openhuman/README.md

OpenHuman

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

Discord • Reddit • X/Twitter • Docs

"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:

• Simple, UI-first — A clean desktop experience and short onboarding paths so you can go from install to a working agent in a few clicks, without a config-first setup. You don't need a terminal to run OpenHuman.

• One subscription, many providers — You only need 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.

Legend: ✅ strong fit · 🚫 not applicable / closed / extra keys & bills · ⚠️ partial or depends on setup

	Claude Desktop	OpenClaw	Hermes	OpenHuman
Open-source	🚫 Proprietary client	✅ Codebase is open under MIT License	✅ Codebase is open under MIT License	✅ Codebase is open under GNU License
Cost	⚠️ Subscription plus add-on tool/API costs	⚠️ Tied to models & hosting you choose	⚠️ Tied to models & hosting you choose	✅ Cloud + local models to optimize spend (per offering)
Memory & adaptation	⚠️ Built-in memory; mostly chat/session scoped	🚫 Often needs plugins for richer behavior	✅ Reflection / task loops (typical)	✅ Local KB + learning from your activity & prompts
API sprawl	🚫 Claude bill + often extra keys for MCP/tools	🚫 BYOK / multi-vendor common	🚫 Multiple providers common	✅ One account, bundled platform APIs
Knowledge & workspace	⚠️ Session-first; not a full workspace KB	⚠️ Session-first unless you extend it	⚠️ Session-first unless you extend it	✅ Syncs Gmail, Notion, etc. via skills—usually a few clicks
Extensibility	⚠️ MCP (different model than sandboxed skills)	⚠️ Varies	⚠️ Varies	✅ Skills, setup wizards, webhooks
Desktop depth	⚠️ Desktop app; OS depth varies	⚠️ Often lighter native surface	⚠️ Often lighter native surface	✅ STT, TTS, screen intelligence, memory-aware autocomplete

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