Memori: Agent-Native Memory Infrastructure for LLMs

Memori is an agent-native memory infrastructure designed to provide a LLM-agnostic layer that transforms agent execution and conversation into a structured, persistent state suitable for production systems.

Key features:

• Seamless Integration - Easily plugs into existing software and infrastructure.
• Zero Configuration - Quick setup with an API key for immediate use.
• Session Management - Groups LLM interactions for better context retention.
• Advanced Augmentation - Enhances memories with attributes, events, and relationships.
• Multi-Language Support - Compatible with TypeScript and Python SDKs.

Memori is particularly useful for developers and teams looking to maintain context across sessions and improve the efficiency of their AI interactions.