Steven EnamakelandGitHub
ffb4c8924b
* feat: initialize OpenHuman overlay with log viewer and Tauri integration - Added a new overlay project for OpenHuman, featuring a transparent window with a log viewer. - Implemented core components including TitleBar, ModuleFilter, LogViewer, and StatusBar for enhanced user interaction. - Integrated Tauri for desktop application capabilities, allowing for real-time log monitoring and management. - Configured TypeScript, Tailwind CSS, and Vite for a modern development experience. - Included necessary files such as package.json, tsconfig.json, and README.md to guide setup and usage. * refactor: update async task spawning in Tauri integration - Replaced `tokio::spawn` with `tauri::async_runtime::spawn` for improved compatibility with Tauri's async runtime. - This change enhances the integration of the OpenHuman core server within the Tauri application, ensuring better performance and stability. * feat: implement click-through toggle in overlay title bar - Added a click-through toggle feature to the TitleBar component, allowing mouse events to pass through the overlay. - Updated the App component to manage the click-through state and handle its toggling. - Enhanced the MODULE_LABELS in types.ts to include additional known modules for filtering. - Modified Tauri backend to support the click-through functionality, ensuring proper state management and event handling. * feat: implement audio transcription functionality in overlay - Added audio recording and transcription capabilities to the overlay, allowing users to capture and transcribe speech. - Introduced functions for audio processing, including converting audio blobs to WAV format and handling audio streams. - Updated the App component to manage recording states and display transcription results. - Enhanced the user interface with a microphone icon indicating recording status. - Adjusted window dimensions and properties in the Tauri configuration for improved user experience. * feat: enhance transcript insertion and logging in overlay - Implemented a new function to insert transcribed text into the currently focused field of the active application, improving user experience. - Added detailed logging for overlay actions, including recording start/stop events and transcript insertion attempts, to aid in debugging and monitoring. - Updated the App component to utilize the new insertion functionality and log relevant information during transcription processes. * feat: implement macOS Globe/Fn key listener integration - Added a new Globe/Fn key listener feature for macOS, enabling the application to respond to Globe key events. - Implemented functions to start, poll, and stop the Globe listener, enhancing user interaction with the overlay. - Updated the App component to manage the listener's lifecycle and display relevant status messages. - Modified Tauri configuration to adjust overlay visibility settings for improved user experience. - Introduced a new module for Globe listener management, encapsulating related functionality and improving code organization. * feat: add macOS support for accessory activation policy and create Info.plist - Introduced a new Info.plist file to configure macOS application settings. - Implemented accessory activation policy for the overlay on macOS, enhancing user experience by allowing the app to run in the background without a dock icon. - Updated the application setup to include macOS-specific configurations for improved functionality. * feat: enhance overlay debug state and UI components - Introduced new interfaces for managing accessibility and autocomplete statuses, improving the structure of debug information. - Implemented a polling mechanism to refresh the overlay debug state, capturing accessibility and autocomplete data in real-time. - Updated the App component to display active application and window titles, along with autocomplete suggestions and phases. - Adjusted the overlay dimensions in Tauri configuration for better user experience and visibility. - Enhanced logging for debug snapshot updates, aiding in monitoring and troubleshooting. * refactor: improve code formatting and readability in accessibility and screen intelligence modules - Reformatted code in `globe.rs`, `ops.rs`, `schemas.rs`, and `types.rs` for better clarity and consistency. - Enhanced logging statements and function definitions to follow a more uniform style. - Updated imports in `types.rs` to maintain organization and improve accessibility module integration.
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:
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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.
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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.
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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.
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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.
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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.
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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.
| 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 |
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