17 Commits

Include renames

Author	SHA1	Message	Date
Steven EnamakelandGitHub	36fc5bdfa6	refactor(tauri): reduce desktop host to sidecar lifecycle + deep-link (#84) ... * feat(onboarding): introduce DEV_FORCE_ONBOARDING flag to control onboarding flow - Added DEV_FORCE_ONBOARDING configuration to bypass onboarding checks during development. - Updated onboarding logic in AppRoutes to respect the new flag, ensuring onboarding is always shown when enabled. - Introduced new utility functions for managing onboarding state based on the flag. - Updated Cargo.lock and Cargo.toml to reflect dependency changes and version updates. - Removed deprecated openhuman command module and refactored related functionalities into daemon_host module for better organization. * feat(daemon): refactor daemon health monitoring and window management - Updated DaemonHealthService to use polling via `openhuman.health_snapshot` instead of event listening for health updates. - Introduced a new focusMainWindow function to centralize window focus logic across deep link handling and Tauri commands. - Replaced `invoke` calls with direct window management methods for showing, hiding, and toggling the main window. - Removed deprecated core_rpc module and related commands for improved organization and clarity. - Updated Cargo.toml and Cargo.lock to reflect dependency changes. * refactor(daemonHealthService): streamline imports and simplify tool object structure - Moved the import of `callCoreRpc` to a more appropriate location in DaemonHealthService. - Simplified the structure of the tools object in the aiGetConfig function for better readability. - Ensured consistency in Tauri command invocations by removing unnecessary line breaks.	2026-03-30 11:41:29 -07:00
M3gA-Mind	8751d36f14	Enhance TypeScript testing configuration ... - Updated ESLint configuration to include unit test files with TypeScript and JSX support. - Modified tsconfig.json to include test files for better type checking. - Added a new tsconfig.unit.json for unit tests, specifying necessary types and includes. - Adjusted vitest.config.ts to include the new test file patterns for comprehensive testing coverage.	2026-03-30 19:36:57 +05:30
Steven EnamakelandGitHub	244702d349	Feat/refactor UI code (#52) ... * Enhance autocomplete functionality and settings panel - Added a new AutocompletePanel component for managing inline autocomplete settings, including options for enabling/disabling, debounce timing, and style configurations. - Integrated autocomplete status tracking and logging within the panel to provide real-time feedback on the autocomplete engine's state. - Updated settings navigation to include the new autocomplete settings route, improving user accessibility to autocomplete features. - Introduced new Tauri commands for managing autocomplete operations, including start, stop, and current status retrieval, enhancing interaction with the autocomplete engine. - Refactored existing code to streamline autocomplete-related functionalities and improve overall maintainability. * Update TypeScript configuration and add new assets - Modified `tsconfig.json` to adjust path aliases and include directories for improved module resolution. - Added new SVG and image assets to the public directory, enhancing the application's visual resources. - Introduced multiple Lottie animation JSON files for dynamic UI elements, expanding the application's animation capabilities. * Update project structure and paths for Tauri integration - Adjusted paths in the pull request template and various workflow files to reflect the new project structure, moving Tauri-related files under the `app` directory. - Updated commands in the build and release workflows to ensure compatibility with the new file locations. - Enhanced the test workflow to create the necessary `.env` file in the correct directory for end-to-end testing. - Added new markdown files for agent prompts and configuration, establishing a foundation for OpenHuman's AI capabilities. * Refactor project paths and update configurations for Tauri integration - Adjusted script paths in package.json to reflect the new project structure, ensuring compatibility with the updated directory layout. - Modified tsconfig.json to correct path aliases and include directories for improved module resolution. - Introduced a new utility for resolving development paths, enhancing the ability to locate the `rust-core/ai` directory across different project structures. - Updated Cargo.toml and tauri.conf.json to align with the new directory structure, ensuring proper resource and dependency management. - Added a new dev_paths module to streamline path resolution logic, improving maintainability and clarity in the codebase. * Refactor project structure and update configurations for Tauri integration - Adjusted paths in .gitignore, Cargo.toml, and various scripts to reflect the new directory layout, moving Tauri-related files under the `app` directory. - Introduced a new package.json file to manage workspace scripts and dependencies effectively. - Updated end-to-end build and run scripts to ensure compatibility with the new project structure. - Enhanced documentation in CONTRIBUTING.md to guide contributors on the updated project organization and Tauri command usage. * Refactor Tauri command invocations to use dedicated utility functions - Replaced direct `invoke` calls with utility functions from `tauriCommands` for improved readability and maintainability across multiple components. - Updated `SkillsGrid`, `Skills`, `SkillProvider`, and `SkillManager` to utilize the new command structure, enhancing consistency in Tauri command handling. - Introduced a new `coreRpcClient` for managing core RPC relay requests, streamlining error handling and request processing. - Added a new `core_rpc_relay` command in the Tauri backend to facilitate communication with the core service, ensuring better service management and error reporting. * Refactor Tauri command invocations in intelligence stats and memory manager - Replaced direct `invoke` calls with utility functions from `tauriCommands` in `useIntelligenceStats` and `MemoryManager` for improved readability and maintainability. - Updated the `aiListMemoryFiles`, `aiReadMemoryFile`, and `aiWriteMemoryFile` functions to utilize the new command structure, enhancing consistency in Tauri command handling. - Introduced new command handling in the Rust backend for `ai.list_memory_files`, `ai.read_memory_file`, and `ai.write_memory_file`, streamlining communication with the core service. * Refactor SkillsGrid and remove SelfEvolveModal component - Removed the SelfEvolveModal component to streamline the SkillsGrid functionality. - Updated the SkillsGrid to utilize the runtimeDiscoverSkills function for loading skills, replacing the previous invoke method. - Simplified the skill entry normalization process by integrating it directly into the skills loading logic. - Enhanced error handling during skill loading to improve robustness and user feedback. * Refactor Tauri command invocations to use coreRpcClient - Replaced direct `invoke` calls with `callCoreRpc` in various components, including `useIntelligenceStats`, `MemoryManager`, `SessionManager`, and `transcript` functions, enhancing code readability and maintainability. - Updated the Rust backend to handle new command structures for memory and session management, streamlining communication with the core service. - Improved consistency in handling Tauri commands across the application. * Refactor