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Update README.md (#1449)
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<img src="./gitbooks/.gitbook/assets/demo.png" alt="The Tet" />
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</p>
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<p align="center">
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<a href="https://trendshift.io/repositories/23680" target="_blank"><img src="https://trendshift.io/api/badge/repositories/23680" alt="tinyhumansai%2Fopenhuman | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
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<p align="center" style="display: inline-block">
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<a href="https://trendshift.io/repositories/23680" target="_blank" style="display: inline-block">
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<img src="https://trendshift.io/api/badge/repositories/23680" alt="tinyhumansai%2Fopenhuman | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/>
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</a>
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</p>
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<p align="center">
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<strong>OpenHuman is your Personal AI super intelligence. Private, Simple and extremely powerful.</strong>
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</p>
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<p align="center">
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<a href="https://discord.tinyhumans.ai/">Discord</a> •
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<a href="https://www.reddit.com/r/tinyhumansai/">Reddit</a> •
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To install or get started, either download from the website over at [tinyhumans.ai/openhuman](https://tinyhumans.ai/openhuman) or run
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```
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# Download DMG, EXEs over at https://tinyhumans.ai/openhuman or run in from your terminal
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# For MacOS/Linux
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curl -fsSL https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.sh | bash
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OpenHuman is an open-source agentic assistant designed to integrate with you in your daily life. Each bullet links to the deeper writeup in the [docs](https://tinyhumans.gitbook.io/openhuman/).
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- **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://tinyhumans.gitbook.io/openhuman/features/mascot): 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.
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- **Simple, UI-first & Human** 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://tinyhumans.gitbook.io/openhuman/features/mascot): a desktop mascot that speaks, reacts to its surroundings, joins your [Google Meets](https://tinyhumans.gitbook.io/openhuman/features/mascot/meeting-agents) as a real participant, remembers you across weeks, and keeps thinking in the background even when you've stopped typing.
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- **[118+ third-party integrations with auto-fetch](https://tinyhumans.gitbook.io/openhuman/features/integrations)**: plug into Gmail, Notion, GitHub, Slack, Stripe, Calendar, Drive, Linear, Jira and the rest of your stack with **one-click OAuth**. Every connection is exposed to the agent as a typed tool, and every twenty minutes the core walks each active connection and pulls fresh data into the [memory tree](https://tinyhumans.gitbook.io/openhuman/features/integrations/auto-fetch). No prompts, no polling loops you have to write, so the agent already has tomorrow's context this morning.
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- **Batteries included**: web search, a web-fetch [scraper](https://tinyhumans.gitbook.io/openhuman/features/native-tools), a full coder toolset (filesystem, git, lint, test, grep), and [native voice](https://tinyhumans.gitbook.io/openhuman/features/voice) (STT in, ElevenLabs TTS out, mascot lip-sync, live Google Meet agent) are wired in by default. [Model routing](https://tinyhumans.gitbook.io/openhuman/features/model-routing) sends each task to the right LLM (reasoning, fast, or vision) under one subscription. No "install a plugin to read files" friction. [Optional local AI via Ollama](https://tinyhumans.gitbook.io/openhuman/features/model-routing/local-ai) for on-device workloads.
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- **[Smart token compression (TokenJuice)](https://tinyhumans.gitbook.io/openhuman/features/token-compression)**: every tool call, scrape result, email body, and search payload is run through a token compression layer before it touches any LLM Model. HTML is converted to Markdown, long URLs are shortened, etc... You get the same information but at a fraction of the tokens. Reducing costs by upto 80%.
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- **[Smart token compression (TokenJuice)](https://tinyhumans.gitbook.io/openhuman/features/token-compression)**: every tool call, scrape result, email body, and search payload is run through a token compression layer before it touches any LLM Model. HTML is converted to Markdown, long URLs are shortened, non-Asccii characters are removed etc... You get the same information but at a fraction of the tokens. Reducing costs & increasing latency by upto 80%.
