- Standard Installation: Access the main guide for installing MemMachine using the preferred methods:
Using PIP or Source
Quickest Start for Most Developers. The simplest, one-line setup using Python’s package manager. Recommended for all users integrating MemMachine into an existing project.
Configure Wizard Guide
Configuration wizard for manual installation A detailed guide for using a Wizard to assist with MemMachine Configuration. Ideal for contributors and active development.
- Configurations: Find a Quickstart Guide and specific details for setting up MemMachine’s backend with popular AI platforms:
Using Ollama Models
Self-Host Your AI Backend. Instructions for configuring MemMachine to use Ollama for local, open-source LLM and embedding models, maximizing privacy and control.
Using AWS Bedrock
Scale with AWS Managed Services. Learn how to leverage AWS Bedrock’s enterprise-ready models for reliable, high-volume memory management and processing.
- Integrations: Find specific configuration and integration details for using MemMachine in popular AI applications and workflows:
Claude Code and MCP
Give Claude Real-Time Recall. Step-by-step guide to configuring the MemMachine Control Protocol (MCP) as a Custom Tool. Instantly provide Claude with access to persistent user profiles and deep conversation context.
OpenAI GPTStore
Persistent Memory for Custom GPTs. Learn how to set up MemMachine as a Custom Action to furnish your GPTs with reliable, long-term memory and accurate user history.
LangGraph
Master State and Workflow with LangGraph. A practical guide to integrating MemMachine into your graph chains for managing state, complex agent handoffs, and durable session memory.