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Guides

Step-by-step tutorials and best practices for building with Trix.

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Overview

These guides walk you through common use cases and best practices for integrating Trix into your AI applications. Whether you're building a chatbot, an autonomous agent, or a multi-user platform, you'll find practical examples and patterns here.

Use Case Guides

Learn how to build specific types of applications with Trix:

Building Chatbots

Add persistent memory to conversational AI. Remember user preferences, conversation history, and context across sessions.
Building Agents

Create autonomous agents that learn and adapt. Store task results, decision patterns, and accumulated knowledge.

Integration Guides

Connect Trix to your existing infrastructure:

LLM Integrations

Integrate Trix with OpenAI, Anthropic, and other LLM providers. Examples for popular frameworks.
RAG Patterns

Implement Retrieval-Augmented Generation with Trix as your memory and knowledge store.

Advanced Guides

Scale and optimize your Trix implementation:

Multi-User Applications

Manage memories across multiple users with proper isolation, sharing controls, and access patterns.
Best Practices

Production-ready patterns for memory management, performance optimization, and error handling.

Getting Started

New to Trix? Start with the Quick Start guide to set up your first memory store, then come back here to explore specific use cases.

Recommended reading order for beginners:

  1. Quick Start - Get Trix running in 5 minutes
  2. Core Concepts: Memories - Understand how memories work
  3. Building Chatbots - Your first memory-enabled app
  4. Best Practices - Production patterns