Ross ROSS = Recommend OSS · open-source software intelligence for agents

amd/gaia

Build AI agents for your PC observed · 2026-10-20

github.com/amd/gaia · homepage · Python · MIT (permissive) observed · 2026-10-20

Health v2 · maintenance only

90/100

  • Activity 100
  • Release rhythm 100
  • Longevity 48
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-22. Adoption (stars, forks) is never an input.

  • gap_med: 7.0
  • age_days: 675
  • days_rel: 3
  • days_push: 2
  • n_releases_24m: 49

Full methodology

Adoption not part of the score

1587 stars · 177 forks observed · 2026-10-20

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

GAIA is AMD's open-source Python framework for building AI agents that run entirely locally on AMD Ryzen AI hardware, using NPU and iGPU acceleration. It includes a CLI, TUI, and SDK for creating privacy-first agents without cloud dependencies.

Use cases

  • build ai agents that run locally on my pc
  • run llm agents offline without cloud api costs
  • deploy ai agents in air-gapped environments
  • build privacy-first chatbot for sensitive data
  • use amd ryzen ai npu for local inference
  • create local ai assistant for healthcare or finance

When to choose

  • you have AMD Ryzen AI hardware and want hardware-accelerated local inference
  • privacy, compliance (HIPAA/GDPR), or air-gapped deployment rules out cloud APIs
  • you want zero ongoing cloud costs for agent workloads

When to avoid

  • you don't have AMD Ryzen AI hardware
  • you need cloud-scale models or multi-cloud provider support
  • you need a battle-tested framework with a large ecosystem like LangChain

Facets

framework · maturity active

agent-framework llm-inference cli chatbot large-language-models privacy developer-tools windows python local-llm ryzen-ai npu on-device-ai air-gapped amd ai-agents linux macos desktop

2 sources

Member repositories

RepositoryRoleHealth v2
amd/gaiamain90

For agents

markdown · JSON · MCP: product_card(name="amd/gaia")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem