> ## Documentation Index
> Fetch the complete documentation index at: https://docs.anonalabs.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

# Welcome to Anona Memory

**Managed, multi-tenant memory layer for AI agents** - a developer API that lets any LLM app remember, recall, and reflect on user context across sessions.

## What is Anona Memory?

Large language models are stateless. Every conversation starts from scratch unless the application explicitly retrieves and injects context. Building a reliable, scalable memory layer requires operating vector databases, building retrieval pipelines, managing embedding models, and handling multi-tenancy - substantial infrastructure work that is not core to most AI products.

**Anona Memory abstracts this entirely.**

With a single API call, you can:

* **Retain** - Store memories with full semantic indexing
* **Recall** - Query memories semantically to find the most relevant context
* **Reflect** - Synthesize learned models and insights from accumulated knowledge

## Who Uses Anona Memory?

* **AI product developers** building user-facing agents that need to remember context across sessions
* **Platform teams** deploying internal AI assistants that must accumulate organizational knowledge
* **ML engineers** who want a production-grade memory store without operating vector databases directly

## Key Features

✅ **Semantic search** - Find relevant memories by meaning, not keywords\
✅ **Multi-tenant isolation** - Each organization's data lives in its own secure schema\
✅ **Managed embeddings** - We handle all embedding generation and vector indexing\
✅ **Usage metering** - Automatic quota enforcement and billing integration\
✅ **Simple REST API** - No infrastructure to operate, no vector database to manage

## How It Works

Your app talks to one REST API. Behind that single endpoint, Anona handles authentication, tenant isolation, embedding generation, semantic indexing, and caching automatically - you never touch or configure any of it.

## Next Steps

<CardGroup cols={2}>
  <Card title="Quick Start" icon="rocket" href="/quickstart">
    Get Anona Memory running in 5 minutes
  </Card>

  <Card title="Concepts" icon="lightbulb" href="/concepts">
    Learn key terminology and ideas
  </Card>

  <Card title="API Reference" icon="rectangle-terminal" href="/api-reference/authentication">
    Full REST API documentation
  </Card>

  <Card title="Python SDK" icon="code" href="/sdk/python">
    Client library reference
  </Card>
</CardGroup>