Start with local chat
Linux x86_64, 16 GB RAM and at least 20 GB free disk are the documented baseline. Install Ollama and your models separately. CPU-only chat works; see measured speeds.
Featured product · v0.4.3
Your Linux desktop
AI workspace
Arynwood MCP brings local language models and creative services into one desktop interface. Start with Ollama chat, then add the services your workflow needs. The Linux x86_64 alpha is available as an AppImage or Debian/Ubuntu .deb.
- Multi-persona chat and Ollama model management
- Knowledge search and memory retrieval with Qdrant and Ollama
- A design canvas, with image generation through a separate A1111 service
- Optional music and audio tools through separately installed MusicStudio sidecars
- Model Context Protocol (MCP) tools, including Kdenlive editing through Cutroom’s MCP server
Hard launch · Private preview
Arynwood Community
A private home for messages, mail, shared calendars, household lists, boards, and organized thoughts. Keep your community on your own host.
Before you install
One workspace.
Add the tools you need.
This is alpha software. Choose a small starting workflow, check the requirements, and expand from there.
Add creative services
Image generation and other GPU features need their own services and an NVIDIA GPU. The project recommends at least 12 GB VRAM for practical GPU use. Music tools need MusicStudio; knowledge search needs Qdrant.
Know the alpha limits
v0.4.3 does not include IRC or end-to-end encrypted messaging. LoRA training, script-based GPU tools and the project file browser require a source checkout and are unavailable in the packaged app. Windows and macOS are unsupported.
You
Add cross-dissolves between all the clips on the first video track.
Cutroom Assistant · local model
I found 6 clips on V1. I’ll add 5 dissolves, one at each cut. This changes your project.
Illustration of the approval flow, not a screenshot.
Arynwood Cutroom · alpha
Edit video by
describing the cut.
Cutroom is an AI-assisted video editor built on Kdenlive. Describe an edit in plain language and the Cutroom Assistant, a panel inside the editor, carries it out on your timeline.
- Runs on a local Ollama model by default; your media never leaves the machine
- Asks before it changes your project, with Allow or Deny on every edit
- An MCP server with 183 editing tools that Claude, Arynwood MCP or your own scripts can drive
- GPL-3.0, Linux, build from source. No published binaries yet
Tutorials & guides
Local AI on Linux,
measured and tested.
Practical guides with the hardware, versions and numbers stated. Browse all tutorials and learning paths.
Local AI without a GPU: real CPU speeds
Three Ollama models benchmarked CPU-only and on an RTX 3060, on a 2012 Xeon workstation. Which size is usable, and when a GPU matters.
Run local AI on Linux with Arynwood MCP
Hardware requirements, install steps and what the packaged alpha includes. Start with chat, then add knowledge search and creative tools.
Control Kdenlive with a local model
How the Cutroom Assistant turns plain-language requests into timeline edits, and the limits of small local models on multi-step edits.
The Arynwood toolkit
Learn, build,
and take a break.
Useful little tools and community spaces, gathered in one place. Browse the full toolkit.
Linux terminal study hub
Search commands and explore Linux, Git, Docker and Ollama in an interactive reference. No connected shell.
Jamendo radio
Tune a genre, search for a track and listen while you work. Find the player on Arynwood Social.
Public chat room
Open the community chat in your browser. Share what you’re making and join the conversation.
Built by Lorelei Noble
Tools you can run,
inspect and shape.
I’m a software engineer and artist building local AI and creative tools through Arynwood Technology. Arynwood MCP is the flagship: a workspace for people who want to run models and creative workflows on their own Linux hardware.
I also make digital art and textile designs. You can find more experiments and source code on SkyeVault.
Local AI questions
What is Arynwood MCP?
A Linux desktop app that brings Ollama chat, knowledge search, design and optional creative services into one workspace. “All in one” describes the interface: it does not mean models and every service are bundled.
Can I try it without installing?
Yes. The browser demo runs the real interface with scripted conversations. It is not a live AI; features that need a GPU or backend say so.
What does MCP mean?
MCP stands for Model Context Protocol, a way for AI applications to connect to tools. Arynwood MCP is the desktop application’s name; its external tool integrations need their own servers and configuration.
Can I run AI without a cloud subscription?
Yes, local Ollama chat can run on your machine without a cloud API key or subscription. You still need to install and download models. Optional remote providers and publishing platforms have their own accounts, terms and costs.
Does everything stay offline?
Local models run on your hardware. Downloads, web search, remote endpoints and social publishing use the network. Check which services you enable; local-first does not mean every workflow is offline.
Do I need a GPU?
Chat can run on a CPU through Ollama. On a 2012 8-core Xeon with no GPU, a 3B model generated about 13 tokens per second, faster than most people read; see the full CPU benchmark. GPU generation features have separate NVIDIA requirements.