mirror of
https://github.com/tinyhumansai/openhuman.git
synced 2026-07-28 13:32:23 +00:00
ceb03fb2bc539f14e82f9727bb5bc1f2b90874e0
7
Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
|
|
dde4d6fce7 |
feat: add platform detection and support for mobile in ModelDownloadProgress and SkillsGrid components
- Integrated the @tauri-apps/plugin-os to detect mobile platforms (Android and iOS) in both ModelDownloadProgress and SkillsGrid components. - Updated rendering logic to display mobile-specific messages, indicating that certain features are available only on desktop. - Enhanced package.json and yarn.lock to include the new plugin dependency for platform detection. - Adjusted capabilities configuration to support the new plugin across desktop and mobile platforms. |
||
|
|
c96b617d32 |
Feat/javscript skills (#26)
* chore: add simulation function for deep link testing in development - Introduced a simulation function for deep links in the development environment to facilitate testing. - The function allows developers to simulate deep link URLs without affecting production behavior. * feat: implement QuickJS skill runtime integration - Added a new QuickJS skill runtime engine to manage skill execution within the application. - Introduced commands for skill management, including discovery, starting, stopping, and querying skill states. - Implemented a SQLite database bridge for each skill to handle data storage. - Enhanced the application structure with new modules for runtime management, skill instances, and manifest parsing. - Updated dependencies in Cargo.toml and Cargo.lock to support new features. * refactor: improve code readability and formatting in DownloadScreen and deviceDetection - Enhanced the button className formatting in DownloadScreen for better readability. - Reformatted the fetchLatestRelease and parseReleaseAssetsByArchitecture functions in deviceDetection for improved clarity and maintainability. - Utilized multiline formatting for complex conditions to enhance code structure. * feat: integrate Rust-native Socket.io client for persistent connections - Implemented a SocketManager in Rust to handle Socket.io connections, ensuring persistence across app backgrounding. - Updated SocketProvider to connect/disconnect using Rust-native methods in Tauri mode. - Enhanced Tauri event listeners for socket state changes and server events. - Refactored socket handling logic to differentiate between web and Tauri modes, improving maintainability and clarity. - Added new commands for connecting, disconnecting, and emitting events through the Rust socket. * refactor: remove Telegram login commands and related functionality - Deleted the startTelegramLogin and startTelegramLoginWithUrl functions from the Tauri commands. - Removed associated references in the Rust command module and utility file. - This cleanup simplifies the codebase by eliminating unused Telegram login features. * feat: add cron scheduling functionality for skills - Introduced a new CronScheduler to manage scheduled tasks for skills, allowing for cron expression parsing and execution. - Added a cron bridge to expose scheduling methods to skill contexts, enabling skills to register, unregister, and list cron schedules. - Updated the RuntimeEngine to initialize and manage the cron scheduler, ensuring it runs in the background. - Enhanced skill instances to support cron scheduling through a new BridgeDeps structure. - Updated dependencies in Cargo.toml and Cargo.lock to include the cron crate. * feat: add Android support and enhance dependencies - Introduced Android-specific build and run commands in package.json for Tauri. - Updated Cargo.toml to include OpenSSL for Android and adjusted reqwest for cross-platform TLS support. - Added new mobile capabilities configuration for Android and iOS. - Implemented a foreground service in the Android app to maintain the Rust backend process. - Added various Android resources including layouts, icons, and notification handling. - Updated Cargo.lock with new dependencies for improved functionality. * chore: update .gitignore and AndroidManifest.xml for deep link support - Added .kotlin and .cargo to .gitignore to exclude Kotlin and Cargo build artifacts. - Updated AndroidManifest.xml with comments for the deep link plugin, clarifying its auto-generated nature. * feat: enhance store configuration for development testing - Added functionality to auto-inject a JWT token from environment variables during development. - Implemented automatic onboarding for users once their profile is fetched, improving the testing experience. * feat: enhance socket connection handling and add Android logging support - Updated the Rust socket connection command to accept an optional URL parameter, allowing for dynamic backend URL configuration. - Integrated Android logging capabilities using the android_logger crate, ensuring logs are properly routed to logcat. - Improved error handling in the SocketManager to log connection errors and successful connections for better debugging. * feat: implement notification permission handling and enhance foreground service in Android - Added runtime permission request for POST_NOTIFICATIONS in MainActivity to comply with API 33+ requirements. - Updated RuntimeService to specify foreground service type for API 34+ compatibility. - Improved logging levels in the Rust backend for better debugging and monitoring of socket connections