Local-first AI
Install compatible runtimes and model files only when you choose. Keep local services on loopback by default and understand every download.
GenixBit OS is an Ubuntu-based Linux distribution being built for developers, application creators, server managers, video professionals, AI learners, and teams that want local models, agents, modern tooling, and transparent control.
$ genixbit-ai doctor ✓ CPU detected ✓ 32 GB system memory ✓ NVIDIA GPU available ! AI Center not installed yet $ genixbit-models recommend --task code Recommended profile: Developer • compact local coding model • optional reasoning model • loopback-only model API • no cloud key configured $ genixbit-agents list Source: GenixBit/agency-agents Tools: Antigravity, Gemini CLI, Codex, Cursor, OpenCode and more Status: planned OS integration $ cat /etc/os-release NAME="GenixBit OS" VERSION="0.1.0-alpha" Preview only — runtime branding package pending
AI is a platform capability, not a mandatory cloud service. GenixBit OS is planned to combine a dependable Linux base with optional local models, agent workflows, creator tools, server tooling, and first-class development environments.
Install compatible runtimes and model files only when you choose. Keep local services on loopback by default and understand every download.
Modern languages, containers, terminals, IDEs, APIs, agents, and repeatable project environments without hiding the underlying system.
No fake active backends, no hidden credentials, no silent model pulls, and no unverified performance claims.
Ubuntu packages, Flatpak applications, GenixBit packages, official vendor channels, and a future curated GenixBit Store.
Run headless services, containers, internal AI endpoints, databases, automation, monitoring, and secure remote operations.
Video, audio, graphics, 3D, streaming, transcription, captioning, and AI-assisted asset workflows on suitable hardware.
Code, test, containerize, evaluate models, install agent profiles, and ship applications.
Start with hardware-aware model choices and guided projects instead of confusing setup steps.
Operate services, local APIs, monitoring, backups, and controlled remote environments.
Edit, transcode, stream, caption, transcribe, and organize creative assets.
The planned GenixBit AI Center will classify models by source, terms, task, language, storage, RAM, VRAM, runtime, and verification status. Model weights will not be silently bundled into the ISO.
GenixBit’s Indian-language model program. Architecture work is active; production checkpoints will be listed only after training and evaluation.
Google open-weight family for compact, multilingual, and multimodal development under Google’s model terms.
Apache-2.0 open-weight family from Alibaba for coding, agents, general assistance, and multilingual applications.
Reasoning models and distilled variants with upstream and base-model terms displayed before installation.
Compact Apache-2.0 models suitable for local and enterprise-oriented application experiments.
Use supported GGUF, container, Ollama, or server runtimes when licensing and hardware requirements are satisfied.
The website is a product preview. The ISO download remains disabled until Ubuntu amd64 build, boot, installer, and installed-system validation are complete.