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- **[Messaging channels](https://tinyhumans.gitbook.io/openhuman/features/integrations#messaging-channels)** and **[privacy & security](https://tinyhumans.gitbook.io/openhuman/features/privacy-and-security)**: inbound/outbound across the channels you already use, with workflow data that stays on device, encrypted locally, treated as yours.
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For contributors: [Architecture](https://tinyhumans.gitbook.io/openhuman/developing/architecture) · [Getting Set Up](https://tinyhumans.gitbook.io/openhuman/developing/getting-set-up) · [Cloud Deploy](https://tinyhumans.gitbook.io/openhuman/developing/cloud-deploy) · [`CONTRIBUTING.md`](./CONTRIBUTING.md).
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For contributors: Read the [Architecture](https://tinyhumans.gitbook.io/openhuman/developing/architecture) · [Getting Set Up](https://tinyhumans.gitbook.io/openhuman/developing/getting-set-up) · [Cloud Deploy](https://tinyhumans.gitbook.io/openhuman/developing/cloud-deploy) · [`CONTRIBUTING.md`](./CONTRIBUTING.md).
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## Context in minutes, not weeks
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OpenHuman is the first agent harness that gets to know you in minutes. Inspired by [Karpathy's LLM Knowledgebase](https://x.com/karpathy/status/2039805659525644595). Connect → sync → ingest → done.
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OpenHuman is the first agent harness that gets to know you in minutes. Inspired by [Karpathy's LLM Knowledgebase](https://x.com/karpathy/status/2039805659525644595). Most agents start cold. Hermes learns by watching you work; OpenClaw waits for plugins to ferry context in. Either way, you spend days or weeks before the agent knows enough about your stack to be genuinely useful.
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<p align="center">
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<img src="./gitbooks/.gitbook/assets/image.png" alt="The Tet" />
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<img src="./gitbooks/.gitbook/assets/image.png" />
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</p>
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> OpenHuman summarizes and compresses all your documents, emails & chats; and creates a memory graph that lets your agent remember everything about you.
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Most agents start cold. Hermes learns by watching you work; OpenClaw waits for plugins to ferry context in. Either way, you spend days or weeks before the agent knows enough about your stack to be genuinely useful.
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OpenHuman skips the wait. Connect your accounts, let [auto-fetch](https://tinyhumans.gitbook.io/openhuman/features/integrations/auto-fetch) pull data locally on a 20-minute loop, and then have [Memory Trees](https://tinyhumans.gitbook.io/openhuman/features/memory-tree) compresses everything into Markdown files stored intelligently in a [Karpathy-style Obsidian wiki](https://tinyhumans.gitbook.io/openhuman/features/obsidian-wiki).
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OpenHuman skips the wait. Connect your accounts, let [auto-fetch](https://tinyhumans.gitbook.io/openhuman/features/integrations/auto-fetch) pull context on a 20-minute loop, and the [Memory Tree](https://tinyhumans.gitbook.io/openhuman/features/memory-tree) compresses everything into Markdown chunks stored in a Karpathy-style [Obsidian wiki](https://tinyhumans.gitbook.io/openhuman/features/obsidian-wiki) on disk.
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One sync pass and the agent has understood your inbox, your calendar, your repos, your docs, your messages. All local & privately. No training period. No "give it a few weeks.". It becomes you, controlled by you.
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In just one sync pass and the agent has full (compressed) context your inbox, your calendar, your repos, your docs, your messages. No training period. No "give it a few weeks.". It becomes you, controlled by you.
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## OpenHuman vs Other Agent Harnesses
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@@ -103,7 +106,7 @@ _Building toward AGI and artificial consciousness? Star the repo and help others
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# Contributors Hall of Fame
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Show some love and end up in the hall of fame
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Show some love and end up in the hall of fame. Contributors get free merch and special access to our [Discord](https://discord.tinyhumans.ai/).
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<a href="https://github.com/tinyhumansai/openhuman/graphs/contributors">
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<img src="https://contrib.rocks/image?repo=tinyhumansai/openhuman" alt="OpenHuman contributors" />
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