Steven Enamakel 06a5240e9e Update README.md to enhance clarity and detail about OpenHuman's features
- Revised descriptions for key features to improve user understanding, including subscription model, memory capabilities, skills integration, and local AI functionalities.
- Consolidated and clarified language around desktop integration and user data management, emphasizing privacy and local processing.
- Removed outdated sections to streamline the document and focus on current capabilities.
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OpenHuman

The age of super intelligence is here. OpenHuman is your Personal AI super intelligence. Private, Simple and extremely powerful.

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Early Beta Platforms: desktop only Latest Release

The Tet

"The Tet. What a brilliant machine" — Morgan Freeman as he reminisces about alien superintelligence in the movie Oblivion

Early Beta — Under active development. Expect rough edges.

To install or get started, either download from the website over at tinyhumans.ai/openhuman or run

# For MacOS/Linux
curl -fsSL https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.sh | bash

# For Windows
irm https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.ps1 | iex

What is OpenHuman?

OpenHuman is an open-source agentic assistant that is designed to integrate with you in your daily life. Here's what makes OpenHuman special:

  • One subscription, many providers — You only need to one account to get access to many agentic APIs (AI Models, Search, Webhooks/Tunnels and other 3rd party APIs etc..), simplifying the experience to get a powerful agent going.

  • Rich Skills — Plug into Gmail, Slack, Notion, and the rest of your stack via rich, feature-backed skills. Connections are typically one click through setup wizards instead of wiring APIs by hand. Workflow data is kept on device, encrypted locally, and treated as yours: encryption and sensitive context stay on your machine. Webhooks give instant feedback into the agent when external systems or skills emit events, so the loop stays tight without constant polling.

  • Local knowledge base — Built from your data and your activity. How you work across tools, sessions, and connected services—so the agent gets rich, workflow-aware context, not a one-off chat transcript. Everything is stored on your machine and compounding over time without becoming a cloud dossier. Channels, skills and ongoing conversations feed the same loop so day-to-day context does not reset every session.

  • Local AI model — The Rust core exposes local AI paths (and the desktop bundle can ship local/bundled runners where applicable) for the workloads above—vision snippets, speech helpers, summarization, tooling—so sensitive steps can stay off the cloud when you choose.

  • Deep desktop integrations — OpenHuman is a native desktop assistant, not a web-only chat: memory-aware keyboard autocomplete, voice (STT listening and TTS replies), screen intelligence that understands what is on screen and feeds your local context, plus windowing and OS-level permissions—so the agent meets you on the machine, not trapped in a browser tab.

Architecture: docs/ARCHITECTURE.md. Contributor orientation: CONTRIBUTING.md.

OpenHuman vs other agents

High-level comparison (products evolve—verify against each vendor). OpenHuman is built to minimize vendor sprawl, keep workflow knowledge on-device, and ship deep desktop features—not only chat.

Claude Desktop OpenClaw Hermes OpenHuman
Open-source app No Depends on distribution Depends Yes (tinyhumansai/openhuman)
Single subscription for models + platform APIs Claude subscription; many workflows still need separate API keys / bills for tools Often BYOK and multi-vendor setups Often multiple providers / keys to manage One account for bundled agentic APIs (models, search, tunnels/webhooks, third-party surfaces—per product packaging)
Local encrypted knowledge base Chat/session-centric; not a first-class local KB product Varies by deployment Varies On-device knowledge that compounds with your activity
Sandboxed skills + webhooks MCP connectors (different model) Varies Varies Skills registry, setup wizards, webhooks for instant feedback
Deep desktop integrations (screen intelligence, STT/TTS, memory-aware autocomplete) Desktop app; depth varies by OS and feature Varies Varies Native stack: screen, voice, autocomplete, OS-level context loop

Contributors Hall of Fame

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OpenHuman contributors
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Readme GPL-3.0
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TypeScript 37.9%
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Shell 1.2%
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