{"repo":"Nen-Co/nen-db","free":true,"listed":false,"github":"https://github.com/Nen-Co/nen-db","clone":"git clone https://github.com/Nen-Co/nen-db.git","description":null,"language":"Zig","stars":31,"topics":["ai","ai-agents","database","graph-algorithms","graph-database","graphql","llm","memory","neo4j"],"license":null,"category":"ai-agents","readme_excerpt":"🚀 NenDB - AI-Native Graph Database Lightning-fast graph database built with Data-Oriented Design (DOD) for AI workloads ⚡ 🎯 What is NenDB? NenDB is a dual-architecture graph database built specifically for AI applications. We provide both embedded and distributed options to serve different use cases and market segments. 🏗️ Dual Architecture Strategy Embedded NenDB 🖥️ (Primary Focus) - Target : Single-user applications, AI/ML workloads, desktop apps - Use Cases : Data science, research, personal projects, edge computing - Advantages : Zero dependencies, instant startup, predictable performance - Examples : Jupyter notebooks, desktop apps, embedded systems Distributed NenDB 🌐 (Framework Only) - Target : Multi-user applications, enterprise workloads, cloud services (planned) - Use Cases : Social networks, recommendation systems, real-time analytics (planned) - Advantages : Horizontal scaling, high availability, fault tolerance (planned) - Examples : Web applications, microservices, cloud platforms (planned) - Status : Framework exists, implementation in progress 🚀 Core Technology Using Data-Oriented Design (DOD), Struct of Arrays (SoA) layout, component-based architecture, and SIMD optimization, NenDB delivers: - 🧠 AI-Native Design : Optimized for graph reasoning and AI workloads - ⚡ Data-Oriented Design : SoA layout for maximum cache efficiency - 🚀 SIMD Optimization : Vectorized operations for peak performance - 🧩 Component System : Flexible entity-component architectu","default_branch":null,"files":null,"tree":[],"storefront":"/r/Nen-Co","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Nen-Co/nen-db/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}