A local-first AI operating system built for real hardware, persistent memory, and distributed intelligence.
CHE AI is designed to run on your own machines instead of living entirely in the cloud. It is built for builders, robotics, edge devices, offline systems, and long-horizon work where memory and system continuity matter. The goal is simple: real AI infrastructure that can think, remember, connect, and operate across actual hardware.
Node online. The rest are thinking about it.
From Raspberry Pi and Jetson nodes to Windows workstations and Android relay devices, CHE AI is structured to move across different hardware classes while maintaining one coherent intelligence stack.
Documentation, white papers, and GitHub repositories are linked directly from this site so visitors can inspect the public framework, track progress, and understand the architecture behind the system.
CHE AI is designed to operate across different classes of hardware instead of being locked to one environment. It can be deployed on Raspberry Pi systems for lightweight edge nodes, Linux workstations for development and orchestration, Windows machines for local desktop control, Jetson platforms for AI and robotics workloads, and mobile devices for portable access and relay functions. This allows CHE to scale from a single local machine to a distributed multi-device network.
Lightweight node deployment, edge control, offline assistants, and low-power distributed systems.
Primary environment for local AI deployment, development workflows, orchestration, and system control.
Desktop runtime access, local model hosting, control interfaces, and cross-device coordination.
High-performance edge AI for robotics, sensors, acceleration workloads, and advanced hardware integration.
Portable access layer for monitoring, interaction, relay nodes, and mobile control surfaces.
Multiple devices can work together as a coordinated system rather than a single isolated install.
Most AI products are cloud-bound tools. CHE is a system. It is designed to run locally, persist state, and coordinate across real hardware. That changes what you can build and how it behaves over time.
No dependency on external APIs to function. Models run on your machines with your data and your control.
State carries across sessions and devices. CHE is built to remember, not just respond.
Designed as a runtime layer that connects tools, nodes, and hardware rather than a single interface.
Works with Raspberry Pi, Jetson, desktops, and mobile as part of one coordinated environment.
Multiple nodes can operate together. Scale is horizontal across devices, not locked to one box.
White papers, documentation, and code are accessible. Inspect, learn, and build alongside it.
Built to run on your hardware with direct control over models, data, and deployment.
Designed for persistent state, contextual continuity, and longer-term reasoning across sessions.
More than chat. CHE is aimed at nodes, tools, robotics, automation, and real operating environments.
Active development, documentation, white papers, and code are all part of the public-facing ecosystem.
Runs fully offline on your hardware.
Maintains long-term state across sessions.
Integrates with robotics and embedded systems.
Scales across multiple machines.
Design principles for edge intelligence.
Connect multiple systems together.
Memory, symbolic, intent systems.
Command and integration reference.