3 Commits

Include renames

Author	SHA1	Message	Date
oxoxDevandGitHub	7b0eff2d14	feat(tools/computer): humanize MouseTool cursor motion (#682) (#1309)	2026-05-07 12:05:56 -07:00
3 people	c2ff8b693b	feat/openclaw (#128) ... * feat: add initial project structure and documentation - Introduced the GNU General Public License (GPL) v3 in LICENSE file. - Added MCP configuration in .claude/mcp.json for server integration. - Created architecture documentation in docs/ARCHITECTURE.md outlining the platform's design and components. - Defined MVP specifications in docs/MVP.md for the Telegram-based Agent Assistant. - Established API reference for team management in docs/teams-api-reference.md. - Set up basic HTML structure in public/index.html and added logo image in public/logo.png. * feat: add initial project documentation and HTML structure - Introduced CODE_OF_CONDUCT.md to establish community guidelines and standards for behavior. - Created CONTRIBUTING.md to outline contribution process, development setup, and project conventions. - Added SECURITY.md to define the security policy, supported versions, and reporting procedures for vulnerabilities. - Established basic HTML structure in index.html for the application interface. * chore: remove hello-python skill files - Deleted skill.json and skill.py files for the Hello Python example runtime skill, as they are no longer needed in the project. * feat: port tinyhuman agent runtime from ZeroClaw into Tauri backend Port daemon supervisor, health registry, security (policy, secrets, audit, pairing), agent traits, and config modules from ZeroClaw (MIT) into a new tinyhuman/ module under src-tauri/src/. The daemon auto-starts on desktop and shuts down gracefully on app exit via CancellationToken. - health: global HealthRegistry with component tracking and JSON snapshots - security/policy: SecurityPolicy with command validation, risk levels, rate limiting - security/secrets: ChaCha20-Poly1305 SecretStore with legacy XOR migration - security/audit: AuditLogger with JSON-line events and log rotation - security/pairing: PairingGuard with brute-force protection and SHA-256 hashing - security/traits: Sandbox trait + NoopSandbox - config: minimal DaemonConfig with autonomy, reliability, secrets, audit sub-configs - daemon: supervisor with health state writer emitting Tauri events - agent/traits: Provider, Tool, Memory, Observer, RuntimeAdapter traits + Noop impls - commands/tinyhuman: Tauri commands for health, security policy, encrypt/decrypt - 185 inline unit tests across all modules - README updated with custom inference/tunneling/memory positioning Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: update README to reflect AlphaHuman Mk1 branding and enhanced description - Changed project title to "AlphaHuman Mk1" for clarity. - Revised project description to emphasize user-friendly AI capabilities and the use of the Neocortex Mk1 model. - Removed outdated sections on custom inference, tunneling, and memory, streamlining the content for better readability. * update readme * Port zeroclaw runtime into tinyhuman * Replace CLI mentions with UI language * Split gateway module into smaller units * Split channels and config schema modules * Fix tinyhuman build, tests, and tunnel integration * feat(tinyhuman): add missing modules and ui-friendly services * refactor: rename tinyhuman to alphahuman * chore: remove bottom text from Welcome component * feat(settings): add tauri command console * feat(daemon): enhance daemon mode handling and integrate rustls with ring feature * feat(settings): implement comprehensive configuration management in TauriCommandsPanel * refactor(TauriCommandsPanel): streamline error handling and enhance async function usage * feat(settings): add skill management functionality to TauriCommandsPanel * style(TauriCommandsPanel): update input styles for improved readability and user experience * feat(settings): add Skills and Agent Chat panels with navigation and integration management * feat(settings): implement browser access management in SkillsPanel and enhance AgentChatPanel with local storage functionality --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-20 13:03:15 +04:00
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