Download Grimoire
Installers are coming soon. Pre-built packages for Windows, macOS, and Linux are not available yet. Watch the repository for release announcements, or build from source if you want to try Grimoire today.
Pre-release: no installers on GitHub Releases yet
GitHub Releases may not contain Windows, macOS, or Linux installers yet. To run Grimoire today, follow Development / build from source
in the app README (clone, toolchain, npm run tauri dev
).
Also useful
- Watch the repository for release announcements.
- Read Help for first-run context (full documentation is linked from the footer when available).
Grimoire is released under the GNU GPL v3. For commercial use cases that cannot comply with the GPL (e.g. embedding Grimoire in a proprietary product), a separate commercial license is available on request.
System Requirements
Typical targets only — exact numbers depend on your platform and release. See the app repository README for up-to-date build and runtime expectations.
Grimoire (app)
- Windows 10 or later, macOS 12 or later, or a recent 64-bit Linux distribution
- On the order of a few hundred MB disk for the app; additional space for indexes and attachments
AI assistant (optional)
- Ollama installed locally
- About 4 GB RAM is a reasonable baseline to run smaller chat and embedding models; the real number is model-dependent — larger models, higher context windows, and keeping a model loaded can require 8 GB or much more. Check Ollama and your model’s documentation.
- GPU acceleration supported but not required
Prefer to build from source?
Grimoire is open source under GPL v3. Clone the repository and build it yourself — this is the way to run Grimoire until installers ship.
git clone https://github.com/wimpal/Grimoire.git - Install Rust, Node.js, and the Tauri prerequisites for your OS (summarized in the README).
-
In the cloned repo, run
npm install. -
Start the desktop app with
npm run tauri dev(from the repository root), as documented in the README Development section.
Full detail, tests, and optional tooling: README on GitHub .