Tauri command invocations to utilize coreRpcClient - Replaced direct `invoke` calls with `callCoreRpc` in `tauriCommands.ts` and `tauriSocket.ts`, enhancing code readability and maintainability. - Updated the Rust backend to support new command structures for authentication and session management, streamlining communication with the core service. - Removed legacy socket reporting methods in `tauriSocket.ts`, reflecting a shift towards event-driven socket state management. - Improved consistency in handling Tauri commands across the application, aligning with recent refactoring efforts. * Remove pre-commit hook and update TODO list with completed tasks and new objectives. This includes separating the binary from the Tauri codebase, integrating accessibility service installation, and removing Android/iOS support from the codebase. * Add core server functionality with dispatch and RPC handling - Introduced new modules for core server operations, including dispatching RPC requests and handling various AI and memory-related commands. - Implemented a robust structure for managing authentication, configuration, and session states through the `openhuman` namespace. - Added helper functions for loading configurations, managing memory files, and processing authentication profiles. - Established a new routing system using Axum for handling HTTP requests, including health checks and RPC endpoints. - Enhanced error handling and logging throughout the new functionalities to improve maintainability and user feedback. * Implement core server CLI and modular structure - Introduced a new CLI module for the core server, enabling various commands for server management, health checks, and configuration settings. - Established a modular structure for core server functionalities, including dispatching RPC requests and managing settings for models, memory, and runtime. - Added comprehensive tests to validate the functionality of accessibility and autocomplete commands, ensuring robust error handling and schema compliance. - Enhanced the overall organization of the core server codebase, improving maintainability and readability. * Implement AI RPC dispatch functionality - Introduced a new `ai_rpc` module for handling various AI-related commands, including memory file operations and session management. - Enhanced the `try_dispatch` function to support commands such as listing, reading, writing memory files, and managing session states. - Updated the core server dispatch module to integrate the new AI RPC functionality, improving modularity and maintainability. - Refactored existing code to ensure consistent parameter parsing and error handling across AI commands. * Update TODO list and refactor Rust core server files - Added new tasks to the TODO list for documentation updates and feature flag cleanup. - Introduced `Arc` import in `cli.rs` for improved concurrency handling. - Cleaned up imports in `helpers.rs` and added conditional compilation for `tauri-host`. - Removed unused `value_only` function in `types.rs` and added `#[allow(dead_code)]` to `SocketConnectParams` and `SocketEmitParams`. - Enhanced `try_dispatch` function in `dispatch/mod.rs` for non-tauri-host scenarios. - Updated `try_dispatch` in `openhuman/platform.rs` to correctly handle session parameters. - Modified `screen_intelligence` configuration in tests to include new properties for better session management. * Refactor import statements and enhance code readability - Cleaned up import statements across multiple files for improved organization and consistency. - Reformatted code in `cli.rs`, `helpers.rs`, and various dispatch modules to enhance readability. - Ensured consistent parameter handling in `try_dispatch` functions, improving maintainability. - Removed unnecessary whitespace and adjusted formatting for better code clarity. * Refactor project structure and enhance AI memory management - Consolidated the `openhuman-core` package into a single `Cargo.toml` file, removing the previous `rust-core` directory. - Introduced new modules for AI memory management, including filesystem-based storage and encryption functionalities. - Added Tauri commands for initializing memory and session management, enhancing user interaction with memory files. - Implemented JSON-based storage for memory chunks and session transcripts, improving data accessibility and organization. - Updated dependencies and features in `Cargo.toml` to support new functionalities and ensure compatibility. * Update build and release workflows to reflect project structure changes - Adjusted paths in GitHub Actions workflows to accommodate the consolidation of the `openhuman-core` package into a single `Cargo.toml`. - Updated import statements in various files to point to the new locations of markdown resources. - Modified the Tauri configuration to reflect the new resource paths, ensuring proper access to AI prompts. - Enhanced the staging script to build the standalone binary from the updated project structure. * Refactor AI directory resolution and update documentation - Updated the logic for resolving AI directory paths to reflect the new project structure, replacing references to `rust-core/ai` with `src/ai/prompts`. - Enhanced the `find_ai_directory` function across multiple modules to utilize the new path resolution methods. - Updated documentation comments to clarify the new directory structure and fallback mechanisms for loading AI prompts. * Rename `openhuman-core` to `openhuman` across the project - Updated package names in `Cargo.toml` and `Cargo.lock` to reflect the new naming convention. - Adjusted references in GitHub Actions workflows and scripts to use the new package name. - Modified CLI command names and error messages to align with the updated naming. - Ensured consistency in executable file names and paths throughout the codebase. * Refactor project commands and update package scripts - Updated package.json to change workspace references from `openhuman` to `app` for build, compile, dev, format, lint, and test scripts. - Removed outdated memory and chat command files to streamline the codebase and improve maintainability. - Adjusted the `lib.rs` file to reflect changes in memory command handling, transitioning to use `callCoreRpc` for Neocortex memory operations. - Cleaned up the commands module by removing unused imports and consolidating functionality. * Add Tauri host support and new daemon configuration - Introduced new modules for Tauri host functionality, including `desktop` and `daemon_host`. - Added static variables and initialization functions for managing the desktop app handle and resource directory. - Updated import paths for `HeartbeatEngine` to improve clarity and organization. - Implemented configuration loading and saving for daemon UI preferences, enhancing user experience. * Update package names in project configuration - Changed workspace references in package.json from `app` to `openhuman-app` for consistency. - Updated the name field in the app's package.json to reflect the new naming convention. * Remove Tauri host feature flags from core server modules - Eliminated conditional compilation for Tauri host in `lib.rs`, `helpers.rs`, and `dispatch` modules. - Streamlined socket management functions and dispatch logic by removing unused code related to Tauri host. - Improved code clarity and maintainability by consolidating socket-related functionality. * Enhance Tauri host feature integration and update dependencies - Added `tauri-host` as a