What is TinyHumans?
OpenHuman is a private, powerful, and open-source AI super intelligence designed to seamlessly integrate into your daily workflow.It’s built for simplicity, offering a clean desktop experience and rapid onboarding.
Key features include an agent with a mascot, a local-first knowledge base built with Obsidian-compatible Markdown files, and 118+ one-click integrations with popular tools like Gmail, Notion, and GitHub.
OpenHuman utilizes a unique “Memory Tree” system that automatically compresses and summarizes your data via a 20-minute auto-fetch loop.It employs smart token compression to minimize LLM costs and latency, and offers native voice integration.
The tool includes a web search, scraper, and a full coder toolset.It’s designed to quickly build context – within minutes, not weeks – and is built around a persistent memory of your data.The agent can join your Google Meets and remembers you across weeks.
It supports model routing for optimal LLM usage.OpenHuman utilizes a strong security model with encrypted data and keeps workflow data on device.It’s designed for developers and users seeking a versatile, private AI assistant.
It’s actively under development with a focus on AGI and artificial consciousness.
TinyHumans user reviews
Based on 3 reviews, 100.0% of users recommend TinyHumans, rated highly for ease of use.
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TinyHumans's key features
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Agentic AI Superintelligence
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Private & Simple Operation
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Rapid Onboarding & UI-First Design
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Obsidian-Compatible Knowledge Graph (Memory Tree)
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118+ One-Click Integrations (OAuth)
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20-Minute Auto-Fetch Data Loop
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Smart Token Compression (TokenJuice)
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Native Voice Integration (STT & TTS)
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Web Search & Scraper Toolset
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Full Coder Toolset (Git, Lint, Test)
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Model Routing (LLM Selection)
TinyHumans use cases
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Rapidly building contextual awareness for complex workflows by automatically summarizing and compressing data.
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Integrating diverse tools and services through a unified, one-click OAuth system.
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Creating a persistent, searchable knowledge base directly within your local environment using Obsidian-compatible Markdown.
Who is it for?
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Software engineers
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Product managers
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Operations teams
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Knowledge workers
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Enterprise privacy officers