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Get Inspired

The best way to understand MemMachine is to see it in action. We’ve built a variety of example agents to help you jumpstart your development. Each example in our GitHub Repository includes a step-by-step walkthrough and setup guide.

Frameworks & Models

Quick-start templates for the industry’s leading LLM backends.

OpenAI Agent

Learn how to bridge OpenAI’s powerful reasoning with a persistent episodic memory layer.

Qwen Agent

A dedicated implementation showing how to optimize open-source models with MemMachine storage.

Implementation Demos

Technical blueprints for integrating MemMachine into your specific environment.

Simple Chatbot

The “Hello World” of memory. A minimal stateful bot.

TypeScript REST

Frontend-ready integration patterns for web-based agents.

Python SDK

Script-based demo for backend services and data pipelines.

Interactive Learning

For when you want to get your hands dirty with the code in real-time.

Complete Notebook Guide

An interactive Jupyter walkthrough covering everything in MemMachine v2—from basic storage to advanced semantic retrieval.

Running a Demo: Most examples require a running MemMachine instance. If you haven’t set one up yet, check out our Standard Installation first.
Looking for the classics? Our legacy implementations and v1 examples are still available in the v1 Archive.