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welcome memmachine documentation documentation index fetch the complete documentation index at llms txt use this file to discover all available pages before exploring further skip to main content memmachine documentation home page search k support platform console search navigation getting started welcome docs opensource api examples platform documentation community blog platform getting started welcome quickstart guide benchmark evaluations faqs install guides install guide resources using pip and source cloud deployments configurations integrations openclaw gpt store claude code langgraph langchain crewai n8n dify llamaindex nebulagraph tools chatgpt2memmachine core concepts agentic workflow agentic memory open source architectural overview configuration memory types databases retrieval agent architecture community close on this page let s get started local installations know the fundamentals need help getting started welcome copy page your home for memmachine documentation copy page meet memmachine an open source memory layer for advanced ai agents it enables ai powered applications to learn store and recall data and preferences from past sessions to enrich future interactions memmachine s memory layer persists across multiple sessions agents and large language models building a sophisticated evolving user profile it transforms ai chatbots into personalized context aware ai assistants designed to understand and respond with better precision and depth let s get started you can get started with memmachine in the following ways get started get up and running fast examples download an example use case local installations ready to get started with memmachine you can run it on your own machine or in the cloud the easiest way to get up and running is with the quickstart options above if you want to install memmachine yourself using pip or by downloading the code from our github repo you ll find detailed instructions in the install guide on the left hand navigation menu know the fundamentals memmachine fits in to the ai agent developers toolbox by providing a personalized memory layer that affects the operations of agents and the responses that they deliver core concepts learn about the key elements of ai agents their workflow and the need for personalized memory need help discord join our community and ask questions github open new or review existing issues quickstart guide next i github discord powered by this documentation is built and hosted on mintlify a developer documentation platform