RA-H OS for business
Build a custom agent operating system for your business.
Build a custom operating system for your business that is model agnostic, fully-local on your device, or in a cloud operating system that you actually own: tasks, workflows, dashboards, agents and a memory backend that compounds over time.
partner infrastructure
pi harness
Terminal agent runtime for local RA-H work.
nano-claw gateway
Discord gateway pattern for agent access.
How it works
This is not a generic project management tool. It is a repurposed operating-system template with context as the skeleton and task management sitting on top.
context/memory database
local graph memory
projects, tasks & skills
source folders for work
agents and tools
shared agent actions
modular extensions and custom data
business-specific modules
module 01
context/memory database
A local graph keeps durable context: what happened, what changed, what was decided, the evidence behind it, and how the pieces connect.
module 02
projects, tasks & skills
Projects, RDs, tasks, notes, and reusable skills stay in simple source folders, with indexes generated from the files instead of hidden in a closed tool.
module 03
agents and tools
Agent surfaces use the same tool kernel for graph search, task updates, project context, skills, extensions, and controlled system actions.
module 04
modular extensions and custom data
Business modules can bring their own data sources, dashboards, panels, scripts, and agent actions without forcing every record into one database.
Why this is important
Business AI should not trap the operating context inside one vendor, one model, or one dashboard.
Fully local when it needs to be.
The operating system can run against local files and a local memory database, so the core context stays on the machine or in infrastructure the business owns.
No model or provider lock-in.
Use hosted models, Qwen, LocalLLaMA, or another provider. The system manages the work and memory layer around the model, not inside one vendor account.
Background management on device.
Context retrieval, task state, skills, workflow loops, and review trails can be managed by the OS layer, including offline or local-first setups.
Bring your own agent surface.
It ships around a Pi harness and a nano-claw inspired Discord gateway, but the same tool kernel can support custom agents, apps, and integrations.
start here
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