Guides
Step-by-step guides for getting a result out of OpenHuman: set up an assistant, run local models, protect sensitive data, recover a broken install or move to a new machine.
The rest of the docs explain how OpenHuman works. These guides are about what you want to get done. Each one starts from a concrete goal, such as "I want a private assistant", "my install is broken" or "I'm moving to a new laptop", and walks you to a working result. You do not need to read them in order or be technical.
Pick your goal
Set up a personal assistant from scratch
Keep model inference on my own machine
Spread work across several model servers I run
Understand what leaves my computer and what doesn't
Fix an install that won't start or finish
Move everything to a new computer
Let the agent tidy a folder of files
Build a role-specific assistant, such as a clinical one
Set up a locked-down assistant for a child
How a guide is laid out
Every guide has the same sections:
Prerequisites: what you need before you start.
Privacy implications: what stays on your machine and what goes to the OpenHuman backend or a model provider.
Steps: the path to follow.
Success checks: how to confirm it works.
Common failures: how the flow breaks, and what each symptom means.
Recovery: how to get unstuck without losing data.
Where your data lives
OpenHuman keeps your settings, workspace files and secrets on your machine. Your memory is stored in CortexDB, either the hosted one TinyHumans runs behind your account or your own. The managed backend also handles sign-in, model routing, integration access, web-search proxying and some real-time integration triggers. That split is behind most of the privacy and recovery advice here. If you read one background page, read Privacy and security.
On disk, everything lives in one folder:
macOS and Linux
~/.openhuman/
Windows
%USERPROFILE%\.openhuman\
Backups, recovery and migration all come back to that folder. Memory items are not in it, so backing up or deleting the folder neither copies nor erases them.
See also
Privacy and security: the trust model these guides assume.
Local AI: the config reference behind the local-model guides.
Memory: what memory stores and where.
Getting started: install and first run.
Troubleshooting sign-in: if you cannot get past login.
Developing: building from source.
Last updated