default feature in `Cargo.toml` to streamline feature management. - Removed explicit feature flag from `openhuman` dependency in `app/src-tauri/Cargo.toml` for cleaner configuration. - Updated Tauri command attributes in various modules to conditionally compile with the `tauri-host` feature, improving modularity. - Expanded TODO list to include migration support from OpenClaw, indicating future development focus. * Refactor authentication and credential management in OpenHuman - Introduced new modules for handling authentication profiles and tokens, including `anthropic_token`, `openai_oauth`, and `profiles`. - Removed unused Tauri host-related code from core server modules, enhancing clarity and maintainability. - Updated `Cargo.toml` and `Cargo.lock` to reflect the removal of the `rquickjs` dependency and other package adjustments. - Streamlined memory client initialization in dispatch logic to utilize the new `local_memory` module. - Enhanced code organization by consolidating credential management functionalities and improving the overall structure of the OpenHuman module. * Enhance Rust core RPC structure and streamline helper functions - Introduced a dedicated `rpc.rs` file for each domain in the Rust core to manage JSON-RPC and CLI behavior, improving code organization and clarity. - Refactored helper functions to utilize `rpc_invocation_from_outcome` for consistent handling of RPC responses across various modules. - Removed unused authentication and credential management functions from `helpers.rs`, consolidating relevant logic into the new RPC structure. - Updated dispatch logic in multiple modules to leverage the new RPC functions, enhancing maintainability and reducing code duplication. * Enhance Rust core RPC structure and streamline helper functions - Introduced a dedicated `rpc.rs` file for each domain in the Rust core to manage JSON-RPC and CLI behavior, improving code organization and clarity. - Refactored helper functions to utilize `rpc_invocation_from_outcome` for consistent handling of RPC responses across various modules. - Removed unused authentication and credential management functions from `helpers.rs`, consolidating relevant logic into the new RPC structure. - Updated dispatch logic in multiple modules to leverage the new RPC functions, enhancing maintainability and reducing code duplication. * Refactor OpenHuman configuration loading and enhance onboarding RPC - Replaced the `load_openhuman_config` function with a new `load_config_with_timeout` method to improve timeout handling during configuration loading. - Consolidated configuration loading logic across various modules, reducing redundancy and enhancing maintainability. - Introduced new RPC functions for applying settings related to models, memory, screen intelligence, gateway, tunnel, runtime, and browser, streamlining the update process. - Added onboarding helpers in a new `onboard` module, including a JSON-RPC controller for model refresh operations, improving onboarding flow management. * Refactor CLI and configuration management in OpenHuman - Consolidated CLI-related functionality by introducing new modules for settings and credentials management, enhancing code organization. - Removed redundant functions and streamlined the configuration loading process, improving maintainability. - Added new CLI helpers for screenshot tools and workspace initialization, facilitating better user experience and onboarding. - Enhanced JSON-RPC responses to be more compatible with CLI requirements, ensuring consistent output across various commands. * Remove gateway settings and related functionality from OpenHuman - Eliminated the GatewaySettingsUpdate interface and associated functions from the codebase, streamlining configuration management. - Removed references to gateway settings in the CLI and configuration modules, enhancing clarity and maintainability. - Deleted the gateway module and its related components, including rate limiting and client handling, to simplify the architecture. - Updated Cargo.toml and Cargo.lock to reflect the removal of dependencies related to gateway functionality. * Update documentation and improve clarity in OpenHuman - Revised comments in the `mod.rs`, `traits.rs`, and `pairing.rs` files to enhance clarity and accuracy. - Updated descriptions related to security policy, long-running processes, and pairing functionality for better understanding. * Refactor loading prop in TauriCommandsPanel for cleaner code - Simplified the loading prop assignment in the TauriCommandsPanel component by removing unnecessary line breaks, enhancing readability and maintainability. * Add OpenSSL dependency and implement OAuth authentication features - Added OpenSSL as a dependency in `Cargo.toml` to support cryptographic operations. - Introduced new OAuth-related structures and parameters in `types.rs` for handling authentication flows. - Implemented OAuth connection and integration token fetching in `auth_socket.rs`, enhancing the authentication capabilities of the OpenHuman module. - Created new modules for managing authentication profiles and responses, improving the organization of authentication-related code. - Removed deprecated `anthropic_token` and `openai_oauth` modules to streamline credential management. - Updated `Cargo.lock` to reflect the addition of the OpenSSL dependency. * Refactor OpenHuman module and update dependencies - Added OpenHuman integration entry in the registry for improved backend inference handling. - Updated various files to enhance code clarity and organization, including adjustments to OAuth client methods and integration tests. - Refactored import statements and removed unnecessary line breaks for better readability. - Updated `Cargo.lock` to reflect changes in dependencies and ensure consistency across the project. * Implement desktop host features and refactor runtime handling - Introduced new modules for memory management, socket handling, and command definitions to support desktop host functionality. - Refactored QuickJS runtime initialization to log errors when the engine is not linked, improving clarity on runtime status. - Added placeholder commands for chat and model interactions, indicating unavailability in the desktop build while maintaining structure for future integration. - Enhanced organization of the codebase by creating dedicated files for runtime and utility functions, streamlining the development process. - Updated documentation to reflect new modules and their purposes, ensuring better understanding for future contributors. * Add CLI banner and print function to enhance user experience - Introduced a new CLI banner with branding and GitHub link for user engagement. - Implemented a `print_cli_banner` function to display the banner when running the CLI, improving visibility and user interaction. - Updated the CLI entry point to call the new banner function, ensuring it appears at startup. * Add API integration and update dependencies - Introduced new API modules for handling HTTP requests and WebSocket connections to the TinyHumans backend. - Added `ureq` dependency for simplified HTTP client functionality, updating `Cargo.toml` and `Cargo.lock` accordingly. - Implemented configuration and JWT handling in the new `api` module, enhancing session management and API interactions. - Refactored existing code to utilize the new API helpers, improving code organization and maintainability. - Updated documentation to reflect new API functionalities and usage guidelines. * Refactor