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Steven EnamakelandGitHub bfaabd3b86 fix/rename (#20 )

* chore: update AlphaHuman version to 0.49.3 and configure updater plugin in tauri.conf.json

- Bumped the AlphaHuman package version in Cargo.lock to 0.49.3.
- Added updater configuration in tauri.conf.json to enable automatic updates with specified endpoints.

* refactor: rename AlphaHuman to OpenHuman across the codebase

- Updated all instances of "AlphaHuman" to "OpenHuman" in comments, tooltips, and constants to reflect the new branding.
- Adjusted relevant documentation and prompts to ensure consistency with the new name.

* refactor: update documentation and configurations to reflect OpenHuman branding

- Replaced all instances of "AlphaHuman" with "OpenHuman" in documentation, comments, and configuration files to ensure consistency with the new branding.
- Updated deep link URLs and related authentication flows to use the new "openhuman://" scheme.
- Adjusted paths and references in the skills system and other related files to align with the new project name.te

* refactor: standardize OpenHuman references and update configurations

- Replaced all instances of "AlphaHuman" with "OpenHuman" across documentation, comments, and configuration files to maintain branding consistency.
- Updated URLs and paths to reflect the new "openhuman://" scheme.
- Adjusted environment variable names and related settings to align with the new project identity.
- Enhanced documentation for clarity and accuracy regarding the OpenHuman framework.r

* chore: update subproject commit reference in skills directory

* refactor: update backend URL to reflect new service domain

- Changed default backend URL from "https://api.openhuman.xyz" to "https://api.tinyhumans.ai" in both JavaScript and Rust configuration files.
- Ensured consistency across the codebase regarding the new backend service endpoint.

* feat: introduce identity and migration modules for OpenHuman

- Added a new identity module to support AIEOS v1.1 JSON format, including structures for identity, psychology, linguistics, motivations, capabilities, physicality, history, and interests.
- Implemented a migration module to facilitate data migration from OpenClaw memory, including SQLite and Markdown sources, with detailed reporting on migration statistics and warnings.
- Established utility functions for handling multimodal content and image processing within the OpenHuman framework.
- Enhanced the agent system with new dispatcher and classifier functionalities to improve tool management and message classification.

* chore: remove Android project files and configurations

- Deleted various Android project files including .editorconfig, .gitignore, build.gradle.kts, gradle.properties, and others to clean up the project structure.
- Removed all related resources, layouts, and source files from the Android app directory to streamline the codebase.
- This cleanup is part of a larger effort to refactor and simplify the project structure.

* refactor: update login flow and remove Telegram integration

- Removed the TelegramLoginButton component and its references from the OAuthLoginSection, streamlining the login options.
- Updated the AppRoutes to remove the login route, reflecting changes in the authentication flow.
- Enhanced the RotatingTetrahedronCanvas component with improved geometry and lighting effects for better visual presentation.
- Adjusted the TypewriterGreeting component's styling for consistency.
- Cleaned up the Welcome page to integrate the OAuthLoginSection directly, improving user experience.

* chore: update subproject commit reference in skills directory

* chore: update test configurations and improve test assertions

- Modified test scripts in package.json to use a specific Vitest configuration file for consistency.
- Updated assertions in loader tests to ensure loading durations are non-negative.
- Enhanced tool loading tests to clarify expected behavior regarding localStorage and cache management.
- Adjusted agent tool registry tests to improve error handling and ensure accurate statistics.
- Refined device detection tests to reflect updated fallback URLs.

* fix: enhance parameter formatting and remove unused components

- Updated the `formatParameters` function to handle cases where schema properties are empty, returning a more informative response.
- Deleted the `DownloadScreen` component and associated device detection utilities to streamline the codebase and remove unused functionality.
- Adjusted tests to reflect changes in the tool loading and agent tool registry, ensuring accuracy in assertions.

* chore: simplify Vitest configuration by removing unused include patterns

- Updated the Vitest configuration to remove unnecessary test file patterns, streamlining the test setup for better clarity and maintainability.

* refactor: update paths and comments for AI configuration and file watching

- Modified Vite configuration to ignore only the `src-tauri` directory.
- Updated logging messages to reflect the correct path for writing AI configuration files.
- Adjusted fetch calls in the file watcher to use the new path for `TOOLS.md`.
- Revised comments and logic in Rust code to clarify the handling of AI configuration file paths, including legacy fallback options.

* chore: remove unused updater secrets from GitHub Actions workflow

- Deleted UPDATER_GIST_URL and UPDATER_GIST_ID environment variables from the package-and-publish workflow, streamlining the configuration.

