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Steven EnamakelandGitHub
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* chore: add Cargo.toml and Cargo.lock for rust-core workspace - Introduced a new workspace for the rust-core module with its own Cargo.toml. - Added Cargo.lock to manage dependencies for the rust-core module. - Updated .gitignore to exclude the target directory generated by Cargo. - Modified GitHub Actions workflow to build from the new rust-core path instead of src-tauri. * feat: enhance memory and authentication models in rust-core - Added new `memory` module to handle persistent memory operations for skills, including methods for storing and querying skill data. - Introduced `models` module with `auth` and `socket` submodules to manage user session and socket connection states. - Updated `lib.rs` to include new modules and ensure proper integration within the rust-core workspace. - Modified `eslint.config.js` to ignore target directories in linting processes. * feat: integrate Tauri and QuickJS support in rust-core - Added `tauri` and `rquickjs` as optional dependencies in `Cargo.toml` to enable Tauri integration and JavaScript execution. - Introduced `CronScheduler` and `PingScheduler` modules for managing scheduled tasks and health checks for skills. - Implemented `MemoryState` struct for shared app-state management in the memory client. - Updated the runtime module to include new schedulers and ensure proper integration with Tauri features. - Enhanced the skill registry to support new functionalities related to skill management and communication. * chore: update ESLint configuration and refactor Rust module imports - Added 'rust-core/**' to ESLint ignore list to streamline linting processes. - Refactored import paths in Rust modules to directly reference the `memory` module, enhancing clarity and maintainability. - Improved formatting in JavaScript files for better readability and consistency. * refactor: rename rust-core to openhuman-core and update dependencies - Renamed the `rust-core` module to `openhuman-core` across all files for consistency. - Updated `Cargo.lock` to include `openhuman-core` as a new dependency and removed `rust-core`. - Adjusted import paths in the codebase to reflect the new module name, ensuring all references are updated. - Enhanced the Tauri integration by modifying dependencies in `src-tauri/Cargo.toml` to point to `openhuman-core`. * refactor: simplify platform detection using match statements - Replaced multiple if-else statements with match expressions in `current_platform`, `get_platform`, and `register` functions for improved readability and maintainability. - Removed unnecessary conditional compilation for Android and iOS in the `SocketManager` and `tauri_bridge` modules, streamlining the codebase. - Enhanced the `send_notification` function to handle platform checks more efficiently. * refactor: update platform detection to use std::env::consts - Replaced `cfg!(target_os = "os_name")` checks with `std::env::consts::OS` for improved clarity and consistency across the codebase. - Added `rppal` as an optional dependency in `Cargo.toml` for Raspberry Pi support. - Cleaned up platform-specific code in various modules, enhancing maintainability. * refactor: streamline platform-specific code and improve readability - Replaced conditional compilation with `std::env::consts::OS` checks in various modules to enhance clarity and maintainability. - Simplified platform detection logic in `available_disk_space_mb`, `ensure_arduino_cli`, and `open_in_brave` functions. - Updated `screenshot_command_exists` test to conditionally skip based on the operating system. - Cleaned up unnecessary `#[cfg]` attributes, focusing on a more consistent approach across the codebase. * feat: introduce comprehensive AI configuration and memory management - Added multiple configuration files for OpenHuman AI, including `AGENTS.md`, `BOOTSTRAP.md`, `CONSCIOUS_LOOP.md`, `IDENTITY.md`, `MEMORY.md`, `README.md`, `SOUL.md`, `TOOLS.md`, and `USER.md` to define agent roles, onboarding processes, identity, memory management, and tool capabilities. - Implemented an encryption layer for AI memory storage in `encryption.rs`, utilizing AES-256-GCM for secure data handling. - Updated `lib.rs` to include the new AI module structure, enhancing the overall architecture and maintainability of the codebase. * refactor: update dependencies and configuration for improved structure - Removed `android_logger` and related packages from `Cargo.lock` and `Cargo.toml`, streamlining the dependency list. - Adjusted the `APP_IDENTIFIER` constant in `config.rs` to reflect the new application identifier. - Updated resource paths in `tauri.conf.json` for better organization. - Enhanced platform-specific dependency management