settings fetching and update dependencies - Removed the `ureq` dependency and associated functions for fetching settings, streamlining the codebase. - Updated the `fetch_settings` method to utilize `reqwest` for HTTP requests, enhancing consistency and reliability in API interactions. - Adjusted the `Cargo.toml` to reflect the removal of `ureq`, ensuring dependencies are up to date. * Update `ureq` dependency to version 3.3.0 in `Cargo.lock` - Removed the specific version constraint for `ureq`, allowing for more flexibility in dependency resolution. - Updated the `Cargo.lock` to reflect the new version of `ureq`, ensuring compatibility with recent changes in the codebase. * Enhance JSON-RPC logging and CLI initialization - Introduced a new `rpc_log` module for structured logging of JSON-RPC requests and responses, including redaction of sensitive parameters. - Updated `execute_core_cli` to initialize logging with a default level and timestamp format. - Enhanced logging in `rpc_handler` and `dispatch` functions to provide detailed insights into method calls and their execution times. - Improved error handling logging to capture method failures with context, aiding in debugging and monitoring. * Refactor HTTP server setup and add integration tests - Introduced a new `build_core_http_router` function to encapsulate the HTTP routing logic, improving code organization and readability. - Updated the `run_server` function to utilize the new router function, streamlining server initialization. - Added comprehensive integration tests for the JSON-RPC API, ensuring robust functionality and error handling in real-world scenarios. * Enhance OpenHuman backend integration and refactor provider handling - Added support for the OpenHuman backend in the TauriCommandsPanel, including default configurations and validation for API keys. - Introduced a new REPL command in the CLI for interactive RPC communication, allowing for dynamic mode switching and message handling. - Refactored provider creation logic to streamline the integration of the OpenHuman backend, removing deprecated provider overrides and ensuring consistent usage across the codebase. - Updated various components to improve error handling and user feedback related to provider selection and API interactions. * Refactor provider handling and update default model settings - Removed provider override states from the AgentChatPanel and TauriCommandsPanel components, simplifying state management. - Updated local storage handling to exclude provider overrides, ensuring cleaner data storage. - Changed default model settings across various components and backend configurations to use "neocortex-mk1" as the new default model. - Enhanced error handling and validation logic in the TauriCommandsPanel, focusing on model and temperature settings. - Streamlined integration tests and removed deprecated provider validation logic to improve code clarity and maintainability. * Refactor code for improved readability and consistency - Adjusted formatting in several files to enhance code clarity, including consistent parameter passing and alignment. - Simplified match statement syntax in the `run_models` function for better readability. - Streamlined assertions in tests to maintain consistency in error handling checks. - Updated default model name handling in the `AgentBuilder` for cleaner initialization. * Refactor API URL handling and enhance error reporting - Updated the `effective_api_url` function to improve clarity in resolving the API base URL, incorporating environment variable checks. - Enhanced diagnostics in the configuration check to provide clearer messages regarding the API URL status. - Introduced new error formatting functions to improve the clarity of error messages related to API transport issues. - Refactored error handling in the OpenAiCompatibleProvider to utilize the new error formatting, ensuring consistent and informative error reporting. * Refactor API client initialization for consistency - Updated the instantiation of `BackendOAuthClient` to consistently pass the API URL by reference across multiple functions. - Simplified the match statement in the `run_models_refresh` function for improved readability. * Enhance REPL command handling and add fallback mechanisms - Improved error handling in the REPL command processing, providing clearer feedback for command execution failures. - Introduced a fallback mechanism for the `agent_chat` RPC call, allowing for graceful degradation to a simpler chat method or a direct backend curl transport if the primary call fails. - Added a new `backend_chat_via_curl` function to handle chat requests using curl as a last resort, ensuring continued functionality in case of RPC issues. - Updated the `agent_chat_simple` function to support model overrides and temperature settings, enhancing flexibility in chat interactions. * Update default Ollama model settings for consistency - Changed the default Ollama model and vision model to "gemma3:4b-it-qat" for improved alignment across configurations. - Ensured consistent model naming to enhance clarity in model usage within the local AI module. * Implement login token consumption and enhance error handling - Added functionality to consume login tokens via a new API endpoint, returning a JWT for authenticated sessions. - Improved error handling in the Conversations component, introducing a fallback mechanism for chat interactions when the primary method is unavailable. - Updated UserProvider to restore session tokens automatically, enhancing user experience during authentication. - Refactored thread API to support the new login token consumption logic, ensuring seamless integration with the backend. * Update HTTP client configuration to use Rustls TLS - Replaced the HTTP/1.1 only setting with Rustls TLS in the OpenAiCompatibleProvider's client builder for enhanced security. - Ensured consistent application of the new TLS setting across multiple client instances. * Add Local AI command support and enhance error handling - Introduced a new `LocalAi` command in the CLI for managing local AI runtime operations, including status checks, asset downloads, and prompt handling. - Added detailed argument structures for various local AI functionalities, improving command usability. - Enhanced error reporting in the `LocalAiService` by including response details in error messages for better debugging and user feedback. - Refactored existing error handling to provide clearer context on failures during API interactions. * Add local AI module with Ollama integration and model management - Introduced a new local AI module that includes functionality for automatic installation of the Ollama runtime across different operating systems (Windows, macOS, Linux). - Implemented model ID resolution and management, providing default settings for various AI models and ensuring compatibility with user configurations. - Added HTTP API structures and request handling for Ollama, enabling interaction with the local AI service for generating responses and managing assets. - Developed utility functions for parsing model outputs and managing workspace paths, enhancing the overall structure and usability of the local AI service. - Established a comprehensive service layer for managing local AI operations, including status tracking and error handling for improved user experience. * Refactor local AI service structure and enhance asset management - Simplified the local AI module by reorganizing the service structure, introducing new modules for model IDs, paths, and asset management. - Added comprehensive asset status tracking for various AI models, including chat, vision, embedding, STT, and TTS, with improved error handling. - Implemented methods for downloading models and assets, ensuring better management of local AI resources. - Updated visibility of service methods to enhance encapsulation and maintainability within the local AI service. * Enhance local AI module with new download progress tracking and unit tests - Added new structures for tracking download progress of various AI models, including detailed status and metrics. - Implemented unit tests for model ID resolution, parsing suggestions, and asset path resolution to ensure robust functionality. - Refactored service methods to improve encapsulation and maintainability, enhancing the overall structure of the local AI service. - Updated existing tests to cover new functionalities and ensure consistent behavior across the module. * Implement new local AI download functionalities and refactor model management - Added support for downloading all local AI assets and tracking download progress, enhancing user experience and resource management. - Introduced new RPC methods for fetching download progress and managing asset states, improving the overall functionality of the local AI module. - Refactored existing model management code to utilize the new model catalog, ensuring better organization and maintainability. - Updated relevant tests to cover new functionalities and ensure consistent behavior across the local AI service. * Add new interfaces and functions for local AI download progress tracking - Introduced `LocalAiDownloadProgressItem` and `LocalAiDownloadsProgress` interfaces to structure download progress data for various AI models. - Implemented `openhumanLocalAiDownloadAllAssets` and `openhumanLocalAiDownloadsProgress` functions to facilitate downloading all assets and tracking their progress. - Enhanced error handling for Tauri environment checks in new functions, ensuring robust operation within the local AI module. * Refactor agent loop structure and introduce modular components - Deleted the `loop_.rs` file and reorganized the agent loop into multiple modules for better maintainability and clarity. - Introduced new files for handling credentials, history management, tool instructions, memory context, and parsing logic. - Implemented functions for scrubbing sensitive credentials, managing conversation history, and building tool instructions. - Enhanced the overall structure of the agent loop to facilitate easier testing and future development. * Refactor authentication structure and migrate to credentials module - Moved authentication-related functionality from `auth_profiles` to a new `credentials` module for better organization and clarity. - Updated references in the API and core server to reflect the new module structure. - Introduced new data structures and methods for managing authentication profiles, including session support and response handling. - Removed the obsolete `auth_profiles` module to streamline the codebase and enhance maintainability. * Add screen intelligence module with capture and context management - Introduced new modules for screen capture and context management, specifically targeting macOS. - Implemented functionality to capture screen images and retrieve foreground application context. - Added data structures for managing application context and window bounds. - Established limits for screenshot sizes and context character counts to ensure efficient resource management. - Enhanced helper functions for input action validation and vision summary processing. - Set up a modular structure for better maintainability and future enhancements. * Refactor screen intelligence module and remove obsolete components - Deleted unused files related to screen intelligence, including context and permissions management, to streamline the codebase. - Refactored the capture functionality to improve organization and maintainability. - Updated function signatures for better clarity and consistency. - Enhanced the overall structure of the screen intelligence module for future development and testing. * Enhance autocomplete CLI functionality and refactor related code - Added new options for the autocomplete command in the CLI, allowing users to run the autocomplete loop in the current process or spawn a detached process. - Introduced `AutocompleteStartCliOptions` struct to encapsulate the new command-line arguments. - Refactored the `autocomplete_start_cli` function to handle the new options and improve process management for the autocomplete service. - Updated documentation in `CLAUDE.md` to clarify the separation of concerns between routing and controller logic in the codebase. * Enhance autocomplete error handling and improve focused text context retrieval - Added a new function to identify "no text candidate" errors, improving error management in the autocomplete engine. - Refactored the `focused_text_context` and `focused_text_context_verbose` functions to enhance clarity and reliability in retrieving application context. - Updated the return format of the `focused_text_context_verbose` function to use a separator for better data parsing. - Added a new TODO item for allowing users to select LLM model versions based on their CPU capabilities. * Remove Docker, Native, and WASM runtime implementations along with related traits and tests - Deleted the DockerRuntime, NativeRuntime, and WasmRuntime implementations to streamline the codebase. - Removed associated traits and factory functions for runtime creation. - Eliminated all related tests to ensure a clean removal of unused components. - This refactor aims to simplify the runtime management and prepare for future enhancements. * Add quickjs-runtime feature and introduce runtime module - Added a new feature flag for `quickjs-runtime` in `Cargo.toml` to enable its usage. - Created a new `runtime.rs` module to implement `NativeRuntime` and `DockerRuntime` with associated traits for runtime management. - Updated the `skills` module to reference the correct path for `SkillConfig`. - Removed the obsolete `skillforge` module from the `openhuman` namespace to streamline the codebase. - Enhanced the `skills` module with new structures and functions for managing skills, including initialization and loading logic. * Refactor autocomplete configuration to remove legacy disabled apps - Updated the default configuration for `AutocompleteConfig` to remove the legacy disabled apps ('terminal' and 'code'), allowing for broader usage of Codex/CLI. - Introduced a migration function to handle legacy disabled apps during configuration loading, ensuring custom user preferences remain intact. - This change enhances the flexibility of the autocomplete feature by preventing unnecessary restrictions on application usage. * Update rquickjs dependencies in Cargo.lock - Updated the rquickjs and rquickjs-core dependencies to versions 0.11.0 and 0.9.0 respectively, ensuring compatibility with the latest features and fixes. - Added new entries for rquickjs-sys and its corresponding version 0.9.0 to the dependency list, enhancing the project's runtime capabilities. - This update improves the overall stability and performance of the application by leveraging the latest improvements in the rquickjs ecosystem. * Add terminal application detection to autocomplete logic - Introduced a new function `is_terminal_app` to identify terminal applications based on their names, enhancing the autocomplete feature's context awareness. - Updated the `focused_text_context_verbose` function to allow terminal applications to bypass text role checks when the input value is not empty, improving user experience in terminal environments. - This change aims to provide better support for terminal-based applications in the autocomplete system. * Add terminal input context extraction and noise line detection - Introduced functions to identify terminal-like buffers and filter out noise lines in terminal input, enhancing the autocomplete engine's context awareness. - Updated the `focused_text_context` logic to utilize the new terminal context extraction, improving the handling of text in terminal applications. - Enhanced the `focused_text_context_verbose` function to better retrieve static text values from UI elements, ensuring accurate context representation in terminal environments. - These changes aim to improve user experience and functionality for terminal-based applications in the autocomplete system. * Enhance autocomplete engine state management and error handling - Added new fields `last_escape_down` and `last_overlay_signature` to `EngineState` for improved state tracking. - Implemented `try_reject_via_escape` method to handle escape key interactions, allowing users to reject suggestions more intuitively. - Updated error handling to display notifications for different states (ready, accepted, rejected, error) using `show_overflow_badge`. - Refactored state updates to ensure consistent management of suggestion and phase transitions, enhancing overall user experience in the autocomplete system. * Implement periodic status logging in autocomplete service - Added a polling mechanism to log the status of the autocomplete engine at regular intervals. - Enhanced logging to capture changes in phase, application name, suggestions, and errors, improving visibility during service execution. - Refactored the `autocomplete_start_cli` function to integrate the new logging functionality, ensuring a more informative user experience while the service is running. * Refactor memory dispatch logic and remove local memory implementation - Updated the memory dispatch functions to utilize the new `memory_rpc` module, enhancing the handling of memory operations such as document management and namespace queries. - Removed the local memory implementation, including database interactions and related functions, to streamline the codebase and improve maintainability. - Introduced new RPC calls for document operations (put, list, delete) and context queries, ensuring a more efficient and consistent approach to memory management. - This refactor aims to enhance the overall architecture and performance of the memory handling system. * Remove macOS-specific overflow badge functionality and related helper functions - Deleted the `show_overflow_badge` and `escape_applescript_string` functions, which were specific to macOS, to streamline the codebase. - Refactored the `show_overflow_badge` function to provide a no-op implementation for non-macOS platforms, enhancing cross-platform compatibility. - This change simplifies the autocomplete module by removing platform-dependent code, improving maintainability and clarity. * Enhance text application logic in autocomplete module - Updated the `apply_text_to_focused_field` function to improve interaction with focused UI elements on macOS. - The new implementation retrieves the current value of the focused element and appends the provided text, ensuring better handling of text input. - Enhanced error reporting to include stderr output when applying suggestions fails, improving debugging capabilities. - These changes aim to provide a more robust and user-friendly experience in the autocomplete functionality. * Refactor Landlock feature configuration for Linux support - Moved the `landlock` and `rppal` dependencies under a conditional target configuration for Linux in both `Cargo.toml` files, ensuring they are only included when building for Linux. - Updated the `landlock.rs` module to check for both the `sandbox-landlock` feature and the Linux target OS, improving the conditional compilation logic. - This change enhances cross-platform compatibility and ensures that Landlock functionality is only available on supported systems. * Update dependencies and enhance Tauri integration - Updated the Tauri dependency in `Cargo.toml` to include the `tray-icon` feature, enabling system tray support. - Introduced a new `rust-toolchain.toml` file to pin the Rust version to 1.93.0, ensuring compatibility with the matrix-sdk. - Modified GitHub workflows to use the specified Rust version from `rust-toolchain.toml` instead of the stable version, improving build consistency. - Refactored Tauri commands to utilize a new `wrapCommandResult` function for better response handling. - Added a new `tray` module in `openhuman` for managing system tray functionality, enhancing the desktop experience. - Updated various command implementations to streamline service management and improve error handling. * Refactor core process handling and enhance encryption features - Removed the `openhuman` dependency from `Cargo.lock` and `Cargo.toml`, streamlining the project structure. - Updated the core process handling to fall back to a child process when in-process execution is unavailable, improving error handling and logging. - Introduced new encryption commands (`ai_init_encryption`, `ai_encrypt`, `ai_decrypt`) to enhance security features, utilizing AES-GCM for data protection. - Added a new `tray` module for managing system tray functionality, improving user experience on desktop platforms. - Refactored various command implementations to improve service management and error handling, ensuring a more robust application architecture. * Remove unused modules and refactor daemon host configuration - Deleted the `daemon_host_config`, `memory`, `models`, `openhuman_daemon`, `tray`, `chat`, `conscious_loop`, and `runtime` modules to streamline the codebase. - Refactored the daemon host configuration logic into the `openhuman` module, consolidating related functionality. - Updated command implementations to utilize the new configuration methods, ensuring consistent handling of daemon host settings. - This cleanup enhances maintainability and reduces complexity in the project structure. * Refactor memory management and update Tauri dependencies - Removed the `tray-icon` feature from the Tauri dependency in `Cargo.toml` to streamline the configuration. - Deleted the `core:tray:default` capability from the default capabilities JSON, simplifying the capabilities structure. - Refactored memory handling in tests to utilize `UnifiedMemory` instead of `SqliteMemory`, enhancing consistency across memory operations. - Updated memory store, recall, and forget functionalities to support a global namespace, improving memory management and retrieval processes. - Enhanced error handling and logging in memory operations to provide clearer feedback during execution. * Remove AI encryption commands and related functionality - Deleted the `ai_init_encryption`, `ai_encrypt`, and `ai_decrypt` functions to streamline the codebase and remove unused features. - Updated the command registration in the `run` function to reflect the removal of these encryption commands, enhancing maintainability and reducing complexity. * Add OAuth integration token handling and channel connection management - Introduced functions to fetch and encrypt integration tokens using OAuth, enhancing security for token management. - Updated the channel connections API to support OAuth integration, including listing, connecting, and disconnecting channels. - Implemented checks for supported channels and authentication modes, improving the robustness of channel connection handling. - Enhanced error handling for integration token retrieval to ensure required fields are present before proceeding. * Refactor project structure and update documentation - Renamed the project from "Outsourced" to "OpenHuman" and revised the project summary to reflect its focus on AI-powered assistance for crypto communities. - Restructured the repository layout, detailing the purpose of each directory and its contents. - Updated runtime scope to clarify platform support and Tauri's desktop-only focus. - Enhanced documentation across various files, including architecture, services, and routing, to improve clarity and usability for contributors. - Removed outdated sections and streamlined commands for development and production builds, ensuring consistency in the documentation. * Implement REPL session management and multimodal support - Introduced a new REPL session management system, allowing for session-specific interactions with agents. - Added functions for starting, chatting, resetting, and ending REPL sessions, enhancing user experience and control. - Implemented multimodal message handling, enabling the processing of images alongside text in user messages. - Updated the project structure to include new modules for identity and multimodal functionalities, improving organization and maintainability. - Enhanced error handling and logging for session operations, providing clearer feedback during execution. * Refactor memory store implementation and introduce unified memory management - Removed the legacy memory store implementation and replaced it with a new unified memory management system. - Introduced a `MemoryClient` for handling document storage, retrieval, and namespace management. - Added support for key-value storage and graph data structures within the unified memory framework. - Enhanced the `UnifiedMemory` struct with methods for document upsertion, querying, and namespace operations. - Updated the project structure to include new modules for memory types, factories, and traits, improving organization and maintainability. - Improved error handling and logging across memory operations for clearer feedback during execution. * Implement QuickJS skill instance management - Removed the previous QjsSkillInstance implementation and replaced it with a new modular structure. - Introduced separate modules for event loop management, instance handling, JavaScript handlers, and utility functions. - Enhanced the event loop to efficiently manage QuickJS runtime tasks, including timer callbacks and message processing. - Added support for asynchronous tool calls and lifecycle management within the QuickJS context. - Improved error handling and logging throughout the new implementation for better debugging and user feedback. - Updated documentation to reflect the new structure and functionality of the QuickJS skill instance.	2026-03-29 10:30:18 -07:00
Steven EnamakelandGitHub	37991fc567	refactor: split tauri host from openhuman_core runtime (#43) ... * 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.	2026-03-27 13:30:32 -07:00
Steven Enamakel	2b157615a6	chore: update workflows and configuration ... - Added `tauri.key` and `tauri.key.pub` to .gitignore. - Removed Telegram-related environment variables from CLAUDE.md and documentation. - Updated GitHub Actions workflows to use the latest version of `tauri-action`. - Deleted legacy version bump workflow and added a new changelog update workflow. - Introduced a script for testing release workflows locally.	2026-03-26 14:57:29 -07:00
cyrus	ae187de9d1	feat: introduce agent system types, execution panel, and service tests ... - Added new `AgentSystem` types to support enhanced agent execution, tool tracking, API compatibility, and integration with thread system. - Developed `AgentExecutionPanel` React component for detailed real-time monitoring of agent execution status and history. - Created comprehensive tests for `AgentLoopService` covering execution flow, tool integration, error handling, and timeout scenarios.	2026-03-10 00:40:00 +05:30
3 people	069638a746	Replace Playwright with Appium mac2 + WebDriverIO E2E and add unit tests (#110) ... * Replace Playwright with Appium mac2 + WebDriverIO for E2E testing and add unit tests - Remove Playwright config and old e2e/ directory - Add WebDriverIO + Appium mac2 driver for true native macOS app testing - Add wdio.conf.ts with platform-aware app path detection - Add scripts/e2e.sh to manage Appium lifecycle under Node 24 - Add E2E smoke, navigation, and Tauri integration specs - Add tsconfig.e2e.json for E2E test TypeScript config - Add unit tests for components, store slices, selectors, services, and utils - Add test infrastructure (setup.ts, MSW handlers, test-utils) - Update vitest.config.ts with coverage thresholds and setup - Update package.json scripts and dependencies Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * Update skills submodule to latest Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-13 00:53:43 +05:30
Steven Enamakel	aeb9626db1	Update .gitignore, refactor UI components, and enhance model download logic ... - Added CLAUDE.local.md to .gitignore to prevent local configuration files from being tracked. - Refactored the App component layout for improved responsiveness and user experience. - Updated ModelDownloadProgress to include a new `isDownloaded` state for better visibility of download status. - Simplified SettingsHome by commenting out unused functions and improving the organization of settings options. - Adjusted PrivacyPanel to ensure analytics settings are correctly evaluated. - Modified various page components to use `min-h-full` for consistent height management across the application.	2026-02-06 01:59:56 +05:30
Steven EnamakelandGitHub	ceb03fb2bc	Fix/prod build (#51) ... * chore: add CI secrets management and local testing script - Added ci-secrets.example.json to provide a template for CI secrets configuration. - Introduced test-ci-local.sh script to facilitate local testing of the package-and-publish workflow using act. - Updated .gitignore to exclude the actual ci-secrets.json file containing sensitive tokens. * chore: enhance local testing and environment loading scripts - Added scripts to load environment variables from .env and JSON files, improving local development setup. - Introduced ci-event.json to simulate GitHub event payloads for local CI testing. - Updated test-ci-local.sh to utilize the new event JSON for better integration with local testing workflows. - Modified .gitignore to include ci-secrets.local.json for local secret management. * chore: enhance environment loading and improve V8 memory management - Updated load-env.sh to conditionally load ci-secrets.local.json and set APPLE_PASSWORD for notarization. - Introduced a delay in auto-starting skills to prevent memory spikes during initialization. - Adjusted V8 runtime memory settings to minimize initial heap allocation, reducing the risk of OOM errors. * chore: update version bump workflow to modify tauri.conf.json - Changed the version update process to reflect changes in tauri.conf.json instead of Cargo.toml. - Adjusted the commit