and skill discovery. * feat: integrate QuickJS skill management and service - Added QuickJS skill hooks for retrieving and managing QuickJS skills from Redux. - Implemented a QuickJS service to handle skill lifecycle, preferences, and IPC calls with the Rust backend. - Enhanced the skills state in Redux to include QuickJS skills, enabling better management and state tracking. - Updated the store configuration to persist QuickJS skills state across sessions. - Introduced new commands in the Rust backend for enabling/disabling skills and managing preferences. - Improved the SkillProvider to initialize the QuickJS service during app startup. * refactor: transition skill management to QuickJS runtime - Removed legacy skill catalog and loading logic, replacing it with QuickJS runtime integration for skill discovery and management. - Updated SkillProvider to utilize QuickJS for skill registration and lifecycle management. - Simplified skill data handling by directly invoking the Rust backend for skill operations. - Enhanced error handling and logging for skill loading processes. - Cleaned up unused interfaces and functions related to previous skill management methods. * refactor: remove unused skill commands and plugins - Deleted the skills command module and related functions to streamline the codebase. - Removed dependencies on the tauri-plugin-shell and other unused plugins from Cargo.toml and Cargo.lock. - Updated the authentication module by removing the exchange_token function and its associated structures. - Simplified the capabilities configuration by eliminating shell-related permissions. - Enhanced the runtime engine to support new JSON-RPC commands for skill data management. * feat: expose whitelisted environment values to skills - Added `platform.env(key)` function to retrieve whitelisted environment values for skills. - Implemented `get_skill_env` function to provide access to `BACKEND_URL` and `PLATFORM`. - Updated `get_backend_url` to check for `VITE_BACKEND_URL` before falling back to `BACKEND_URL`. - Enhanced the QuickJS runtime to support the new environment functionality. * feat: fix skills enable/disable flow, setup pipeline, and status derivation - Add SkillSetup struct to Rust manifest and include setup field in discovery response so the frontend knows which skills need setup - Map setup field in SkillProvider discoverSkills() - Fix SkillsGrid to use real hasSetup from manifest instead of hardcoding false - Add contextual Enable/Setup/Configure/Retry buttons in management modal - Add status indicator dots to compact skill table rows - Fix deriveConnectionStatus to return "connected" for ready skills with completed setup that don't push host state (e.g. cron-based skills) - Add select option renderer in SkillManagementPanel for non-boolean options - Add dotenvy crate to load .env file at Rust startup so env vars like VITE_BACKEND_URL are available to the runtime engine and skills Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * feat: add platform support for skills and enhance manifest handling - Introduced platform filtering for skills in the SkillManifest, allowing skills to specify supported platforms. - Updated QuickJSManifest and runtime engine to handle platform checks, ensuring skills are only loaded on compatible platforms. - Added new build and watch commands for skills in package.json to streamline development. - Enhanced the Rust backend to log unsupported skills based on platform restrictions. * feat: update skills submodule with TypeScript pipeline and test harness Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * feat: transition from QuickJS to V8 runtime for skill management - Replaced QuickJS with V8 (via deno_core) for improved JavaScript execution and WASM support. - Updated skill management logic to utilize the new V8 runtime, including changes to the RuntimeEngine and skill instance handling. - Enhanced manifest handling to support the new runtime and added platform compatibility checks. - Introduced new dependencies and updated Cargo.toml to reflect changes in the skill execution environment. - Refactored related modules and commands to align with the V8 integration, ensuring a seamless transition for skill operations. * refactor: clean up dead code in IdbStorage and enhance ops module - Removed unused `#[allow(dead_code)]` annotations from the IdbStorage struct and its methods to improve code clarity. - Introduced new timer and WebSocket state management structures in the ops module, laying groundwork for future enhancements. - Added timer and WebSocket operation functions, including `op_timer_start`, `op_timer_cancel`, and WebSocket connection handling, to support asynchronous operations. * feat: implement high-level TDLib service with V8 integration - Introduced a new `TdlibV8Service` to manage TDLib client instances using the V8 runtime. - Added a `MockTdClient` for development and testing, simulating TDLib responses for various queries. - Enhanced the bootstrap script to initialize and manage TDLib clients, including methods for sending queries and retrieving authentication states. - Updated the `mod.rs` file to include the new service module and improved documentation for clarity. - Refactored existing code to support the new TDLib integration, ensuring a seamless experience for skill management. * refactor: update V8 runtime integration and platform handling - Updated the V8 runtime