OpenHuman
OpenHuman is an open-source, personal AI super intelligence that offers a simple, private, and powerful agentic assistant with local memory and managed services.
OpenHuman
What is OpenHuman?
OpenHuman vs Similar AI Tools
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How to use OpenHuman?
- 1Download the installer from tinyhumans.ai/openhuman or the latest GitHub release.
- 2Run the installer for your platform (macOS Homebrew tap, Linux apt, Arch AUR, Windows MSI, or manual .dmg/.deb/.AppImage/.msi).
- 3Launch OpenHuman and complete the onboarding in a few clicks.
- 4Connect your accounts via OAuth (Gmail, Notion, GitHub, etc.) and let auto-fetch build your memory tree.
- 5Start interacting with the agent via voice, text, or desktop mascot.
OpenHuman Key Features
- Memory Tree + Obsidian Wiki for local-first knowledge base
- 118+ third-party integrations with auto-fetch on a 20-minute loop
- Smart token compression (TokenJuice) reducing cost and latency by up to 80%
- Native tools: web search, web scraper, coder toolset, voice STT/TTS
- Model routing across reasoning, fast, and vision models
- Desktop mascot that speaks, reacts, and joins Google Meets
OpenHuman Use Cases
- Personal productivity assistant
- Context-aware coding companion
- Knowledge management with automatic memory building
- Meeting assistant that participates in Google Meets
- Integration hub for 118+ services
OpenHuman Pricing & Free Credits
OpenHuman currently operates on a Free, Paid model.
Free (Open-Source)
$0
Core open-source functionality with local memory and basic features.
Pro (Managed Subscription)
Contact for pricing
Managed services including model routing, auto-fetch, and all integrations.
OpenHuman Pros & Cons
Pros
- Open-source with GNU license
- Local-first memory and Obsidian vault
- 118+ integrations with auto-fetch
- Smart token compression reduces costs
- Simple UI-first setup
Cons
- Early beta with rough edges
- Managed services require subscription
- Some features still reliant on backend
What is OpenHuman best for?
- Individuals wanting a personal AI assistant
- Developers needing context-aware coding agent
- Knowledge workers who want automated memory building
- Users who prefer local-first data ownership
OpenHuman FAQ
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