message to indicate the inclusion of tauri.conf.json in the version bump process. * chore: migrate from V8 to QuickJS runtime and update related configurations - Replaced V8 runtime references with QuickJS throughout the codebase, including updates to initialization and error handling. - Modified package.json to change the build command for macOS to source environment variables correctly. - Updated Cargo.toml to remove deno_core dependency and include rquickjs with appropriate features. - Cleaned up unused V8-related code and comments in the runtime modules. - Adjusted skill manifest checks to support QuickJS compatibility. * refactor: implement QuickJS runtime and remove V8 references - Replaced V8 engine with QuickJS in the runtime module, updating related imports and initialization logic. - Introduced new `qjs_engine.rs` and `qjs_skill_instance.rs` files to handle QuickJS-specific functionality. - Removed the deprecated `v8_skill_instance.rs` and associated V8-related code. - Updated JavaScript bootstrap code to align with QuickJS operations and APIs. - Adjusted documentation and comments to reflect the transition to QuickJS. * refactor: update IdbStorage to use parking_lot::Mutex for improved concurrency - Changed the connection management in IdbStorage from RwLock to parking_lot::Mutex for better performance. - Updated related methods to reflect the new locking mechanism, enhancing the efficiency of database operations. - Adjusted the IdbOpenResult struct to include serde::Serialize for potential serialization needs. * refactor: update QuickJS skill instance and timer management - Modified memory limit and stack size settings in QjsSkillInstance to be asynchronous, improving performance. - Cleaned up imports in qjs_ops.rs by removing unused dependencies and enhancing function definitions for clarity. - Refactored timer management functions for better readability and efficiency, including renaming and restructuring comments. * chore: update package.json scripts and clean up build.rs - Added a new script for running the Tauri app with environment variable loading. - Simplified the macOS development command to use a dedicated build script. - Removed unnecessary environment variable logging from build.rs to streamline the build process. - Cleaned up commented-out sections in the GitHub Actions workflow for Android packaging.	2026-02-05 19:29:21 +05:30
Steven Enamakel	7890c0ee92	chore: update .gitignore and enhance VSCode configuration ... - Removed specific VSCode directory from .gitignore while retaining the extensions.json file for extension recommendations. - Added Prettier as a recommended extension in extensions.json to standardize code formatting across the project. - Introduced a new settings.json file to configure default formatting options for various file types, ensuring consistent code style in the development environment.	2026-02-04 11:07:28 +05:30
3 people	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>	2026-02-03 15:26:38 +05:30
Steven EnamakelandGitHub	cd9ebcd927	Feat/skills advanced (#12) ... * Update skills submodule and enhance skill management interface - Updated the skills submodule to the latest commit, ensuring alignment with project dependencies. - Refactored the SkillSetupModal to conditionally render either the SkillSetupWizard or SkillManagementPanel based on the skill's setup status, improving user experience. - Introduced the SkillManagementPanel component to manage connected skills, allowing users to view connection status and configurable options. - Enhanced the package-and-publish workflow by updating the release name for better clarity. These changes improve the overall functionality and maintainability of the skill management system. * Remove skills catalog JSON and refactor skills loading mechanism - Deleted the `skills-catalog.json` file from the public directory, as it is no longer needed. - Updated the `SkillsGrid` component to load the skills catalog directly from the local skills directory via Rust, improving the skills management process. - Enhanced the `SkillProvider` to discover skills from the local directory and sync from GitHub if no local skills are found, streamlining the skill lifecycle management. These changes improve the overall efficiency and maintainability of the skill management system. * Update skills submodule and enhance skill management features - Updated the skills submodule to the latest commit, ensuring alignment with project dependencies. - Modified the `ConnectionIndicator` component's description for clarity. - Refactored the `SkillsGrid` component to improve type definitions and streamline skill processing, including the addition of a `hasSetup` property for better skill management. - Enhanced the `SkillManagementPanel` to conditionally render the "Re-run Setup" button based on the presence of setup hooks. - Updated the `SkillSetupModal` to handle skills without setup hooks more effectively. - Implemented a background update check in the `SkillProvider` to ensure skills are kept up to date with the latest changes from GitHub. These changes improve the overall functionality and maintainability of the skill management system. * Enhance skill management interface and update dependencies - Added new CSS styles for the skills table, improving layout and user experience. - Updated the SkillsGrid component to utilize new props and improve type definitions. - Enhanced the SkillSetupModal to include skill descriptions for better context. - Updated the Home component to include a call-to-action for upgrading to premium plans. - Added new entries to .gitignore for mypy and ruff caches to streamline development. These changes improve the overall functionality and maintainability of the skill management system.	2026-02-01 09:26:32 +05:30
3 people	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>	2026-02-01 06:44:53 +05:30
Steven Enamakel	e093eb3f64	Enhance TelegramProvider and MTProtoService for improved connection management ... - Introduced exponential backoff for connection retries in TelegramProvider, enhancing resilience during connection failures. - Refactored MTProtoService to manage concurrent initialization and connection calls, preventing duplicate requests. - Updated Redux store configuration to reset volatile fields on rehydrate, ensuring clean state management for Telegram sessions. - Enhanced error handling in Telegram thunks to ensure proper initialization before connection attempts. This update significantly improves the reliability and user experience of the Telegram connection process, ensuring smoother interactions and better state management.	2026-01-29 12:08:28 +05:30
cyrusandClaude	32ea65b2ac	Update .gitignore to exclude package lock files ... Add package-lock.json and yarn.lock to .gitignore to prevent tracking of auto-generated dependency lock files that can cause merge conflicts and are environment-specific. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>	2026-01-28 17:17:14 +05:30
Steven Enamakel	492a3544d4	Remove .env file and update .gitignore to include environment variable files ... - Deleted the .env file to enhance security by removing sensitive information from the repository. - Updated .gitignore to ensure that .env files are ignored, preventing accidental commits of sensitive data. These changes improve the security posture of the project by safeguarding environment variables.	2026-01-28 01:57:06 +05:30
M3gA-Mind	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.	2026-01-27 03:36:29 +05:30