integration to ensure it is only available on desktop platforms, with appropriate error handling for mobile. - Refactored the `SocketManager` and command implementations to conditionally include desktop-only features, enhancing clarity and maintainability. - Cleaned up the `Cargo.toml` to reflect the changes in V8 runtime availability and added relevant documentation. - Removed dead code related to mobile platform handling in the TDLib integration, ensuring a streamlined codebase. * chore: update skills submodule to latest commit - Updated the skills submodule to the latest commit (19a18e8), ensuring alignment with recent changes and improvements in the codebase. * refactor: transition from QuickJS to V8 runtime for skill management - Updated the skills submodule to the latest commit, reflecting the transition from QuickJS to V8 for improved JavaScript execution. - Refactored skill management logic to utilize the V8 runtime, including changes to the RuntimeEngine and skill instance handling. - Enhanced manifest handling to support the new runtime and updated platform compatibility checks. - Removed dead code related to QuickJS, ensuring a streamlined codebase. - Updated comments and documentation to reflect the changes in runtime integration. * feat: enhance logging and update timer operations in V8 integration - Added logging for skill discovery and manifest processing in the V8 runtime, improving traceability during skill management. - Updated timer operation functions to use new prefixed names (`op_ah_timer_start` and `op_ah_timer_cancel`) to avoid conflicts with deno_core built-ins. - Implemented a mechanism to load .env files from various locations, ensuring environment variables are available for configuration. - Enhanced the `get_backend_url` function to include debug logging for better visibility of the backend URL resolution process. * chore: update skills submodule to latest commit and enhance logging - Updated the skills submodule to the latest commit (54c40a1), ensuring alignment with recent changes. - Added console logging for skill manifests during discovery in the SkillsGrid component to improve debugging and traceability. * refactor: clean up and format code in DownloadScreen and SkillsGrid components - Improved code readability by formatting multi-line statements in the DownloadScreen and SkillsGrid components. - Removed unnecessary type imports in DownloadScreen for clarity. - Enhanced the structure of the SkillsGrid component by adjusting the layout of JSX elements for better maintainability. - Updated socketService to ensure consistent import order and improved logging in TauriSocket utility functions. * chore: update development script in package.json - Replaced the existing setup-python-sidecar script with a new dev:app script to streamline the development process for Tauri applications, enabling better debugging with RUST_BACKTRACE and RUST_LOG settings. * refactor: update load method to accept additional parameters - Modified the load method in SkillRuntime to accept an optional additionalParams argument, enhancing flexibility for skill loading. - Ensured compatibility by using a fallback to an empty object when additionalParams is not provided. * refactor: improve JSX structure in SkillsGrid component - Enhanced the formatting of the connection status indicator in the SkillsGrid component for better readability. - Adjusted the indentation and spacing to maintain consistent code style and improve maintainability. --------- Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com> |
||
|
|
e2833f27e0 |
Adopt supermemory patterns into AI memory system (#11)
* Add submodule for skills and initialize skills repository - Created a new .gitmodules file to include the skills submodule. - Initialized the skills submodule with a commit reference, linking to the skills repository on GitHub. This update integrates the skills component into the project, enhancing the AI system's capabilities. * Implement subscription billing UI with Stripe and Coinbase integration Replace the placeholder BillingPanel with a working subscription billing interface. Users can view their current plan and token usage, upgrade via Stripe (card) or Coinbase (crypto, annual-only), and manage subscriptions through Stripe's Customer Portal. Adds billing API service and types. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * Add unified skill system with core type definitions and management features - Introduced a comprehensive skill system that includes lifecycle management, tool definitions, state management, entity extensions, and intelligence rules. - Implemented a skill state manager using Zustand for managing skill-specific state. - Created an entity extension registry for registering new entity and relation types. - Developed an intelligence engine for evaluating rules and executing actions based on events. - Established a unified tool registry to streamline tool management across various integrations. This update enhances the AI system's capabilities by providing a robust framework for skill management and interaction. * Add billing helpers and refactor BillingPanel for improved plan management - Introduced a new `billingHelpers.ts` file containing plan metadata, utility functions for plan management, and pricing calculations. - Refactored `BillingPanel` to utilize the new billing helpers, streamlining the display of plan information and pricing. - Added