Steven EnamakelandGitHub
5ecc7cbc75
* chore: update dependencies and remove unused packages - Removed several unused dependencies from package.json, including `@tauri-apps/plugin-shell`, `@types/react-router-dom`, `immer`, `qrcode.react`, and `@testing-library/user-event`. - Updated the Vite configuration to exclude `telegram` from the optimizeDeps include list. - Cleaned up yarn.lock by removing references to deleted packages. - Deleted outdated GitHub Actions workflows for macOS ARM64 build, package and publish, and update changelog. * refactor: consolidate CLI binaries and update configurations - Renamed the main binary from `openhuman-core` to `openhuman` for consistency across the project. - Removed the `openhuman-cli` and `openhuman-core` binaries, consolidating functionality into the new `openhuman` binary. - Updated build configurations in GitHub Actions and Tauri to reflect the new binary name and paths. - Adjusted the Tailwind and Vite configurations to point to the correct HTML and source directories. - Introduced a new method in the Rust core server for handling JSON-RPC calls, enhancing the API structure. * chore: update subproject commit reference in skills * chore: update Rust test workflow and improve CLI command formatting - Modified the GitHub Actions workflow to include a new job for running Rust tests in the workspace. - Updated the `test:rust` command in `package.json` to run tests for the entire workspace. - Refactored CLI command definitions in `openhuman.rs` for improved readability by consolidating struct fields into single lines. * chore: enhance E2E testing scripts and workflows - Updated `.prettierignore` to exclude the `rust-core` directory. - Added new E2E testing commands in `package.json` for running all flows and improved formatting commands to include `cargo fmt`. - Enhanced GitHub Actions workflows to streamline E2E testing, including new scripts for running individual specs and all flows sequentially. - Refactored existing E2E scripts to utilize a common function for running tests, improving maintainability and readability. - Introduced a new script for resolving Node.js and Appium dependencies, ensuring compatibility for E2E tests. - Cleaned up and simplified existing E2E scripts by removing redundant code and consolidating functionality. * chore: update GitHub Actions workflows for Tauri build process - Modified build and release workflows to reference the correct target directory for Rust binaries, ensuring compatibility with the Cargo workspace structure. - Adjusted caching configuration in the test workflow for consistency and improved readability. - Standardized environment variable formatting in the test workflow to enhance clarity. * fix: standardize string formatting in GitHub Actions workflows - Updated the test workflow to use single quotes for cache configuration and environment variables, enhancing consistency across the file.
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
Under the hood (Architecture)
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