# Welcome to OpenHuman
OpenHuman is an open-source AI assistant designed to be the **memory** and **doer** for everything you do across your tools. Built on Rust + Tauri and licensed under GNU GPL3, it closes the gap between what AI models can do and what they actually know about *you*.
Every model in the world, all 200+ of them, shares the same fundamental limitation: they are stateless. You type a prompt, get a response, and the context evaporates. Even the ones with "memory" store a few bullet points. A few bullet points is a sticky note, not intelligence.
OpenHuman solves this with a stack that's calmly, deliberately different:
* **A local-first** [**Memory Tree**](/openhuman/features/obsidian-wiki/memory-tree.md)**.** Every source you connect. Gmail, Slack, GitHub, Notion, your own notes, flows through a deterministic pipeline: canonical Markdown, ≤3k-token chunks, scored, folded into per-source / per-topic / per-day summary trees. Stored in SQLite on your machine. No vector-soup black box.
* **An** [**Obsidian-style wiki**](/openhuman/features/obsidian-wiki.md) **on top of it.** The same chunks the agent reasons over land as `.md` files in a vault you can open in [Obsidian](https://obsidian.md), browse, edit, and link by hand. Inspired by [Karpathy's obsidian-wiki workflow](https://x.com/karpathy/status/2039805659525644595). You can't trust a memory you can't read.
* [**118+ third-party integrations**](/openhuman/features/integrations.md)**.** One-click OAuth into Gmail, GitHub, Slack, Notion, Stripe, Calendar, Drive, Linear, Jira and more - no API keys to wire by hand, no plugin marketplace to navigate.
* [**Auto-fetch**](/openhuman/features/obsidian-wiki/auto-fetch.md)**.** Every twenty minutes, OpenHuman pulls fresh data from every active connection and folds it into the Memory Tree without you asking, so the agent already has tomorrow's context this morning.
* **An agent built for big data.** [Smart token compression (TokenJuice)](/openhuman/features/token-compression.md) compacts verbose tool output before it ever enters the model's context, so sweeping through your last six months of email costs single-digit dollars. [Automatic model routing](/openhuman/features/model-routing.md) sends each task to the right model - `hint:reasoning` to a frontier model, `hint:fast` to a cheap one, vision to vision - all under one subscription. Optional [local AI via Ollama](/openhuman/features/model-routing/local-ai.md) keeps embeddings and summarization on-device.
* [**Batteries included**](/openhuman/features/native-tools.md)**.** A complete agent toolbelt is wired in by default: [web search](/openhuman/features/native-tools/web-search.md), a [web-fetch scraper](/openhuman/features/native-tools/web-scraper.md), a full [coder toolset](/openhuman/features/native-tools/coder.md) (filesystem, git, lint, test, grep), [browser & computer control](/openhuman/features/native-tools/browser-and-computer.md), [cron & scheduling](/openhuman/features/native-tools/cron.md), [memory tools](/openhuman/features/native-tools/memory-tools.md), [agent coordination](/openhuman/features/native-tools/agent-coordination.md) for spawning sub-agents, and [native voice](/openhuman/features/native-tools/voice.md) - STT in, TTS out, mascot lip-sync, and a live Google Meet agent that joins meetings, transcribes them into your Memory Tree, and can speak back into the call. No "install a plugin to read files" friction.
* **Simple, UI-first.** A clean desktop experience and short onboarding paths take you from install to a working agent in a few clicks - no config-first setup, no terminal required. The agent has [a face](https://github.com/tinyhumansai/openhuman/blob/main/gitbooks/features/mascot.md): a desktop mascot that speaks, reacts to its surroundings, joins your Google Meets as a real participant, remembers you across weeks, and keeps thinking in the background even when you've stopped typing.
Together, these turn OpenHuman into something fundamentally different from a chatbot. It is an AI agent that consumes large amounts of personal data at low cost, maintains a persistent and evolving understanding of your world, and takes proactive actions on your behalf.
{% hint style="warning" %}
OpenHuman is not AGI. But it is a meaningful architectural step closer, with better memory, better orchestration, and better tooling.
{% endhint %}
---
# Agent Instructions: Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter:
```
GET https://tinyhumans.gitbook.io/openhuman/overview/readme.md?ask=
```
The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.