Practical OpenHuman guide

OpenHuman Guide

Practical, source-linked guidance for evaluating OpenHuman: install it safely, understand the privacy tradeoffs, and decide if it fits your workflow before connecting personal accounts.

OpenHuman GitHub repository preview

Practical, source-linked OpenHuman guidance

What This Guide Covers

OpenHuman Guide is a practical evaluation resource for OpenHuman, an open-source personal AI assistant with persistent memory, 118+ integrations, and local-first storage. This guide answers three questions: how to install it safely, what privacy tradeoffs to expect, and how it compares to alternatives like Open WebUI and AnythingLLM. Every claim is source-linked. Every risk is flagged upfront.

  • OpenHuman is a GPL-3.0 desktop assistant that builds a three-layer Memory Tree from your connected accounts.
  • Data stores locally in SQLite and Markdown — not in a cloud vault — with optional local AI via Ollama or LM Studio.
  • It is early beta (as of June 2026) with no published independent security audit. Start with test accounts.
  • Use the install guides when ready to try it. Use the privacy guide before connecting accounts. Use comparisons if choosing between tools.

How to Use This Guide

Use this guide to cut through the noise. Every claim is source-linked. Every command is documented. Every risk is flagged upfront so you can decide with full context.

At a Glance

Key facts to help you evaluate OpenHuman in under 30 seconds.

  • Overall rating: 3.5/5 in our independent 2026 evaluation — strong vision, early-beta execution.
  • 118+ OAuth integrations: the broadest connector ecosystem among open-source personal assistants.
  • Local-first storage: your data lives in SQLite and Markdown on your machine, not in a cloud vault.
  • Three-layer Memory Tree: themes, entities, and documents in an inspectable Obsidian-compatible vault.
  • No independent security audit yet: start with test accounts and wait before connecting primary accounts.

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