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OpenHuman is your Personal AI super intelligence. Private, Simple and extremely powerful.
+Discord • Reddit • @@ -30,6 +33,8 @@ To install or get started, either download from the website over at [tinyhumans.ai/openhuman](https://tinyhumans.ai/openhuman) or run ``` +# Download DMG, EXEs over at https://tinyhumans.ai/openhuman or run in from your terminal + # For MacOS/Linux curl -fsSL https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.sh | bash @@ -41,7 +46,7 @@ irm https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/instal 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/). -- **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. +- **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. - **[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. @@ -49,27 +54,25 @@ OpenHuman is an open-source agentic assistant designed to integrate with you in - **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. -- **[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%. +- **[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%. - **[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. -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). +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). ## Context in minutes, not weeks -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. +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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