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DocumentationSDK ReferenceGraphiti
DocumentationSDK ReferenceGraphiti
  • Getting Started
    • Welcome
    • Overview
    • Quick Start
    • MCP Server
  • Configuration
    • LLM Configuration
    • Neo4j Configuration
    • FalkorDB Configuration
    • AWS Neptune Configuration
    • Kuzu DB Configuration
  • Core Concepts
    • Adding Episodes
    • Custom Entity and Edge Types
    • Communities
    • Graph Namespacing
  • Working with Data
    • Searching
    • CRUD Operations
    • Adding Fact Triples
  • Integrations
    • LangGraph Agent
  • Other
    • Telemetry
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Getting Started

Welcome to Graphiti!

Want to use Graphiti with AI assistants like Claude Desktop or Cursor? Check out the Knowledge Graph MCP Server.

Graphiti is a Python framework for building temporally-aware knowledge graphs designed for AI agents. It enables real-time incremental updates to knowledge graphs without batch recomputation, making it suitable for dynamic environments where relationships and information evolve over time.

Overview

Learn about Graphiti’s core concepts and how temporal knowledge graphs work.

Quick Start

Get up and running with Graphiti in minutes including installation, episodes, search, and basic operations.

Knowledge Graph MCP Server

Use Graphiti with AI assistants like Claude Desktop or Cursor.

Adding Episodes

Learn how to add text and JSON episodes to build your knowledge graph.

Searching

Discover hybrid search capabilities combining semantic, keyword, and graph-based retrieval.

Custom Entities

Define domain-specific entity types for more precise knowledge representation.

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Overview

Temporal Knowledge Graphs for Agentic Applications
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