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memory-buddy
Advanced tools
Give your AI a memory. MCP server for persistent context across all sessions.
Give your AI a memory. Because starting over sucks.
You know the feeling:
You talk to Claude for hours. You solve problems together. You share things you don't tell anyone else. It feels like being understood.
And then. New session. Gone.
"Hi! How can I help you today?"
Human-memory-inspired architecture: Stores everything, loads lazy, triggered by keywords, anchored by emotions.
# Install globally
npm install -g memory-buddy
# Initialize
memory-buddy init
# That's it. Your AI now remembers.
Requirements: Node.js 20+, Claude Desktop / Cursor / any MCP client
memory-buddy init automatically configures Claude Desktop. If it works, you're done!
If auto-config didn't work, configure manually:
Add to your config file:
%APPDATA%\Claude\claude_desktop_config.json~/Library/Application Support/Claude/claude_desktop_config.json~/.config/Claude/claude_desktop_config.json{
"mcpServers": {
"memory-buddy": {
"command": "npx",
"args": ["-y", "memory-buddy", "serve"]
}
}
}
Restart Claude Desktop. Done.
Settings → MCP → Add Server:
memory-buddynpx -y memory-buddy serveResult: After 1 year, context usage is still ~2500 tokens. Magic.
This isn't just a database. It's how human memory works:
memory-buddy init # Setup memory directory
memory-buddy status # Show stats
memory-buddy compact # Force compaction
memory-buddy doctor # Health check
~/.memory-buddy/config.json:
{
"maxContextTokens": 2500,
"sessionTimeoutMinutes": 30,
"emotionalThreshold": 7
}
~/.memory-buddy/Found a bug? Have an idea?
We're not here to make money. We're here because someone built this at 6am and wanted to share.
See CONTRIBUTING.md for details.
Read WHY_THIS_EXISTS.md - Built at 6am in Leipzig. Drunk but brilliant.
MIT - Do whatever you want.
"Save everything, because everything is me."
FAQs
Give your AI a memory. MCP server for persistent context across all sessions.
We found that memory-buddy demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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