Build Real-Time Knowledge Graphs for AI Agents

Stylish Graph APIs

The Swift GraphQL implementation for macOS and Linux

The Swift GraphQL Schema builder for macOS and Linux

Graphiti MCP Server

Graphiti Client / Javascript ORM / JSONAPI

Easy setup of a GraphQL server with Vapor. It uses the GraphQL implementation of Graphiti.

OpenGraphiti Project : Data Visualization Framework

Graphiti Model Context Protocol (MCP) Server - An MCP server for knowledge graph management via Graphiti

MiroFish的免费本地运行版本 | Graphiti+Neo4j替代付费Zep | 简易便捷本地跑通

We believe that every SOTA result is only valid on its own dataset. RAGView provides a unified evaluation platform to benchmark different RAG methods on your specific data.

Hybrid memory system for OpenClaw using Graphiti temporal knowledge graph

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Base on Graphiti, Enhanced Core Capabilities, Broader AI Model Compatibility, and Comprehensive Management UI.

DataLoader is a generic utility to be used as part of your Swift application's data fetching layer to provide a simplified and consistent API over various remote data sources such as databases or web services via batching and caching.

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Transform your Obsidian vault into a powerful knowledge graph with MCP support

BPMN2 Editor for Eclipse using Graphiti

基于 Planner–Manager–Executor 的文本 Agent；Executor 支持 YAML / Python 高度自定义；可选 Neo4j+Graphiti 记忆图谱；FastAPI + React。

Verified graph rewriting (for dataflow circuits).

Sample Application for Graphiti

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Swift GraphQL examples using Graphiti and GraphQLResponder

Collective intelligence runtime for AI agents. Knowledge graph + orchestration + persistent memory.

⚡ Developer-friendly hybrid-RAG toolkit merging Graphiti, Qdrant, mem0, LlamaIndex, and LangChain into one powerful engine.

migrated to Codeberg

Temporal knowledge graph memory plugin for OpenClaw — auto-recall & capture via Graphiti + Neo4j

This repo demonstrates Graphiti MCP integration with Cursor and Neo4j, storing AI prompts as real-time knowledge graphs for persistent memory.

this is workflow: whatsapp-meta-n8n(RAG : integrating neo4j + graphiti ) -whatsapp