Memori – Agent-native memory infrastructure

# Memori > Memori is an open source system that gives your AI agents a structured, persistent memory layer. It automatically captures conversations, extracts meaningful facts, and makes them searchable across entities, processes, and sessions. ## Memori Cloud Docs - [Introduction](https://memorilabs.ai/docs/memori-cloud): Memori gives your AI agents structured, persistent memory — no database setup required. - [Getting Started / Python SDK Quickstart](https://memorilabs.ai/docs/memori-cloud/getting-started/python-quickstart): Get started with Memori Cloud in under 3 minutes. - [Getting Started / TypeScript SDK Quickstart](https://memorilabs.ai/docs/memori-cloud/getting-started/typescript-quickstart): Get started with Memori Cloud and the TypeScript SDK in under 3 minutes. - [Getting Started / Installation](https://memorilabs.ai/docs/memori-cloud/getting-started/installation): Install Memori and set up your API key for the Memori Cloud. - [Getting Started / Use Cases](https://memorilabs.ai/docs/memori-cloud/getting-started/use-cases): Common use cases and applications for Memori. - [Core Concepts / Architecture](https://memorilabs.ai/docs/memori-cloud/concepts/architecture): Understand how Memori's Cloud platform is designed — from your app to Memori Cloud, with managed storage, augmentation, and recall. - [Core Concepts / How Memori Works](https://memorilabs.ai/docs/memori-cloud/concepts/how-memory-works): Understand the core concepts behind Memori — entities, processes, sessions, memory types, attribution, and how recall brings it all together. - [Core Concepts / Advanced Augmentation](https://memorilabs.ai/docs/memori-cloud/concepts/advanced-augmentation): How Memori's Advanced Augmentation engine extracts structured facts, preferences, and knowledge from your AI conversations — all managed in Memori Cloud. - [Core Concepts / Async Patterns](https://memorilabs.ai/docs/memori-cloud/concepts/async-patterns): Best practices for using Memori with async/awai