Open Source AI Memory MCP Server — Self-Hosted Memory for Claude, Cursor & More (2026)

The complete guide to open source AI memory servers. Learn how to set up self-hosted memory for Claude Desktop, Cursor, Windsurf, and 100+ MCP clients — no cloud required, no subscription fees.

$ pip install aimemory-mcp-server
$ aimemory-mcp-server

Why Open Source AI Memory Matters

Every conversation you have with ChatGPT, Claude, or DeepSeek contains valuable context about your projects, your code, your thinking. That's hundreds of hours of knowledge that disappears into platform silos.

The problem with VC-funded memory platforms:They require your data to leave your infrastructure. Mem0, backed by $24M in funding, runs as a cloud API. Your conversations flow through their servers. That's a non-starter for:

• Security teams who can't let proprietary code leave the company
• Privacy advocates who want 100% data ownership
• Cost-conscious developers who don't want another subscription
• Offline users who need memory without internet

Open source AI memory gives you all the benefits without the cloud dependency:

• ✅ 100% data ownership — SQLite database on your machine
• ✅ Zero subscription fees — free forever
• ✅ Offline capable — works without internet
• ✅ Audit friendly — every line of code is public
• ✅ No vendor lock-in — standard MCP protocol

What is MCP (Model Context Protocol)?

MCP is the USB-C of AI — one standard that connects any AI assistant to any data source. Instead of building separate integrations for Claude, Cursor, ChatGPT, and Windsurf, you build one MCP server and it works everywhere.

For AI memory, this means you can:

• Search your ChatGPT history from Claude Desktop
• Reference Claude solutions when coding in Cursor
• Retrieve DeepSeek debugging sessions in Windsurf
• All from one unified memory server

113+ AI clients now support MCP, including:

AI Memory vs Mem0 — The Key Differences

When developers search for "open source AI memory," they often find Mem0. Here's the critical distinction:

Bottom line: Mem0 is a B2B memory API platform. AI Memory is an open-source MCP server for developers who want self-hosted, cross-platform AI memory.

How to Set Up AI Memory MCP Server

Prerequisites

• Python 3.8 or higher
• An MCP-compatible AI client (Claude Desktop, Cursor, Windsurf, etc.)
• 2 minutes of your time

Step 1: Install the Server

$ pip install aimemory-mcp-server

This installs the MCP server and all dependencies. The server uses SQLite for storage with full-text search (FTS5) enabled.

Step 2: Configure Claude Desktop

Edit your Claude Desktop config file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

Add the AI Memory server:

{
  "mcpServers": {
    "ai-memory": {
      "command": "aimemory-mcp-server"
    }
  }
}

Step 3: Configure Cursor IDE

Open Cursor Settings → MCP → Add New MCP Server:

• Name: AI Memory
• Type: stdio
• Command: aimemory-mcp-server

Step 4: Configure Windsurf

Edit ~/.windsurf/mcp_servers.json:

{
  "mcpServers": {
    "ai-memory": {
      "command": "aimemory-mcp-server"
    }
  }
}

Step 5: Restart Your AI Client

After adding the configuration, restart Claude Desktop, Cursor, or Windsurf. The AI Memory server will start automatically when needed.

7 Memory Tools Available

Once connected, your AI assistant can use these tools:

Usage Examples

Example 1: Ask Claude to Remember Your Tech Stack

Claude will use save_memory to store this. In future conversations, you can ask:

Example 2: Reference Past Solutions in Cursor

When debugging in Cursor, ask: "Search my memory for that React performance optimization we discussed last week." Cursor will use search_memories to find the relevant conversation.

Example 3: Track Project Decisions

Ask Claude to save architectural decisions: "Remember that we chose PostgreSQL over MongoDB because we need ACID transactions for financial data." This becomes searchable context for future planning sessions.

Importing Existing Conversations

The MCP server works with the web app at aimemory.pro. To import your conversation history:

1. Export from ChatGPT: Settings → Data Controls → Export Data
2. Export from Claude: Settings → Data → Export conversations
3. Export from DeepSeek: Profile → Export chat history
4. Upload to aimemory.pro
5. Your conversations sync to the MCP server automatically

You can also use the Chrome extension for automatic capture of new conversations.

Open Source on GitHub

The entire AI Memory project is open source:

• Web App + MCP Server: github.com/jingchang0623-crypto/aimemory
• License: MIT
• Stars: Growing community
• Issues: Public issue tracker
• Contributions: PRs welcome

Frequently Asked Questions

Get Started Now

pip install aimemory-mcp-server

Related Guides

• How to Set Up MCP Server: Complete Guide for AI Memory
• Claude Desktop MCP Setup: Complete Tutorial (2026)
• MCP Cursor Setup Guide: Give Your AI IDE Memory
• Mem0 Alternative: AI Memory vs Mem0 — Which Should You Choose?
• Best MCP Servers 2026: Top 15 Tools for Claude, Cursor & More