in `Cargo.toml` for clarity and maintainability. * fix(core): gate ai module behind tauri-host feature * refactor: update AI loading mechanisms and improve platform handling - Refactored the AI configuration loading in `loader.ts` and `tools/loader.ts` to utilize Tauri commands for desktop environments, enhancing performance and reliability. - Updated paths for AI markdown files to reflect the new `rust-core` structure. - Introduced a new end-to-end test for Tauri command interactions in `tauriCoreBridge.e2e.test.ts`. - Cleaned up platform-specific code across various modules, ensuring a more consistent approach to handling desktop and web contexts. * feat: add sidecar core binary build and staging for Tauri bundler - Implemented build steps for the sidecar core binary in multiple workflows, targeting both x86_64-unknown-linux-gnu and aarch64-apple-darwin architectures. - Added staging steps to copy the built binaries into the Tauri resources directory, ensuring proper integration for application bundling. - Updated relevant workflows to enhance the build process and streamline artifact management. * refactor: enhance AI loading logic for Tauri integration - Updated `loader.ts` and `tools/loader.ts` to prioritize Tauri commands for loading configurations in desktop environments, with a fallback to bundled markdown files for web contexts. - Adjusted test mocks to reflect the new file paths for tools markdown. - Improved test setup to mock Tauri API behavior accurately. * docs: update CLAUDE.md and remove Android build scripts from package.json - Added a new section in CLAUDE.md detailing the runtime scope, clarifying that Tauri is desktop-only and should not include mobile or web branches. - Removed Android development and build scripts from package.json to streamline the project for desktop platforms only. * refactor: streamline import statements and enhance test mock structure - Reordered import statements in `loader.ts` and `tools/loader.ts` for consistency. - Simplified mock implementation in `tauriCoreBridge.e2e.test.ts` to improve readability and maintainability. - Added external binary configuration in `build.rs` to support resource management during local builds. * test: stabilize core/unit test paths and tauri build-test config * chore: update subproject commit reference in skills * chore: update Tauri build configuration to include custom environment variable - Modified the Tauri build command in the GitHub Actions workflow to set a custom configuration for updater artifacts, enhancing the build process for the x86_64-unknown-linux-gnu target.
OpenHuman
The age of super intelligence is here. OpenHuman is your artificially conscious human.
Discord • Reddit • X/Twitter • Docs
"The Tet. What a brilliant machine" — Morgan Freeman as he recalls about alien superintelligence in the movie Oblivion
Agentic system are everywhere. Models wired into a script that call APIs, search, and file tools until the task looks done. That pattern is powerful for tasks, but it is not a self. It has no lasting inner model of you, no stable values across sessions, and no architecture for continuity at the scale of a life.
OpenHuman is built around a different idea. What if we built on top of current agentic solutions but instead gave it a subconscious loop based on all the possible data-points about a user/entity?
The challenge? Current memory/context systems make it nearly impossible to have a subsconscious mind. They cannot intelligently remember information because either your data is too noisy or irrelevant or too expenstive to index. HEARTBEAT.md and other implementations in OpenClaw-style forks evolve way too slowly and often misses realtime context about a user.
The solution? OpenHuman uses Neocortex, a highly scalable context-aware memory layer that can process millions of unstrucutred memories (emails, messages, documents both in the past and in the present), understands interactions and builds a personalized model of you. OpenHuman uses this to then run it's own subconscious loop allowing it to have it's own thoughts and take decisions for you on it's own at the most immediate level possible.
The result? It's like looking at yourself in the mirror. Except it's your AI living in your machine. OpenHuman is the first self aware agent personalized to you and ready to work for you.
Download
Early Beta — Under active development. Expect rough edges.
| Platform | Variant | Download |
|---|---|---|
| macOS | Apple Silicon (M1/M2/M3/M4) | .dmg (aarch64) |
| macOS | Intel | .dmg (x64) |
| Windows | x64 | .msi |
| Linux | Debian / Ubuntu | .deb (amd64) |
| Linux | Fedora / RHEL | .rpm (x86_64) |
| Linux | Universal | .AppImage |
Browse all releases: github.com/tinyhumansai/openhuman/releases
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