01 · Baseline
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
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.
Before you install
This is alpha software. Choose a small starting workflow, check the requirements, and expand from there.
01 · Baseline
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.
02 · Optional
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.
03 · Limits
v0.4.3 does not include chatrooms 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.
Open-source communication tools
Private chat spaces by invitation, plus mail, shared calendars, household lists, boards, and organized thoughts. Keep your community on your own host.
Arynwood Cutroom · alpha
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.
Setup services
Paid work, scoped to your hardware and goals. Request a quote before any work begins.
Ollama, model selection and Arynwood MCP on Linux. A focused setup starts with one working chat workflow and a walkthrough of how to use it.
Connect a specific tool or creative service to your local AI workspace. Start with one task, such as a knowledge base or a Kdenlive workflow, and agree on the integrations and limits.
Diagnose an existing local AI installation: model loading, service connections or GPU setup. Define the problem and scope before making changes.
How it works
A fixed quote before anything starts, and a working result you know how to use.
Step 01
Your Linux distribution, CPU, RAM and GPU, and the one task you want local AI to help with. Not sure what hardware you have? Say so and I’ll tell you how to check.
Step 02
I reply with what is realistic on your hardware, what I’ll set up, what I won’t, and a fixed price. No work or charge until you agree.
Step 03
We work together remotely over a screen share. You finish with one working workflow, a walkthrough of how to use it, and short written notes for later.
Tutorials & guides
Practical guides with the hardware, versions and numbers stated.
Troubleshooting · Ollama
Read the PROCESSOR column in ollama ps, fix a CPU fallback on Linux, or force the CPU on purpose.
Read the answerMemory · 3B to 33B
Measured memory for each model size, how context length changes it, and what happens when a model doesn’t fit.
Read the answerGPU · RTX 3060 12GB
Speeds for eight models on the card, from 3B to 33B, and which one to pick.
Read the answerBenchmark · CPU only
CPU-only speeds on a 2012 Xeon from 1B to 33B, and which model to start with.
Read the benchmarkSetup guide · v0.4.3
Hardware requirements, install steps and what the packaged alpha includes. Start with chat, then add knowledge search and creative tools.
Read the guideResearch · SDXL
Why a LoRA loads on any SDXL derivative but never on SD 1.5, with the training setup and limits. CC BY 4.0, with a DOI.
Read the studyThe Arynwood toolkit
Useful little tools and community spaces, gathered in one place.
Learn · Linux
Search commands and explore Linux, Git, Docker and Ollama in an interactive reference. No connected shell.
Open the hubListen · Music
Tune a genre, search for a track and listen while you work. Find the player on Arynwood Social.
Start listeningConnect · Community
Open the community chat in your browser. Share what you’re making and join the conversation.
Join the chatQuestions
What Arynwood MCP is, what it needs, and what stays on your machine.
Arynwood Technology is the software studio of Lorelei Noble, a software engineer and artist. Our local AI guides link to measured results, hardware and software versions, and raw data. Read how we test for the method, disclosures and corrections process.
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.
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.
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.
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.
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.
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.
Local AI setup & integration
Tell me your Linux distribution, hardware and the task you want AI to help with. I’ll scope a paid setup or workflow integration around your machine.
Or write directly to [email protected]. Replies within two business days.