Papr

Papr is an advanced AI memory and context retrieval API that combines vector embeddings and knowledge graphs to help AI applications maintain persistent, intelligent context across interactions. The tool enables AI systems to remember and connect complex information across multiple domains, from customer support to medical research, by creating sophisticated memory representations that go beyond traditional keyword or vector-based search methods. By offering multi-hop retrieval with state-of-the-art accuracy (81-86% on Stanford benchmarks), Papr allows developers to build AI agents that can understand nuanced relationships and maintain contextual coherence.

AI analysis from Feb 18, 2026

• Multi-hop retrieval with high accuracy
• Cross-session context retention
• Vector embedding and knowledge graph integration
• Scalable memory storage capabilities
• Open-source example applications
• Enterprise-grade security and deployment options

• 1AI customer support agents with persistent conversation memory
• 2Medical research and patient care context tracking
• 3Legal research and case precedent analysis
• 4Creative writing and narrative consistency tools
• 5Enterprise knowledge management systems

Free tier: 50 basic interactions, 100 memories, 20 memory searches. Starter plan: $20/month with 1,000 basic interactions, 5,000 memory storage. Pro plan: $200/month with unlimited basic interactions and 100,000 memory storage. Enterprise plan offers custom pricing and features.

AI developers, machine learning engineers, product teams building intelligent conversational agents, enterprises requiring advanced knowledge management solutions

Write a Review