{"repo":"Papr-ai/memory-opensource","free":true,"listed":false,"github":"https://github.com/Papr-ai/memory-opensource","clone":"git clone https://github.com/Papr-ai/memory-opensource.git","description":"Predictive memory layer for AI agents. MongoDB + Qdrant + Neo4j with multi-tier caching, custom schema support & GraphQL. 91% Stanford STARK accuracy, <100ms on-device retrieval","language":"Python","stars":74,"topics":["ai-agents","ai-infrastructure","context-engineering","knowledge-graph","llm-memory","long-term-memory","open-source-ai","papr","rag","rag-chatbot"],"license":"AGPL-3.0","category":"ai-agents","readme_excerpt":"Papr Memory 🧠 Predictive memory layer for AI agents. MongoDB + Qdrant + Neo4j with multi-tier caching, custom schema support & GraphQL. 91% Stanford STARK accuracy, <100ms on-device retrieval. 🚀 What is Papr Memory? Papr Memory is the predictive memory layer for your AI agents that allows you to: - Store Information : Save text, documents, code snippets, and structured data - AI-Powered Search : Find relevant memories using natural language queries - Graph Relationships : Automatically discover and track connections between memories - Vector Embeddings : Semantic search powered by modern embedding models - Multi-Modal Support : Handle text, documents, images, and structured data - User Context : Personal memory spaces with fine-grained access control 💡 Use Cases - Voice Agents for Customer Support : Enable intelligent voice assistants with persistent memory and context - B2B AI Agents : Knowledge management, RAG, and semantic search for enterprise applications - Coding Agents : Use custom ontology + GraphQL for significant improvements to context and search in your codebase - Financial AI Agents : Ingest financial documents using custom ontology + GraphQL for queries - Healthcare AI Agents : Secure, compliant memory management for healthcare applications - Retail AI Agents : Use custom ontology + GraphQL for intelligent product recommendations and customer insights 🏗️ Architecture Overview Predictive memory Architecture 🆚 Open Source vs Cloud Feature Open Source Cloud --","default_branch":null,"files":null,"tree":[],"storefront":"/r/Papr-ai","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Papr-ai/memory-opensource/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."}