IonClaw
A C++ AI agent orchestrator that runs anywhere as a native build — Linux, macOS, Windows, iOS, and Android — with zero external dependencies.
The only one that runs on mobile: a true personal assistant. Privacy and security by design — it runs on your smartphone.
What is IonClaw
One codebase, compiled natively for each platform. Deploy the same C++ engine on servers, desktops, Raspberry Pi, ESP32, and embedded systems — with web panel, project templates, built-in skills, multi-provider LLM support, and full MCP protocol integration as both client and server. No runtime dependencies. The only AI agent orchestrator that runs on mobile: a true personal assistant with privacy and security, because it runs on your smartphone.
Native on Every Platform
The same codebase compiles to a native build for each target. Full platform in one artifact: web panel, project templates, built-in skills. No runtime dependencies, no interpreters, no extra setup.
Cross-Platform from One Codebase
One codebase, one team. Compiles natively for Linux, macOS, Windows, iOS, Android, Raspberry Pi, and ESP32. Same C++17 engine everywhere — no platform-specific forks.
Multi-Agent Orchestration
Run multiple agents with independent models, tools, and workspaces. Each agent operates autonomously while being coordinated through a structured orchestration layer.
Browser-Based Control Panel
A complete web dashboard for real-time task tracking, agent management, skill editing, and system monitoring — accessible from any device with a browser.
Key Capabilities
Built in C++17 for maximum performance and portability across every platform.
Real-Time Dashboard
Monitor agents, track tasks, control executions, and inspect logs in real time through the built-in web panel.
Skills Extension System
Extend agent capabilities with custom skills — add, edit, and manage them directly through the web dashboard without restarts.
Multi-Provider LLM
Support for Anthropic, OpenAI, Google, and other AI providers with flexible model configuration, prompt caching, and MCP protocol compatibility.
Web Automation
Built-in browser automation capabilities for interacting with web environments directly from agent workflows.
Task Tracking
Visual task management with real-time status updates — see what each agent is doing with full transparency and control.
Sandboxed Workspaces
Each agent operates inside an isolated workspace with controlled permissions, preventing uncontrolled behavior and system exposure.
Agent-to-Agent Routing
Intelligent message routing between agents with contextual continuity — enabling structured collaboration between specialized instances.
Memory & Continuity
Persistent memory and session handling that keeps context across interactions, providing continuity across conversations and tasks.
MCP Client & Server
Full support for the Model Context Protocol — acts as both MCP client and MCP server, enabling seamless integration with any MCP-compatible tool or platform.
Where It Runs
One codebase, compiled natively for each target. From cloud and desktop to Raspberry Pi and embedded.
Cloud & Servers
Deploy on any cloud provider, VPS, or dedicated server. Supports Docker, one-click deployment on Render, Heroku, DigitalOcean, and Hostinger.
Desktop
Native builds for Linux, macOS, and Windows from the same codebase. No containers, no VMs, no runtime dependencies.
Mobile
The only AI agent orchestrator that runs on mobile. A true personal assistant on your smartphone — with privacy and security by design, because it runs on your device.
Raspberry Pi
Run AI agents directly on Raspberry Pi boards for edge computing, home automation, robotics, and local AI processing without cloud dependency.
ESP32 & Microcontrollers
Lightweight enough for ESP32 and similar microcontrollers — bring AI agent orchestration to IoT devices, sensors, and embedded hardware.
Embedded Systems
Designed for resource-constrained environments. The same C++ codebase compiles for industrial controllers, edge gateways, and custom embedded hardware.
Who It's For
Built for anyone who needs AI agent orchestration — from embedded engineers to cloud architects.
C++ & Embedded Developers
Build and extend the platform with C++17, create custom skills, and deploy AI agents on hardware you already work with.
IoT & Robotics Engineers
Run intelligent agents on edge devices, sensors, and robots — process data locally without cloud round-trips.
Teams & Organizations
Coordinate multiple agents across your infrastructure with structured workflows, real-time visibility, and centralized control.
Automation Enthusiasts
Design and deploy automated AI workflows on any hardware — from a Raspberry Pi at home to a production server in the cloud.
Production Environments
Built for production: native performance, zero external dependencies, and one codebase that simplifies deployment at scale.
Why IonClaw
What makes IonClaw different from other AI agent platforms.
Native Builds, Zero Dependencies
No Python, no Node.js, no Docker. The platform compiles to a native build for your target. Download and run.
Native C++ Performance
Built entirely in C++17 for maximum efficiency. Minimal memory footprint and fast execution — critical for embedded and resource-constrained devices.
True Cross-Platform
One codebase compiles natively for Linux, macOS, Windows, iOS, Android, Raspberry Pi, and ESP32. No platform-specific forks or extra runtimes.
Structured Orchestration
Not a standalone experimental agent. A structured system that manages multiple agents with independent models, tools, and workspaces — with MCP client and server support for interoperability with external tools and platforms.
Production-Ready
Designed for real deployment with security, isolation, and operational transparency. From edge devices to enterprise servers.
Community
Join discussions, share ideas, contribute, and help shape IonClaw.
Open Source
IonClaw is fully open-source and MIT-licensed. Contributions, feedback, and collaboration are welcome. Transparency is at the core of everything we build.