* chore: comment out Vitest thresholds for clarity

- Commented out the thresholds section in the Vitest configuration to improve clarity and maintainability, as it is currently not in use.

* ran formatter

* chore: update updater public key in tauri configuration

- Replaced the existing public key in the updater plugin configuration with a new value to ensure proper functionality and security.

* chore: update ESLint configuration and refactor components

- Added `localStorage` and `sessionStorage` as readonly globals in ESLint configuration for better linting support.
- Removed unused imports from `SkillsPanel.tsx` to clean up the code.
- Changed the type of `watcherInterval` in `file-watcher.ts` for improved type safety.
- Refactored toast management logic in `Intelligence.tsx` to enhance clarity and maintainability.
- Simplified import statements in `IntelligenceProvider.tsx` for consistency.
- Streamlined object property shorthand in `agentToolRegistry.ts` for cleaner code.

* refactor: improve error handling and type safety in Intelligence component

- Enhanced toast notification logic to defer state updates, preventing potential issues with setState in effects.
- Updated the source filter dispatch to use a more specific type for improved type safety.

* refactor: enhance type safety across various components and services

- Updated type definitions from `any` to `unknown` in multiple files to improve type safety and prevent potential runtime errors.
- Refactored state management in `TauriCommandsPanel` to use more specific types.
- Adjusted context and parameters in several interfaces to ensure consistent typing.
- Added ESLint directive to `polyfills.ts` for intentional global assignments.
- Streamlined type handling in utility functions and API responses for better clarity and maintainability.

* refactor: streamline import statements and improve code clarity

- Consolidated import statements in `agentToolRegistry.ts` and `intelligenceSlice.ts` for better readability.
- Simplified the `createTestStore` function in `test-utils.tsx` to enhance code conciseness.
- Cleaned up the `isExecutionStepProgressEvent` function in `intelligence-chat-api.ts` for improved clarity and maintainability.

2026-03-26 17:04:46 -07:00

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Architecture

OpenHuman is built on the OpenClaw architecture and open-sourced under the GNU GPL3 license. This page explains how the major components connect.

The three pillars

OpenHuman's architecture rests on three pillars that work together:

Neocortex is the memory engine. It ingests data from connected sources, builds knowledge graphs, manages tiered memory, and provides the recall capabilities that power both conscious queries and subconscious processing. Detailed in Neocortex.

Multi-agent orchestration distributes work across specialized agents rather than relying on a single monolithic model. An orchestrator agent manages routing, personality, and context distribution. Specialist agents handle specific domains: communication analysis, document synthesis, task management, trading. Agents execute in parallel, not sequentially, enabling real-time responsiveness.

Privacy-preserving inference ensures that raw data never leaves the user's device. Data is encrypted on-device with AES-256-GCM. Encryption keys never leave the device. Only compressed metadata and summaries are processed server-side. Detailed in Privacy & Security.

How data flows

Ingestion. Data arrives from connected sources: Telegram, Slack, Gmail, Notion, blockchain wallets, and others. Each source has its own connector that handles authentication and data retrieval.
Compression. Neocortex processes raw data on-device. Semantic deduplication removes noise. Entity resolution links references across sources. Temporal weighting prioritizes recency. The output is a compressed knowledge graph, not raw text.
Storage. The knowledge graph is stored in Neocortex's tiered memory system. Raw data is discarded after compression. Only structured metadata and summaries persist.
Conscious processing. When you make a request, the orchestrator routes it to the appropriate specialist agent(s). Those agents query Neocortex for relevant context, process your request, and return a result.
Subconscious processing. Independent of your requests, the subconscious system triggers periodic memory recalls from Neocortex. These feed into a self-learning loop that surfaces proactive insights, patterns, and recommendations.
Output. Results are presented to you directly or exported to connected tools like Notion and Google Sheets. Only structured, compressed intelligence leaves the device. Raw data never does.

Model-agnostic design

OpenHuman is not locked to any single AI model. The compression engine and memory layer sit on top of the AI infrastructure, not inside it. Today the system works with specific models. Tomorrow it could feed context to any model: GPT, Claude, Gemini, Llama, Mistral, or whatever comes next.

This is a deliberate architectural choice. AI models are commoditizing. Performance is converging. The real differentiator is the context you feed the model, and OpenHuman owns the context layer.

Open source

OpenHuman is publicly available on GitHub under the GNU GPL3 license.

GitHub: github.com/tinyhumansai/openhuman Neocortex benchmarks: github.com/tinyhumansai/neocortex/tree/main/benchmarks

Contributions, feedback, and issues are welcomed. The project is in early alpha.

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