This page is designed to help you find out whether AI-2 is good and if it is the right choice for you.
AI-2 does not turn a computer away for being old or slow. At first login a setup wizard detects the hardware, assigns a capability tier, tunes the system for it (zram, earlyoom, MGLRU, no idle suspend), installs the matching AI engine (three llama.cpp builds, so CPUs without AVX or SSE4.1 work), downloads a fitting model and measures a 0 to 100 AI Score on a fixed workload. The recommendation comes from measured speed, not from RAM size.
ai-2 chat starts the local AI and opens a chat page in the browser. The same server exposes an OpenAI-compatible API on localhost for other programs and stops itself when idle.
Lean by design. The 1.85 GB image ships the desktop (XFCE), a browser, a text editor and the AI engine. Anything else is one pacman command away.
Requirements. 64-bit PC, 2 GB of RAM minimum (4 GB recommended), about 6 GB of disk, BIOS or UEFI. Internet is not needed to install, only for models and updates.
Privacy. Nothing leaves the machine. No account, no telemetry. An online model is used only if you explicitly choose one.
Based on Artix Linux (runit init, rolling release). Free software, MIT. Source, bug reports and downloads on GitHub: https://github.com/ProWoos-Devs/ai-2
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It is built for the computers everyone else writes off. AI-2 measures what a machine can really do, a 0 to 100 AI Score from a fixed workload, and recommends models from that measurement instead of from RAM size. It ships three builds of the AI engine and picks the one the CPU can execute, so laptops without AVX or SSE4.1 work. And it is a complete system, not an app, the tuning (zram, earlyoom, MGLRU, no idle suspend) is part of the install.
Ollama, LM Studio, GPT4All and Jan are applications you install on a system you already have and they assume a reasonably modern machine. AI-2 is the system. Boot the stick on a 2011 laptop with 4 GB, install, and the setup wizard does the rest at first login. Nothing leaves the machine, there is no account and no subscription, and the image is lean on purpose (1.85 GB).
People with an older or modest PC who want a private AI assistant without buying new hardware or paying for a cloud service. Also anyone who wants a local OpenAI-compatible API on an old machine for their own programs.
I run a WordPress and WooCommerce agency and had a 2011 laptop in a drawer. The claim that old hardware cannot run AI turned out to be wrong, it just needs the right build of the engine, a small model and an honest measurement of what to expect. AI-2 packages that into a system anyone can install. It is developed in the open on GitHub and tested on that laptop first.
Artix Linux (Arch without systemd, runit init), XFCE, llama.cpp as the inference engine (CPU builds for three instruction-set classes), GGUF models such as Qwen2.5 and Gemma 3, Calamares as the installer, Python for the ai-2 tool, a signed pacman repository for updates.
AI-2 is free and has no customers to name
We have collected here some useful links to help you find out if AI-2 is good.
Check the traffic stats of AI-2 on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of AI-2 on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of AI-2's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of AI-2 on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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