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title: Architecture |
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description: KGraph-MCP system architecture and design documentation |
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--- |
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# Architecture |
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Comprehensive documentation of KGraph-MCP's system architecture, design patterns, and technical implementation details. |
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## 🏗️ **Architecture Sections** |
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<div class="grid cards" markdown> |
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- :material-sitemap:{ .lg .middle } **Overview** |
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--- |
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High-level system architecture and component relationships. |
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[:octicons-arrow-right-24: Architecture Overview](overview.md) |
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- :material-layers:{ .lg .middle } **Components** |
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Detailed breakdown of system components and their responsibilities. |
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[:octicons-arrow-right-24: System Components](components.md) |
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- :material-graph:{ .lg .middle } **Knowledge Graph** |
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Knowledge Graph design, schema, and integration patterns. |
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[:octicons-arrow-right-24: Knowledge Graph Architecture](knowledge-graph.md) |
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- :material-robot:{ .lg .middle } **AI Agents** |
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Agent framework architecture and autonomous system design. |
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[:octicons-arrow-right-24: Agent Architecture](agents.md) |
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</div> |
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## 🎯 **Core Design Principles** |
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KGraph-MCP is built on these foundational principles: |
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### **1. Knowledge-Driven Architecture** |
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- Semantic representation of MCP primitives |
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- Graph-based tool discovery and orchestration |
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- Intelligent tool selection and routing |
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### **2. Agent-Based Autonomy** |
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- Specialized AI agents for different functions |
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- Self-orchestrating tool networks |
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- Autonomous task planning and execution |
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### **3. Modular & Extensible** |
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- Plugin-based architecture |
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- Clean separation of concerns |
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- Easy integration with existing MCP servers |
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### **4. Performance & Scalability** |
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- Efficient graph operations |
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- Asynchronous processing |
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- Horizontal scaling capabilities |
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## 🧩 **System Components** |
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```mermaid |
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graph TB |
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subgraph "KGraph-MCP Architecture" |
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subgraph "Presentation Layer" |
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gradio[Gradio UI] |
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fastapi[FastAPI Server] |
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end |
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subgraph "Agent Layer" |
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planner[Planner Agent] |
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selector[Selector Agent] |
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executor[Executor Agent] |
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supervisor[Supervisor Agent] |
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end |
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subgraph "Knowledge Layer" |
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kg[Knowledge Graph] |
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embeddings[Embedding Service] |
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reasoning[Reasoning Engine] |
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end |
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subgraph "Integration Layer" |
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mcp[MCP Connectors] |
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tools[Tool Registry] |
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servers[MCP Servers] |
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end |
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end |
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gradio --> fastapi |
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fastapi --> planner |
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planner --> selector |
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selector --> executor |
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executor --> supervisor |
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planner --> kg |
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selector --> kg |
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executor --> tools |
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supervisor --> kg |
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kg --> embeddings |
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kg --> reasoning |
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tools --> mcp |
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mcp --> servers |
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``` |
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## 📋 **Architecture Patterns** |
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- **Event-Driven Architecture** - Asynchronous event processing |
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- **Microservices Pattern** - Loosely coupled, independently deployable services |
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- **Repository Pattern** - Data access abstraction |
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- **Strategy Pattern** - Pluggable algorithms and behaviors |
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- **Observer Pattern** - Real-time status updates and monitoring |
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## 🔗 **Integration Points** |
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- **MCP Protocol** - Model Context Protocol compliance |
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- **RESTful APIs** - HTTP-based external integrations |
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- **WebSocket** - Real-time bidirectional communication |
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- **Graph Databases** - Native graph storage and querying |
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- **Vector Databases** - Semantic search and similarity |
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## 📚 **Related Documentation** |
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- [Developer Guide](../developer-guide/index.md) - Development and contribution |
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- [API Reference](../api/index.md) - Complete API documentation |
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- [User Guide](../user-guide/index.md) - Getting started guide |
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