This repository contains a structured knowledge base designed to synthesize information from raw input documents stored securely in the /.lspace/raw_inputs/ directory, while the model-generated knowledge base resides in the repository root. Leveraging Lspace, this platform transforms dispersed documents into a unified, searchable repository, tackling challenges like information silos and outdated documentation while promoting collaboration.

The latest addition to our documentation is the Lspace Server's Getting Started Guide, providing detailed instructions on setting up and leveraging the intelligent capabilities of Lspace Server. It enables developers to integrate comprehensive knowledge management and AI orchestration into their workflows with ease.

• Universal Context Layer: Transforms context-switching friction into streamlined workflows. Review the full details in Context-Switching Friction.

repository/
├── .lspace/            # System-level raw inputs and metadata
│   ├── timeline.json    # Operation history for source files
│   └── raw_inputs/      # Storage for raw documents
├── README.md           # Main entry point & overview of the knowledge base
├── getting-started/    # Getting Started Guides
│   └── README.md       # Lspace Server Getting Started Guide
├── protocols-and-standards/ # Protocols and Standards Overview
│   └── understanding-mcp.md # Description of the Model Context Protocol and its integration
├── lspace-introduction/ # Lspace introduction and use cases
│   └── lspace-benefits-use-cases.md # Details on Lspace's benefits and use cases
├── mcp-server/         # MCP Server Setup and Configuration
│   └── setup-and-configuration.md # MCP server setup guide
├── services/           # Services directory
│   └── orchestrator/   # Orchestrator Service documentation
│       ├── overview.md
│       └── api-endpoints.md
├── api-guide/         # API Usage documentation
│   └── usage.md
├── knowledge-base-generation/ # KB Generation Internals
│   └── internals.md
└── licensing/         # Licensing strategy documentation
    └── licensing-strategy.md

...

• Integrated the Licensing Strategy details from ed184976-5677-4d36-b26d-1ee3849aae16-LSPACELicensingStrategy.txt.
• Integrated MCP Server setup details from the document b431ef7b-63da-4166-8dae-949c778ff3b1-mcp-server-setup.md.
• Updated the structure based on insights from 5c08683c-23cb-4174-bc58-98f9b39ff139-knowledge-base-structure.md.
• Added Orchestrator Service documentation based on 2f4a943a-8b3c-404c-8da9-29730bc33a0b-orchestrator.md.
• Added API Usage Guide from the document a9a3efae-8690-4138-a0dd-d1ac38cc413b-api-usage-guide.md.
• Added new introductory section about Lspace benefits and use cases based on lspace-benefits-use-cases.md.
• Processed Knowledge Base Generation Internals detailing internal mechanisms.
• Integrated Understanding of the Model Context Protocol (MCP) from cadfcf2b-f72f-4218-a167-846123e40cee-UnderstandingtheModelContextProtocolMCP.txt.
• Added Getting Started Guide for Lspace Server from fc4b0887-95c3-4136-aab8-ffe75afe235d-LspaceServer-GettingStartedGuide.txt.
• Processed Lspace Core Problem Statement on Context-Switching Friction providing insights on challenges and solutions for AI workflows.