AI agents that run natively and offline
IonClaw is a C++ AI agent orchestrator compiled natively for servers, desktop, Raspberry Pi, and mobile. It runs fully offline and requires zero external dependencies.
Native on every platform
A single C++ codebase compiles to a native build for Linux, macOS, Windows, mobile, and Raspberry Pi. It runs without any runtime, container, or external dependency.
The only one that runs on mobile
It turns your smartphone into a true personal AI assistant. Everything runs directly on your device, so it stays private and secure by design.
Offline and private
You can run local GGUF models through the built-in llama.cpp engine. There is no cloud and no API key, so your data and conversations never leave the device.
Quick Start
Clone, build, and run. The result is a single native binary that starts with one command.
# clone the repository $ git clone https://github.com/ionclaw-org/ionclaw.git $ cd ionclaw # build the native binary $ make setup-web $ make build-web $ make build $ make install # initialize a project and start the server $ ionclaw-server init ./my-project $ ionclaw-server start --project ./my-project → web panel ready at http://localhost:8080
Building needs CMake 3.20+, a C++ compiler, and Node.js 18+ for the web client. The compiled binary itself runs with zero runtime dependencies.
A complete platform, not just an agent
IonClaw brings together multi-agent orchestration, a browser-based control panel, a skills extension system, and multi-provider LLM support. It also ships with full MCP client and server integration inside a single native build.
Explore all featuresCommunity
Join the discussions and share your ideas. Contribute to the project and help shape where IonClaw goes next.
Open Source
IonClaw is fully open-source and MIT-licensed. Contributions and feedback are always welcome. Transparency sits at the core of everything we build.
Pricing
IonClaw is free and open source. There is no license to buy and nothing to subscribe to.
MIT licensed and self-hosted. There are no subscriptions, no seat limits, and no feature paywalls.
- The full platform under the MIT license
- Free iOS and Android apps on the App Store and Google Play
- Local GGUF models that run for free, fully offline
- Bring your own key for cloud providers and pay them directly, with no markup from IonClaw
Your only possible cost is usage from a cloud LLM provider you choose to connect. Run local models and there is nothing to pay at all.