unit tests for billing helpers to ensure functionality and correctness of plan-related operations. This update enhances the billing system's structure and maintainability, providing a clearer separation of concerns for plan management. * Enhance skill management system with new features and integrations - Added path aliases in `tsconfig.json` for improved module resolution. - Updated `vite.config.ts` to include skill types path for better integration. - Integrated `SkillsProvider` into the application to manage skill lifecycle, including registration and activation of virtual skills like Telegram, bulk operations, and reminders. - Implemented a unified skill system with a new orchestrator for managing skill states and tool definitions. - Enhanced bundled skill loading mechanism to utilize a unified skill system, improving the overall architecture and maintainability. This update strengthens the skill management framework, enabling better organization and functionality within the AI system. * Adopt supermemory patterns into AI memory system Port 5 patterns from claude-supermemory reference implementation to fill gaps in the existing memory pipeline: 1. Tool observation compression — compress verbose tool outputs before compaction summarization and memory flush, saving tokens and signal 2. Categorized memory context — render memory as structured XML with profile facts, recent context, and search results with dedup 3. Relative timestamps — surface updated_at from FTS chunks and display human-readable relative times in search results 4. Memory deduplication on write — filter duplicate facts before appending to memory files during flush 5. Auto-capture on session end — lightweight memory flush for short sessions that never trigger compaction Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * Refactor TelegramMCPServer to delegate entirely to unified tool registry The server was still maintaining its own tool map with 80+ handler entries and legacy fallback paths. Now it delegates all tool listing and execution to skillOrchestrator.toolRegistry, matching the architecture established in the skills system. Updated tests to mock the unified registry instead of individual tool handlers. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * Consolidate skill system and migrate Telegram state to Zustand Remove legacy skill implementations (src/lib/ai/skills/, src/lib/mcp/skills/) and consolidate everything into the unified skill orchestrator at src/lib/skills/. Add runtime skill subprocess support with stdio JSON-RPC transport for Python/Node/Deno skills. Key changes: - Delete old SkillRegistry, installer, loader, runner, frontmatter parser - Delete MCP skills layer (bulk.ts, reminders.ts, index.ts) and move skill definitions to src/lib/skills/definitions/ - Add RuntimeHost and StdioTransport for subprocess-based skills - Add shell plugin (tauri-plugin-shell) with scoped permissions for python3, node, deno, npx executables - Extend orchestrator with runtime skill lifecycle (spawn, load, activate, tick, deactivate, shutdown) and reverse RPC handling - Add overrideTier parameter to enforceRateLimit for unified registry - Decouple prompt system from old SkillEntry type - Remove old SkillRegistry from AIProvider - Migrate Telegram state functions from Redux dispatch to Zustand store - Add Telegram Zustand store, selectors, actions, migration utilities - Add hello-python example skill Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * Migrate Telegram state from Redux to Zustand Replace the Redux telegram slice with a Zustand store using immer middleware. All 49 reducers ported as store methods, 5 thunks converted to standalone async functions, and 30+ selectors migrated to Zustand hooks and plain functions. Updates all consumers: services, API helpers, tool adapters, and UI components. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * Refactor skill management and remove Telegram components - Updated TODO.md to include integration of the payments flow. - Refactored App.tsx to remove unused TelegramProvider and SkillsProvider, streamlining the component structure. - Deleted obsolete test fixtures related to Telegram state and skills, including mcpContext.ts, rootState.ts, telegramState.ts, and TelegramConnection components. - Removed legacy skill loading and entity extension files, consolidating the skill system into a unified orchestrator. - Updated documentation to reflect changes in skill management and structure. This commit enhances the overall architecture by eliminating deprecated components and improving the skill management framework. * Update skills submodule to latest commit 22e42c9, ensuring alignment with the current project structure and dependencies. * Integrate Python skills system with JSON-RPC IPC and interactive setup UI Wire the Python skills runtime into the Tauri frontend via the shell plugin, communicating over JSON-RPC 2.0 stdin/stdout. Replace "Coming Soon" Telegram entries in onboarding and settings with a live setup wizard that drives the skill's multi-step authentication flow. - Phase 0: Create skill.py SkillDefinition for Telegram, update __main__.py to use SkillServer (MCP preserved via --mcp flag) - Phase 1: Add skills lib (types, transport, runtime, manager, paths), Redux skillsSlice with persistence, setup UI components (SetupFormRenderer, SkillSetupWizard, SkillSetupModal) - Phase 2: Add SkillProvider to provider