# 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. Running from source: docs/install.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 Code/Cowork	OpenClaw	Hermes Agent	OpenHuman
Open-source: Is the codebase open to review?	🚫 Proprietary client	✅ MIT License	✅ MIT License	✅ GNU License
Simple: Is it simple to get started?	✅ Simple Desktop App + CLI	⚠️ Terminal first and often complex	⚠️ Terminal first and often complex	✅ Simple, Clean UI/UX. Get started within minutes
Cost: How expensive is to run?	⚠️ Subscription + add-on tool/API costs	⚠️ Tied to models & hosting you choose	⚠️ Tied to models & hosting you choose	✅ Cost optimized with the option to run many things locally for free
Memory & Knowledge Base (KB): Does the agent know you and your world?	✅ Built-in memory; mostly chat/session scoped	⚠️ Has a local memory but often needs plugins for richer behavior	✅ Self-learning / task loops (typical)	🚀 Local KB + Self-learning from your activity & data (GMail, Notion etc... via skills) & prompts
API spagetti: How complex is it to hook mulitple features together?	🚫 Claude bill + often extra keys for MCP/tools	🚫 BYOK / multi-vendor common	🚫 Multiple providers common	✅ One account get access to many bundled platform APIs
Extensibility: Can you add rich features into it?	✅ MCP (different model than sandboxed skills)	✅ Plugin Architecture (SKILL.md)	✅ Plugin Architecture (SKILL.md)	🚀 Rich Skills with ability to have realtime updates, local DB & more
Desktop integrations: Can it integrate into your desktop completely?	⚠️ Desktop app & access to folders	⚠️ Often lighter native surface	⚠️ Often lighter native surface	✅ STT, TTS, screen intelligence, memory-aware autocomplete and a whole lot more

Contributors Hall of Fame

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