Personal AI · Linux desktop alpha

Arynwood MCP

A local-first AI workspace for the Linux desktop. Chat with your own models, search your documents and connect creative tools, all against your local Ollama.

Try it in your browser Download v0.4.3 View source
  • v0.4.3 alpha
  • Linux x86_64
  • AppImage · .deb
  • Source-available
Arynwood MCP chat window: the Arynwood persona explains that it can search the web and a knowledge base and drive a running Kdenlive editor, with persona tabs above the conversation
The real interface running in your browser with scripted data. No install needed.

What’s inside

One workspace, your models

Start with Ollama chat, then add the services your workflow needs. Models and supporting services are installed separately.

  • Chat and models

    Multi-persona chat that streams from Ollama. Browse, pull and delete models, and register local or remote Ollama and OpenAI-compatible servers.

  • Knowledge search

    Teach it from a URL, a file or pasted text, then search your own documents. Uses Qdrant and an Ollama embedding model.

  • Design canvas

    A canvas design tool. Image generation connects to a separately installed A1111 service.

  • Music and audio

    Optional music and audio tools through separately installed MusicStudio sidecars.

  • MCP tool integrations

    Model Context Protocol tool servers, including Kdenlive editing through Cutroom’s MCP server. Each tool server is configured separately.

  • Built for daily use

    A Ctrl+K command palette and a system status drawer on every screen, with live service health on the dashboard.

Requirements

What you need to run it

From the v0.4.3 documentation. Read the versioned platform requirements.

Operating systemLinux x86_64. AppImage or Debian/Ubuntu .deb. Windows and macOS are not supported.
Memory16 GB RAM minimum in the project documentation. Model size affects memory use.
StorageAt least 20 GB free, plus space for models and generated media.
Chat GPUOptional. Ollama can run chat on a CPU, more slowly. See measured CPU speeds.
Creative GPU toolsAn NVIDIA GPU for the documented GPU services. At least 12 GB VRAM is the project’s practical recommendation.

Get started

Start with one chat workflow

Get chat working first, then add knowledge search and creative tools one at a time.

Full setup guide

  1. Step 01

    Download and install

    Get the x86_64 AppImage or .deb from the v0.4.3 release and check it against SHA256SUMS.txt. Make the AppImage executable, or install the .deb with its GStreamer packages.

  2. Step 02

    Add Ollama and a model

    Ollama isn’t bundled. Install it, then pull a model that fits your RAM or GPU memory. A 3B model is comfortable on a CPU alone.

  3. Step 03

    Check chat, then expand

    Pick the model and send a message. Once that works, add Qdrant and an embedding model for knowledge search, then any creative services.

curl -fsSL https://ollama.com/install.sh | sh
ollama pull llama3.2:3b

Needs extra setup

  • Image generation: A1111 runs as a separate service
  • Music and audio: install the MusicStudio sidecars and their models
  • Kdenlive editing: the compatible editor, a running MCP server and local configuration
  • Social publishing: network access and platform accounts

Not in the packaged alpha

  • Chatrooms or end-to-end encrypted messaging
  • LoRA training, script-based GPU tools and the project file browser (source checkout only)
  • Windows and macOS builds

Questions

Arynwood MCP questions

What it includes, what it needs, and what stays on your machine.

Does it include the AI models?

No. The download contains the interface and backend. Ollama and its models are installed separately, and so are Qdrant, A1111 and MusicStudio if you use those features.

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.

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.

Is it open source?

Its source code is public on GitHub under the Arynwood MCP Source-Available License, which is not an open-source license. Read the LICENSE file for what it allows.

Does everything stay offline?

Local models run on your hardware. Downloads, web search, remote endpoints and social publishing use the network. Local-first describes a deployment choice, not a promise that every feature works offline.

Keep reading

Guides and related tools

Local AI setup & integration

Want it set up on your machine?

Tell me your Linux distribution, hardware and the task you want AI to help with. I’ll scope a paid setup around your machine.

Email for a quote See setup services