M.I.M.I.R - Multi-agent Intelligent Memory & Insight Repository

# AI Agents & Integration **Integrate NornicDB with AI agents and tools.** ## 📚 Documentation - **[Chat Modes](chat-modes.md)** - Use with Cursor IDE and AI assistants - **[MCP Tools Reference](mcp-tools-reference.md)** - Model Context Protocol tools - **[Cursor Integration](cursor-integration.md)** - Cursor IDE setup - **[Agent Examples](agent-examples.md)** - Agent patterns and examples ## 🤖 AI Integration Features ### Model Context Protocol (MCP) NornicDB provides 6 MCP tools for AI agents: - `search` - Semantic search - `cypher` - Execute queries - `schema` - Get graph schema - `neighbors` - Find related nodes - `path` - Find paths between nodes - `stats` - Get statistics [MCP Tools Reference →](mcp-tools-reference.md) ### Cursor IDE Integration Use NornicDB as a knowledge base for your codebase. [Cursor Setup Guide →](cursor-integration.md) ### Chat Modes Three modes for different use cases: - **Ask** - Question answering - **Search** - Information retrieval - **Analyze** - Data analysis [Chat Modes Guide →](chat-modes.md) ## 🚀 Quick Start ### With Cursor IDE 1. Install NornicDB MCP server 2. Configure in Cursor settings 3. Start chatting with your knowledge base [Complete setup →](cursor-integration.md) ### With Custom Agents ```python from nornicdb import MCP Client client = MCPClient("http://localhost:7474") # Search knowledge base results = client.search("machine learning algorithms") # Execute Cypher data = client.cypher("MATCH (n:Concept) RETURN n LIMIT 10") ``` [Agent examples →](agent-examples.md) ## 📖 Learn More - **[MCP Tools](mcp-tools-reference.md)** - Complete tool reference - **[Chat Modes](chat-modes.md)** - Usage patterns - **[Examples](agent-examples.md)** - Real-world patterns --- **Get started** → **[Cursor Integration](cursor-integration.md)**