MCP.so
Sign In

SelfMemory

@SelfMemory

Repository

About SelfMemory

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

#memory#rag#agent#long-term-memory

Basic information

Category

Memory & Knowledge

Transports

stdio

Publisher

SelfMemory

Submitted by

Shrijayan Rajendran

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "SelfMemory": {
      "url": "https://mcp.selfmemory.com/mcp/"
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is SelfMemory?

SelfMemory is an open-source universal memory engine that lets users store and retrieve AI conversations and context across different models. It offers multiple access methods—MCP, an SDK, and the website selfmemory.com—and over time it will evolve into a one-stop memory hub with note-taking and chatbot features. For businesses, SelfMemory serves as a knowledge backbone that stores project context, organizational knowledge, documents, and data sources to power company-wide AI systems.

How to use SelfMemory?

Users can add memories through the MCP protocol, an SDK, or directly via the website selfmemory.com. No specific installation or configuration commands are provided in the README.

Key features of SelfMemory

  • Open-source universal memory engine
  • Store and retrieve AI conversations across models
  • Multiple access methods: MCP, SDK, website
  • Planned evolution into a memory hub with note-taking and chatbot
  • B2B knowledge backbone for organizational data

Use cases of SelfMemory

  • Storing and retrieving personal AI conversations across different models
  • Maintaining context continuity in multi-model chat workflows
  • Building a centralized organizational knowledge base for company-wide AI systems

FAQ from SelfMemory

Is SelfMemory open-source?

Yes, SelfMemory is an open-source universal memory engine.

How can I add memories to SelfMemory?

You can add memories via the MCP protocol, an SDK, or the website selfmemory.com.

What is the future direction of SelfMemory?

It will evolve into a one-stop memory hub featuring note-taking and chatbot capabilities.

Can SelfMemory be used for business applications?

Yes, for B2B it becomes a knowledge backbone that stores project context, organizational knowledge, documents, and data sources to power company-wide AI systems.

Does SelfMemory work with any specific AI model?

The README indicates it works across different models, making it model-agnostic rather than tied to a single provider.

Comments

More Memory & Knowledge MCP servers

Jupyter Notebook MCP Server (for Cursor)

jbeno

Model Context Protocol (MCP) server designed to allow AI agents within Cursor to interact with Jupyter Notebook (.ipynb) files

157

Ultimate Google Docs & Drive MCP Server

a-bonus

The Ultimate Google Docs, Sheets, Drive, Gmail, & Google Calendar MCP Server. This MCP (primarily for use in Claude Desktop) gains full access to your google suite and lets claude do its thing.

605

Notion MCP Integration

danhilse

A simple MCP integration that allows Claude to read and manage a personal Notion todo list

208

Notion MCP Server

awkoy

Notion MCP server for Claude, Cursor, ChatGPT & Claude Desktop. Connect AI agents to Notion via Model Context Protocol — pages, databases, blocks, comments, files.

159

Context7 MCP - Up-to-date Docs For Any Cursor Prompt

upstash

Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors

58.7K