chain, Rust skill data I/O commands - Phase 3: Tool bridge for AI registry integration in AIProvider Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * Update skill management and billing helpers - Updated skills submodule to the latest commit, ensuring alignment with project dependencies. - Refactored SkillSetupWizard to ensure the skill is running before starting the setup flow, improving user experience. - Adjusted billingHelpers test to import PlanTier from the correct path, enhancing type safety. - Modified embedQuery method in NullEmbeddingProvider to accept a parameter, improving method signature clarity. These changes enhance the overall functionality and maintainability of the skill management and billing systems. * Enhance deep link handling and skill setup error management - Added a note in CLAUDE.md regarding the requirement to run the .app for deep link testing on macOS. - Introduced a simulation feature for deep links in development mode within desktopDeepLinkListener.ts. - Updated SkillSetupWizard to throw descriptive errors if a skill fails to start, improving error handling and user feedback. These changes improve the development experience and robustness of the skill setup process. * Add Python sidecar setup script and update dependencies - Introduced a new script `setup-python-sidecar.mjs` to symlink the system Python to the Tauri runtime for local development. - Updated the `package.json` to include a new npm script for setting up the Python sidecar. - Changed the version specification for `@tauri-apps/plugin-shell` from `^2` to `~2` for more controlled updates. - Updated the `tauri.conf.json` to include the new Python sidecar in the external binaries list. - Updated the skills submodule to the latest commit for alignment with project dependencies. These changes enhance the development workflow for Python skills integration and improve dependency management. * Update skills submodule to latest commit and modify TODO.md - Updated the skills submodule to the latest commit for better alignment with project dependencies. - Added a note in TODO.md to skip the connect account page and redirect to the home page during the payment flow integration. These changes ensure the project remains up-to-date and clarify the next steps for the payment flow implementation. * Refactor Python sidecar integration and enhance skill runtime management - Updated `setup-python-sidecar.mjs` to symlink system Python to `src-tauri/runtime-skill-python-<target>` for local development. - Introduced new commands in Rust for retrieving the current working directory and virtual environment site-packages for Python skills. - Modified `SkillTransport` to support spawning skills using the sidecar for bundled runtimes, improving the execution flow. - Updated `tauri.conf.json` to reflect changes in external binaries and added documentation for the Python sidecar setup. - Adjusted skill management to ensure proper error handling and logging during skill execution. These changes streamline the development process for Python skills and enhance the overall robustness of the skill management system. * Enhance skill connection indicators and logging - Added a new `TelegramConnectionIndicator` component to display real-time connection status for the Telegram skill. - Integrated `useSkillConnectionStatus` hook across various components to provide unified connection status for skills. - Updated `ConnectionsPanel` and `ConnectStep` to utilize the new connection status logic, improving user feedback during skill setup. - Enhanced logging in `SocketService` and `SocketProvider` for better debugging and error tracking. - Introduced utility functions for sanitizing sensitive data before logging, ensuring security during error handling. These changes improve the user experience by providing clear connection statuses and enhance the robustness of the logging system. * Remove console logging from SocketProvider for cleaner code - Eliminated console log statements related to socket connection and disconnection events, as well as error handling, to streamline the codebase. - This change enhances the maintainability of the SocketProvider component by reducing unnecessary logging clutter. * Enhance SocketService with MCP transport and tool management - Introduced `SocketIOMCPTransportImpl` for handling client-server MCP requests, improving communication efficiency. - Updated the `mcp:listTools` event to aggregate tools from all ready skills, providing a comprehensive tool list in response to requests. - Enhanced the `mcp:toolCall` event to validate tool name formats and handle tool calls asynchronously, improving error handling and logging. - Added a method to retrieve the MCP transport instance, enhancing the SocketService's functionality. These changes improve the robustness and usability of the SocketService in managing MCP interactions. * Remove logger service and replace with debug package in SocketService - Deleted the custom logger implementation in favor of using the `debug` package for logging in the SocketService. - Updated the SocketService to enable logging based on the development environment, improving debugging capabilities. These changes streamline the logging process and enhance the maintainability of the codebase. * Add SkillsGrid component to enhance skill management interface - Introduced a new SkillsGrid component to display a grid of skills with connection