSystemPrompt() const override {
return "You are a helpful assistant.";
}
};
C++ build and usage instructions →
Quick Install
pip install amd-gaia
For complete setup instructions including Lemonade Server, see the Quickstart Guide.
System Requirements
| Requirement | Minimum | Recommended |
|---|---|---|
| Processor | AMD Ryzen AI 300-series | AMD Ryzen AI Max+ 395 |
| OS | Windows 11, Linux | - |
| RAM | 16GB | 64GB |
Documentation
- Quickstart — Install GAIA and build a first harness in 10 minutes
- SDK Reference — Complete API documentation
- Guides — Chat, Voice, RAG, and more
- FAQ — Frequently asked questions
Releases
See the full Release Notes on the documentation site, or browse GitHub Releases.
Release Process
To publish a new release (e.g. v0.17.0), create a release PR that updates these 3 files:
| # | File | What to change |
|---|---|---|
| 1 | src/gaia/version.py |
Set __version__ = "0.17.0" |
| 2 | docs/releases/v0.17.0.mdx |
Create release notes (see format guide) |
| 3 | docs/docs.json |
(a) Add "releases/v0.17.0" to the Releases tab pages array, (b) update the navbar label to "v0.17.0 · Lemonade X.Y.Z" |
Then merge and tag:
git tag v0.17.0 && git push origin v0.17.0
CI validates all three files are consistent with the tag before publishing to GitHub Releases and PyPI.
Contributing
We welcome contributions! See our Contributing Guide for details.
- Build agents in your own repository using GAIA as a dependency
- Improve the framework — check GitHub Issues for open tasks
- Add documentation — examples, tutorials, and guides
Contact
- Email: gaia@amd.com
- Discord: Join our community
- Issues: GitHub Issues
License
Copyright(C) 2024-2026 Advanced Micro Devices, Inc. All rights reserved. SPDX-License-Identifier: MIT
1 maintainer
Metadata
1 maintainer
Release files for amd-gaia 0.25.0rc14
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| amd_gaia-0.25.0rc14.tar.gz | 3.2 MB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| amd_gaia-0.25.0rc14-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.7 MB
Release files / amd_gaia-0.25.0rc14.tar.gz
| Download URL | amd_gaia-0.25.0rc14.tar.gz |
|---|---|
| Size | 3.2 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
4c2537f0f5c391975b0cdd96558df12cb1ec8db58ad01530416423eb43b50acc
|
|
BLAKE2b-256 checksum How to use checksums |
6483f8eae378c23e8e86a3e645032898d8e411c715e7d3963da3ac5e2e6ebe08
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / amd_gaia-0.25.0rc14-py3-none-any.whl
| Download URL | amd_gaia-0.25.0rc14-py3-none-any.whl |
|---|---|
| Size | 3.4 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e5f9ab3550f6502a34c4f4152dd6573f777c7344f93a0efa38073612bc97c833
|
|
BLAKE2b-256 checksum How to use checksums |
031768b03a8fb4237301a197bbb72f72915803ef598c10257681d22ca2f56e97
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logSecurity for amd-gaia 0.25.0rc14
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for amd_gaia-0.25.0rc14.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
