Kade Heyborne
48c6ddc066
- Complete planning documentation for 5-phase development - UI design specifications and integration - Domain architecture and directory templates - Technical specifications and requirements - Knowledge incorporation strategies - Dana language reference and integration notes
49 lines
5.0 KiB
Markdown
49 lines
5.0 KiB
Markdown
# Technical Requirements: Advanced Second Brain PKM System
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This document details the underlying technical infrastructure and components required to implement the proposed Advanced Second Brain PKM system. The requirements are structured to ensure a robust, scalable, and highly functional application that supports both knowledge consumption and agent development.
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## 1. Core Infrastructure and Data Management
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The system's foundation relies on integrating local file management with advanced AI and data processing capabilities.
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| Requirement | Description | Notes |
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| :--- | :--- | :--- |
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| **Local File System Integration** | The application must be capable of reading, writing, and actively monitoring a user-specified local directory for each domain. This is fundamental to the principle of "Local Data Sovereignty." | Requires robust, cross-platform file system watchers and secure permissions management to ensure data integrity and user control. |
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| **Dana Language Runtime** | A secure and performant runtime environment is mandatory for the execution of Dana code, which defines the logic of the domain-specific agents. | This necessitates the integration of a Dana compiler or interpreter into the application's backend to handle agent execution and testing. |
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| **Knowledge Graph Database** | A dedicated graph database (e.g., Neo4j, Dgraph, or a local equivalent) must be employed to store and query the complex relationships within the domain-specific knowledge graphs. | The database must support efficient querying and provide the necessary API for the graph visualization component. |
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| **Embedding Service** | A service is required for the generation and persistent storage of vector embeddings for all ingested documents and media transcripts. | This service is critical for enabling semantic search, context retrieval, and advanced reasoning by the agents. |
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| **Agent Orchestration Layer** | A central service must be developed to manage the lifecycle, routing, and synthesis of responses from the multiple domain-specific agents. | This layer must handle concurrent agent calls and intelligently manage the "Domain Scope" selection initiated from the Global Orchestrator Chat. |
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## 2. Agent and Tooling Requirements
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The system requires specialized agents and a modular framework for knowledge processing.
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### 2.1. Domain Agents and Configuration
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Each domain agent must be highly configurable, allowing users to define its behavior through its own Dana code, specify its context sources (i.e., the file paths it monitors), and link it to its specific knowledge graph and embeddings.
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### 2.2. Media Scraper Agent
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A dedicated background agent is required to automate the processing of media content. This agent must be capable of:
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* Detecting new media files (e.g., `.mp4`, `.mp3`, `.webm`).
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* Transcribing the audio/video content to text.
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* Synchronizing the generated transcript with the media timeline to enable interactive navigation.
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### 2.3. Fabric Analysis Patterns
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The system must incorporate a modular framework that allows for the definition and execution of various "Fabric" analysis patterns (e.g., Summarize, Extract Ideas, Find Action Items). This framework must be callable on-demand against any content currently displayed in the Content Viewer.
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## 3. UI/IDE Component Requirements
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The application's interface requires several high-fidelity components to support both the consumer and developer experience.
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* **Code Editor Component**: A robust, embeddable code editor (e.g., Monaco Editor) is necessary for the Agent Studio. It must feature syntax highlighting for the Dana language and support file tab management for core agent files (`agent.dana`, `tools.dana`, `config.json`).
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* **REPL/Terminal Component**: An interactive terminal emulator is required to host the Dana REPL and display real-time logs for debugging and agent execution.
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* **Rendering Components**: High-fidelity rendering components are needed for various document types, including a dedicated PDF/Markdown Renderer and a standard **Video Player Component** with API access to track and control playback time for transcript synchronization.
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* **Graph Visualization Component**: A suitable library (e.g., D3.js, vis.js) must be integrated to render the mini-map knowledge graph visualization within the Agent Studio, allowing users to visually manage their knowledge structure.
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## 4. Performance and Scalability
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The system must be engineered for high performance to ensure a seamless user experience.
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* **Responsiveness**: The user interface must maintain high responsiveness, even when managing high data density and executing complex, concurrent agent orchestration tasks.
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* **Indexing Speed**: The system must be optimized to quickly index new files and update knowledge graphs and embeddings with minimal latency, ensuring a near real-time knowledge update cycle.
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* **Agent Latency**: Queries routed through the Orchestrator and Domain Agents must return results within an acceptable latency threshold to support a fluid, real-time chat and analysis experience.
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