statuses and setup options. - Implemented skill icons and status badges for better visual representation of skill states. - Integrated skills catalog loading functionality to dynamically fetch and display available skills. - Updated Home component to include the SkillsGrid, improving user interaction with skills. These changes enhance the user experience by providing a clear and interactive skills management interface. * Update skills submodule and add skills catalog JSON - Updated the skills submodule to the latest commit for improved functionality. - Introduced a new `skills-catalog.json` file containing detailed descriptions and configurations for various skills, enhancing the skills management system. - Enhanced the `SkillsGrid` component to validate skill names, ensuring they do not contain underscores, which are reserved for tool namespacing. These changes improve the robustness of the skills management interface and ensure better adherence to naming conventions. * Update skills submodule and modify tool name formatting in SocketService - Updated the skills submodule to the latest commit for improved functionality. - Changed the tool name formatting in SocketService to use double underscores instead of single underscores, enhancing clarity in tool identification. These changes ensure better alignment with naming conventions and improve the overall functionality of the skills management system. * Add DownloadScreen component and update Welcome page - Introduced a new DownloadScreen component to provide users with platform-specific download options for the application. - Updated the Welcome page to conditionally display the DownloadScreen for web users while showing the Telegram login button for Tauri users. - Modified the greeting text and adjusted layout for improved user experience. These changes enhance the onboarding process by offering clear download options based on the user's platform. * Enhance AppRoutes and Welcome component for web detection - Added logic in AppRoutes to determine if the application is running on the web or Tauri, using the `isTauri` utility. - Updated the Welcome component to accept a prop indicating the platform, allowing for tailored rendering based on the environment. - This change improves the onboarding experience by providing a more context-aware interface for users depending on their platform. * Refactor SkillsGrid and Home components for improved clarity - Removed unused Telegram and Gmail connection indicators from the Home component to streamline the interface. - Simplified the SkillCard function in SkillsGrid by renaming the description parameter for better clarity. - These changes enhance code readability and maintainability by eliminating unnecessary components and improving parameter naming. --------- Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com> |
||
|
|
632ecc05b7 |
Add comprehensive documentation for application architecture, state management, services layer, MCP system, pages and routing, components, and providers
- Introduced detailed architecture overview outlining system components and entry points. - Documented state management using Redux Toolkit and Redux-Persist, including store configuration and slice structures. - Described services layer architecture, detailing API client, socket service, and MTProto service functionalities. - Explained the Model Context Protocol (MCP) system, including tool categories and implementation examples. - Outlined routing structure and page components, emphasizing protected and public routes. - Organized reusable components by feature, detailing their structure and usage. - Provided insights into provider management for service lifecycle and shared state. This documentation enhances understanding of the application's structure and improves onboarding for new developers, ensuring clarity in the system's design and functionality. |
||
|
|
28480ab531 |
Update application icon and implement macOS background execution features
- Replaced the favicon in index.html with a new alpha.svg icon. - Enhanced package.json with new macOS-specific build and run scripts for Tauri. - Added a comprehensive macOS background execution implementation, including a system tray menu and autostart functionality. - Updated Tauri configuration to support tray icon and macOS private API features. - Introduced new capabilities for autostart and tray management in the application. This update improves the user experience on macOS by providing a seamless background execution feature and a visually updated application icon. |
||
|
|
098cf17d44 |
Add deep link functionality and backend integration for authentication
- Introduced @tauri-apps/plugin-deep-link for handling deep link events - Implemented setup for deep link listener in main application entry - Enhanced Login page to support Telegram authentication via deep links - Created utility functions for building and handling deep links - Added configuration for backend URL management - Updated Tauri configuration to support deep link plugin This update enhances the user experience by allowing seamless transitions between web and desktop applications through deep linking. |
||
|
|
577ffcd27c | Initialize Tauri application with React and TypeScript setup, including essential configuration files, project structure, and initial assets. Added .gitignore, package.json, and README.md for project documentation and setup instructions. |