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# ZyncAI Application Development Tasks ## Phase 1: Foundation & Stability (Current Focus) - [x] **Persistence Layer** - [x] Implement `localStorage` or `IndexedDB` to persist chat history across reloads. - [x] Create a `SessionManager` to handle multiple chat sessions. - [x] Add "Export to JSON" functionality for backup. - [x] **Authentication System** - [x] Persist authentication state locally (keep user logged in). - [x] Replace mock `LoginPage` with real authentication (e.g., Firebase Auth, Supabase, or Clerk). - [x] Secure API keys (ensure they are not exposed in client-side bundles if possible, or use a proxy). - [x] Add user profiles and settings (e.g., preferred voice, theme overrides). - [x] **Testing & Quality Assurance** - [x] Set up Vitest or Jest for unit testing utility functions. - [x] Create component tests for `MessageItem`. - [x] Create component tests for `SystemVisualizer`. - [x] **Security Audit**: Review API key usage and implement `SECURITY.md` (Updated with PII & Injection policies). - [x] **Code Refactoring**: Move source files to `src/` directory. - [x] **Gemini Service Refactor**: Implement structured chat history to prevent prompt injection (Removed manual context stuffing). - [x] **Testing Checklist**: Create a comprehensive `TESTING_CHECKLIST.md` for manual and automated testing. ## Phase 2: Zync AI Cores (New Architecture) - [x] **Neuro-Symbolic Fusion** - [x] Implement `Lattice` for knowledge graph mapping. - [x] Implement `NeuroSymbolicCore` for hybrid reasoning. - [x] Integrate reasoning trace into `App.tsx` and UI. - [x] **Persistent Topological Memory** - [x] Implement `TopologicalMemory` with `GhostBranch` support. - [x] Persist interactions to topological memory. - [x] **Counterfactual Persona Simulation** - [x] Implement `PersonaSimulator` with multiple personas. - [x] Connect Simulator to UI via Command Palette (`/simulate`). - [x] **Visualization & Transparency** - [x] Add "Confidence Shaders" to `MessageItem`. - [x] Add Neuro Confidence metric to `SystemVisualizer`. - [x] Create `NEURO` role for distinct visual feedback. - [x] Implement 3D `LatticeVisualizer` for Neuro-Symbolic graph. - [x] **Refine AI Core Prompts**: Enhanced Reflex (Cybernetic), Memory (Ghost Branching), and Consensus (Debate) personas. ## Phase 3: Optimization & Deployment - [x] **Performance Optimization** - [x] Optimize React re-renders in `SystemVisualizer` (use `requestAnimationFrame` or WebGL if needed). - [x] Global Re-render Optimization (App.tsx, CommandPalette, SystemVisualizer). - [x] Implement code splitting for heavy components. - [x] Optimize asset loading (images, fonts). - [x] **Deployment Pipeline** - [x] Set up CI/CD (GitHub Actions) for automated testing and building. - [x] Configure environment variables for production. - [x] Deploy to Vercel, Netlify, or similar platform. ## Backlog / Ideas - [x] **"Consensus" Mode Expansion**: Allow 3+ models to debate a complex topic. - [x] **Plugin System**: Allow users to add custom "Tools" (e.g., Calculator, Weather) that the Reflex core can use. - [x] **Offline Mode**: Basic functionality using a smaller, local LLM (e.g., WebLLM) when offline. - [x] **Voice Input Enhancement**: Real-time audio visualization and improved UI. ## Phase 4: Cognitive Expansion & Multi-Modal Synthesis - [x] **Text-to-Speech (TTS) Synthesis** - [x] Implement `VoiceSynthesisService` using Web Speech API or external API (e.g., ElevenLabs). - [x] Add "Speak" button to `MessageItem` for reading responses. - [x] Create a "Mute/Unmute" global toggle in the UI. - [x] Implement Voice Configuration UI (Voice selection, Rate, Pitch). - [x] **Generative UI Components** - [x] Allow the AI to render React components (e.g., charts, tables, code blocks) dynamically based on context. - [x] Create a `ComponentRenderer` to safely parse and display these elements. - [x] **"Dream State" Memory Optimization** - [x] Implement a background process that clusters and refines topological memory when the system is idle. - [x] Visualize this "dreaming" process in the `SystemVisualizer`. - [x] **External Knowledge Integration** - [x] Connect `Reflex` core to a real web search API (e.g., Tavily, Serper) for up-to-date information. - [x] Display citations and sources in the UI. - [x] **Offline Mode Implementation** - [x] Integrate `@mlc-ai/web-llm` for