AI Agent Memory Infrastructure
13.9k 2026-04-26
MemoriLabs/Memori
Memori provides an LLM-agnostic layer that transforms AI agent execution and conversations into structured, persistent memory for production systems.
Core Features
LLM-agnostic memory infrastructure for AI agents
Transforms agent execution and conversation into structured, persistent state
Seamless integration with existing software and infrastructure
Offers SDKs for Python and TypeScript
Provides a dashboard for memory management, analytics, and API keys
Quick Start
pip install memoriDetailed Introduction
Memori is an innovative agent-native memory infrastructure designed to provide AI agents with structured, persistent memory. It captures both agent execution and dialogue, transforming them into a usable state for production systems. Being LLM, datastore, and framework agnostic, Memori ensures flexible integration into existing architectures. This approach significantly enhances agent performance in long conversations, as demonstrated by its efficiency and accuracy on the LoCoMo benchmark, reducing token usage and context costs.