Indoor Cat
A local-first AI copilot: chat with an LLM that runs entirely on your own computer. No cloud, no account.
- What
- A local-first AI copilot: chat with an LLM that runs entirely on your own computer. No cloud, no account.
- Cost
- Free
- Needs
- Chat with an LLM that never leaves your computer, with Indoor Cat.
- Install
- Copy the installer prompt below into your Muse — your agent does the rest.
Indoor Cat is a local-first AI copilot: a desktop chat app that runs a large language model entirely on your own computer. Nothing leaves the machine: your chats, your documents, your files and your pictures stay home. Ask it about your documents: attach a PDF and it reads the needed page locally, then tells you which page the answer came from. Keep your files in folders on your own disk; scanned pages are read by the vision model so they stay searchable too. Make and edit pictures: every picture keeps its recipe (prompt, seed, size, model) so you can edit or regenerate it later, with an optional one-click install of the picture engine. Every tool has its own switch: /see, /image, /edit and /search each show what they need, whether it is ready, and whether it asks before acting. Anything that would change something outside the app asks you first, in the conversation. Each tool ships with its test results: what it scored, on which model, on what date, and the tests are included so you can rerun them on your own hardware. Private web search and browsing come along too: it installs its own small search engine, opens real web pages, and only clicks or types when you allow it. Indoor Cat runs on Windows 10/11 (64-bit), macOS (Apple Silicon and Intel) and Linux (AppImage and .deb). No account, no cloud, no subscription: there is no pricing page and nothing to buy as of 2026-10-04. Honest caveats: this is an early-stage solo project (version 0.11.1, September 2026), and the author calls it slightly janky himself. The macOS and Linux builds are explicitly early and untested on clean machines. The first run downloads gigabytes (engine plus a model picked for your hardware), so nothing works offline until that finishes. It runs without a GPU but slowly; 8 GB or more of VRAM gets you a much larger model. Windows SmartScreen may warn while the new code-signing certificate builds reputation, and the macOS app is unsigned, so Gatekeeper needs a manual Open Anyway. The application itself is closed source: only the installers are public.
Version:
Install
Copy the install package below, then paste it into MuseCommunity-built. Skill Harbor doesn't audit code — review the source before installing.
Chat with an LLM that never leaves your computer, with Indoor Cat. 1. Download the installer for your system from the latest release at github.com/troygrossi/local-llm-downloads/releases/latest (Windows -setup.exe, macOS .dmg for Apple Silicon or Intel, Linux AppImage or .deb). 2. Optional but recommended: verify the SHA256 checksum against SHA256SUMS.txt on the release page. 3. Run the installer. On macOS the app is unsigned: after the first blocked open, go to System Settings, Privacy and Security, and click Open Anyway. 4. Launch Indoor Cat. The first run downloads the engine (about 1.4 GB on Windows) plus a model picked for your hardware (1.4 to 13 GB). Plan several minutes and a few gigabytes of disk. 5. Chat. Attach a PDF to ask about your documents, flip the per-tool switches (/see, /image, /edit, /search) to control what each tool may do, and install optional extras (picture engine, private search) from inside the app, one click each. Advanced: the .zip on the release page is the same software without the desktop shell. Unpack it and run START.cmd (needs Node.js 20+ installed).
Saved to your recent installs. Find it anytime on /connect.
Questions
How do I install a build?
Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.
Where does my money go?
Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.
What does the ✓ next to a creator’s name mean?
It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.