local inference. - [x] Add UI toggle and status indicators. - [x] Verify offline model initialization and response generation. ## Phase 5: Agentic Evolution & Governance (New) - [x] **Agentic Workflows & Tools-as-Programs** - [x] **Workflow Chaining**: Allow Reflex to chain tools (search -> calc -> summarize) with visual trace. (Engine & Visualizer implemented) - [x] **User-Defined Tools**: Implement a simple DSL/JSON schema for custom tools. (Verified in Code) - [x] **Memory Governance & Introspection** - [x] **Memory Inspector**: UI to inspect, edit, and pin nodes in TopologicalMemory. (Verified in Code) - [x] **Memory Policies**: Implement forgetting, compressing, and redacting with "memory diff". (Verified in Code) - [x] **Persona & Consensus Research Mode** - [x] **Experiment Lab**: Configurable personas, controlled prompts, and exportable logs. (Verified in Code) - [x] **Evaluation Hooks**: Scoring and user ratings for answer quality. (Verified in Code) - [x] **UX & Productization** - [x] **Role-Based Boards**: Executive (analytics) vs Employee (tasks) views. (Verified in Code) - [x] **Safety & Policy**: Policy modules (PII masking, restricted calls) and settings toggles. (Verified in Code) - [x] **Technical Hardening** - [x] **Observability**: Instrument cores with metrics (latency, token usage) and "System Health" UI. (Verified in Code) - [x] **Deterministic Paths**: Schema-validated tool calls and component rendering. (Verified in Code) ## Phase 6: Deployment & Ops (Completed) - [x] **Build Verification**: `npm run build` passes. - [x] **Lint Verification**: `npm run lint` passes. - [x] **Docker**: Dockerfile created and verified locally (Environment restrictions apply). - [x] **Documentation**: Created `DEPLOYMENT_GUIDE.md` and `MANUAL_TESTING_PHASE_5.md`. ## Phase 7: UI/UX Refinement (Completed) - [x] **Wafe Design Implementation** - [x] Restructure `LoginPage` with minimalist, glassmorphic design. - [x] Update `SystemVisualizer` to match the new deep purple/cyan/fuchsia aesthetic. - [x] Refine global styles (`index.css`) for consistent glassmorphism and gradients. - [x] **Animation Integration** - [x] Implement `WaveBackground` for dynamic, reactive backgrounds. - [x] Add subtle animations to message bubbles and UI elements. - [x] **Code Quality** - [x] Resolve linting issues (inline styles in `WaveBackground.tsx`). - [x] Replace static logo with vector `ZyncLogo` component. - [x] **Health Check** - [x] Run `npm run test` (All tests passing). - [x] Run `npm run lint` (No issues found). - [x] **Feature Access** - [x] Add `Experiment Lab` to Command Palette. - [x] Enhance `Experiment Lab` UI to match Wafe design. - [x] Add `Memory Inspector` to Command Palette. - [x] Add `Dream State` toggle to Command Palette. - [x] Verify component functionality with new unit tests. ## Phase 8: Optimization & Polish (Current Focus) - [x] **Performance Tuning** - [x] Implement `React.memo` for `SystemVisualizer` and `CommandPalette` to prevent unnecessary re-renders. - [x] Wrap event handlers in `useCallback` in `App.tsx`. - [x] Verify build and lint status after optimizations. - [x] **Voice I/O Enhancement**: Added auto-read responses, voice input cancellation, and improved voice settings. - [x] **Smart Voice Input**: Implemented auto-submit on silence and forced voice response for hands-free interaction. - [x] **Real-time Voice Streaming**: Implemented Voice In + Voice Out using Gemini Multimodal Live API. - [x] **Live Mode UI Overhaul**: Redesigned Live Voice Interface with immersive animations and futuristic visualizer. - [ ] **Final Polish** - [x] Conduct final end-to-end manual testing. - [x] Verify all documentation is up-to-date.
> **目标**: 将 Koatty 框架迁移到 Monorepo 架构,并配置自动同步
This file tracks the documentation improvement plan for Django Cast. The goal is to address major documentation gaps identified through analysis of the codebase vs existing docs.
This project is a **simple e-commerce landing page generator** for individual product sales. Sellers can create multiple **standalone product pages**, each with a "Buy Now" button leading to a universal order form. Products are not listed together in a catalog—they each live on their own unique link, allowing sellers to advertise and sell them individually.
Here we provide implementation details about the three environments (`primal`, `dual`, `config`) and reward functions.