Steven EnamakelandGitHub 0f2530bcbf feat(core): in-process mistral.rs local runtime for qwen3.5-1b (#46)
* feat(core): add in-process mistral.rs local AI runtime (qwen3.5-1b)

* style: apply pre-push formatting for local-ai changes

* feat: add Local Model panel and navigation support

- Introduced a new Local Model panel for managing local AI runtime, including status monitoring and download options.
- Updated settings navigation to include 'local-model' route.
- Enhanced AIPanel and Home components to integrate local model management features.
- Improved error handling in Tauri commands for local AI operations.
- Updated subproject reference in skills.

* fix: enhance error handling in local model management

- Improved error handling mechanisms in the Local Model panel to provide clearer feedback during AI runtime operations.
- Updated relevant components to ensure consistent error reporting and user notifications.
- Refactored code to streamline error management processes across local model features.

* feat(local-ai): improve local runtime bootstrap, status UX, and qwen defaults

* feat(core): introduce CoreRunMode for process management

- Added CoreRunMode enum to support in-process and child process execution modes.
- Updated CoreProcessHandle to manage tasks and child processes based on the selected run mode.
- Enhanced process spawning logic to differentiate between in-process server and dedicated core binary execution.
- Improved error handling for process readiness checks in both run modes.

* refactor: clean up unused imports and streamline runtime module exports

- Removed unused HashMap import from runtime.rs to enhance code clarity.
- Updated runtime module exports to only include necessary components, simplifying the interface for consumers.
- Changed variable name in llm_generator.rs for clarity without altering functionality.

* refactor: streamline runtime module exports by consolidating imports
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OpenHuman

The age of super intelligence is here. OpenHuman is your artificially conscious human.

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Early Beta Platforms: desktop only Latest Release

The Tet

"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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Description
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Readme GPL-3.0
218 MiB
Languages
Rust 59.1%
TypeScript 37.9%
JavaScript 1.6%
Shell 1.2%
CSS 0.1%