OpenHuman - an open-source desktop AI assistant that can proactively perceive the working context.

What is OpenHuman?

OpenHuman is an open-source personal AI super-intelligent assistant developed by the tinyhumansai team. Positioned as "Your Personal AI super intelligence," it emphasizes privacy, simplicity, and extreme power. Unlike traditional chatbots, it's a desktop-level AI agent capable of proactively understanding the user's work context. By automatically synchronizing data from 118+ third-party applications every 20 minutes, it builds a local persistent memory, allowing the AI to truly "understand you." The project is built using Rust + TypeScript + Tauri and supports macOS, Linux, and Windows platforms.

Main functions of OpenHuman

• Desktop mascot interactionA desktop AI assistant with a visual avatar, supporting voice input (STT) and ElevenLabs voice output (TTS). The mascot can lip-sync in real time and can join Google Meet as a participant and record the meeting in real time.
• One-click integration of 118+ third-party applicationsQuickly integrate with mainstream tools such as Gmail, Notion, GitHub, Slack, Linear, Jira, Stripe, Calendar, and Drive via OAuth, without writing any connection code.
• Automatic sync every 20 minutes (Auto-fetch)The core engine iterates through all active connections every 20 minutes, automatically pulling the latest data into the local memory system, so that the Agent has all the context of the previous day by the next morning.
• Memory Tree: Hierarchical Persistent MemoryThe synchronized data is normalized into Markdown chunks of ≤3k-token, scored, folded and stored in a hierarchical summary tree, and stored locally in SQLite to achieve long-term memory across sessions.
• Natively compatible with Obsidian VaultSynchronize data and output it in an Obsidian-readable format. .md The document allows users to browse and edit the AI-maintained knowledge network within the Obsidian Graph View.
• TokenJuice Smart Token CompressionAutomatically compresses data before it enters the LLM (HTML to Markdown, shortens long URLs, removes non-ASCII characters, etc.), reducing API call costs and latency by up to 80%.
• Built-in Model RoutingAutomatically assigns lightweight, strong inference, or visual models based on task type. One subscription covers multiple model capabilities, eliminating the need to manage multiple API keys.
• Complete toolchain, ready to use out of the boxBuilt-in web search, web scraping (Web Scraper), and code toolset (File System, Git, Lint, Test, Grep), it can be used without installing any additional plugins.
• Local Priority and Privacy ProtectionAll workflow data is stored locally with encryption, and it supports complete offline operation by connecting to local models via Ollama, without uploading data to the cloud.
• Optional agentmemory shared backendIt can be configured to share the same persistent memory storage with tools such as Claude Code, Cursor, and Codex, enabling cross-tool knowledge sharing.
• Message channel integrationSupports inbound/outbound message sending and receiving, opening up existing communication channels for users, and workflow data is always stored on the local device.

How to use OpenHuman

• Download and install from the official websiteVisit the OpenHuman website https://tinyhumans.ai/openhuman to download the corresponding DMG (macOS) or EXE (Windows) installer. Double-click to install and launch.
• Quick installation via command line (macOS / Linux x64): Execute in the terminal curl -fsSL https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.sh | bash Automatically complete the download and installation.
• Quick installation via command line (Windows): Execute in PowerShell irm https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.ps1 | iex Complete one-click installation.
• One-click connection to work applicationsAfter opening the application, it can be connected to 118+ third-party tools such as Gmail, Notion, GitHub, Slack, Calendar, and Drive with one click via OAuth. After authorization, data will be automatically synchronized every 20 minutes.
• Interact with the desktop mascotClick on the mascot image on the desktop to talk to it via voice or text. You can check "Speak replies" to have the AI reply via voice.
• View automatically synchronized memory dataWithin the application, you can view the context of emails, tasks, code repositories, etc. that the Agent has synchronized. The AI will automatically compress and organize them into a Memory Tree for subsequent conversations.
• Obsidian Knowledge Base BrowsingSynchronized data is automatically written to a local Obsidian-compatible Vault. By opening Obsidian, you can visualize and browse the AI-maintained knowledge network in the Graph View, or edit it manually. .md document.
• Use the built-in toolsetIt directly accesses out-of-the-box capabilities such as web search, web scraping, and code tools (file system, Git, Lint, Test, Grep), without requiring additional plugins.
• Accessing the local model (optional)For completely offline operation, deploy the model locally using Ollama and switch to the local model backend in the settings to achieve zero cloud dependency.

OpenHuman's project address

• Official website addresshttps://tinyhumans.ai/openhuman
• GitHub repositoryhttps://github.com/tinyhumansai/openhuman

OpenHuman's core advantages

• UI-first, minute-level learning curveA clean desktop experience with no terminal configuration required; the agent is ready to use in just a few minutes after installation, unlike competing products that prioritize the terminal.
• The context is at the minute level rather than the week level.Traditional agents require weeks to learn user habits, while OpenHuman can master the full compressed context of email, calendar, repository, documents, and messages with a single synchronization.
• One-stop subscription, zero API sprawlOne subscription covers all features, eliminating the need to purchase multiple model API keys separately.
• Obsidian knowledge base natively compatibleSynchronized data is automatically written to the Obsidian-compatible Vault, and users can browse and edit the AI-maintained knowledge graph within the familiar notes interface.
• Rust + Tauri high-performance architectureMemory usage is significantly lower than the Electron solution, with 69.7% Rust + 26.1% TypeScript builds.
• Open source and auditableLicensed under GPL-3.0, the code is completely transparent, and privacy-sensitive users can audit the data flow themselves.

Comparison of OpenHuman and similar competing products

Application scenarios of OpenHuman

• Cross-application project context integrationBy connecting to GitHub, Linear, Jira, and Slack simultaneously, AI can automatically compare code PRs, task boards, and team messages, summarizing the latest project progress with a single click, without the need to manually switch between multiple tools.
• Intelligent email filtering and summarizationAfter authorizing Gmail, AI automatically scans the inbox every 20 minutes, categorizes summaries by project or priority, quickly locates important emails that need a reply, and filters out low-value information.
• AI Meeting AssistantAllow desktop mascots to join Google Meet as real attendees, record meeting content in real time, extract action items, and provide attendee background information based on a memory bank to assist communication.
• Intelligent Q&A in Code RepositoryAfter syncing GitHub repository data, you can directly ask the AI about code logic, reasons for historical changes, and points of contention in PR comments. The agent will provide accurate answers based on the complete code context.
• Building an Obsidian Personal Knowledge BaseAutomatically compress and archive emails, documents, and chat logs into Obsidian-compatible formats. .md The document visualizes the knowledge network in Graph View, creating a Karpathy-style LLM knowledge base.
• Multi-tool workflow automationAfter connecting to tools such as Notion, Calendar, Drive, and Stripe, AI automatically associates "calendar events → related documents → corresponding emails → financial records" to form a complete project context chain.