How do I use SelfMemory?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@SelfMemory search for my notes about car maintenance" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

SelfMemory

Store AI memories for you and your agents

It is a open-source universal memory engine where users can store and retrieve their AI conversations and context across different models. Users can add memories through MCP, SDK, or a website selfmemory.com Over time, this will evolve into a one-stop memory hub with note-taking and chatbot features. For B2B, it becomes a knowledge backbone, storing project context, organizational knowledge, documents, and data sources to power company-wide AI systems.

🚀 Quick Start

pip install selfmemory

from selfmemory import SelfMemory memory = SelfMemory() # Add memories memory.add("Can you find the nearest BMW car showroom for me.", user_id="user") # Search memories results = memory.search("Can you find a car washing service near me?", user_id="user") print(results)