# autonomous-ai/autonomous-computer

Own your compute, own your intelligence. Time to build your Personal AI Data Center.

Repository: https://github.com/autonomous-ai/autonomous-computer
Canonical: https://ross.abutalabs.com/products/autonomous-computer
Homepage: https://autonomous.ai/computer
License: MIT
License Family: permissive
Topics: homelab, local-ai
Last push: 2026-08-21T11:07:50+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 35, longevity 26
- inputs: {"age_days": 376, "days_push": 12, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1330, forks 163 (observed 2026-08-28T04:04:23.859680+00:00)

## What it is
An open-source hardware project providing complete build guides (parts lists, CAD, BIOS settings, assembly photos) for Personal AI Computer workstations built around NVIDIA RTX 5090 GPUs for local LLM inference. It pairs with open-source local AI software stacks like Ollama, vLLM, llama.cpp, or the companion Grid orchestrator.

## Use cases
- build a local AI workstation with RTX 5090s
- run LLMs on-premises without cloud API costs
- set up a homelab AI datacenter
- own my AI compute instead of renting tokens
- assemble a DIY GPU inference machine
- host private AI models so data never leaves my network

## When to choose
- you want a fully documented DIY path to a multi-GPU local inference machine
- you need on-prem AI for privacy or to avoid per-token API billing
- you want open hardware you can repair and modify

## When to avoid
- you want a plug-and-play appliance rather than sourcing and assembling parts yourself
- your budget cannot absorb thousands of dollars in GPUs and components
- you only need occasional lightweight inference a laptop with Ollama can handle

## Facets
- artifact type: learning-resource
- maturity: active
- function: llm-inference, self-hosted, gpu-computing
- domain: large-language-models, self-hosted, hardware, artificial-intelligence
- platform: self-hosted
- tags: open-source-hardware, homelab, local-ai, diy-build-guide, personal-ai-datacenter, rtx-5090, on-prem-inference, gpu, linux

## Member repositories
- autonomous-ai/autonomous-computer (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:23.859680+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:45:30.302283+00:00, confidence not recorded.
  - readme: https://github.com/autonomous-ai/autonomous-computer (fetched 2026-08-28T04:04:23.859680+00:00, sha 2dfd582be805)
  - homepage: https://autonomous.ai/computer (fetched 2026-08-29T12:04:52.670334+00:00, sha 11d561c4609e)
- Data as of 2026-08-30T08:39:29.467469+00:00.