Memcord
🐍 🏠 🐧 🍎 - A MCP server that keeps your chat history organized and searchable—with AI-powered summaries, secure memory, and full control.
What is Memcord?
Memcord is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 🐍 🏠 🐧 🍎 - a mcp server that keeps your chat history organized and searchable—with ai-powered summaries, secure memory, and full control.
🐍 🏠 🐧 🍎 - A MCP server that keeps your chat history organized and searchable—with AI-powered summaries, secure memory, and full control.
This server falls under the Knowledge & Memory and Communication categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- 🐍 🏠 🐧 🍎 - A MCP server that keeps your chat history organize
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx memcordConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Memcord
Memcord is a local, privacy-first MCP server that gives AI assistants persistent, searchable memory across conversations by saving, organizing, and retrieving chat history on your own machine. It exposes 23 tools covering everything from saving conversation snapshots with AI-generated summaries to full-text and semantic search across past sessions, with zero cloud dependencies. Developers and power users who want their AI assistant to remember context, decisions, and prior work across separate sessions will find it especially valuable.
Prerequisites
- Python 3.9 or later installed on your system
- uv package manager installed (run 'pip install uv' or see https://github.com/astral-sh/uv)
- An MCP-compatible client such as Claude Desktop
- Git to clone the repository (or use the one-line installer script)
Install Memcord using the automated installer
The fastest way to get started is the platform installer, which sets up the Python environment and generates the Claude config automatically.
# macOS / Linux
curl -fsSL https://github.com/ukkit/memcord/raw/main/install.sh | bash
# Windows PowerShell
irm https://github.com/ukkit/memcord/raw/main/install.ps1 | iexOr install manually with uv
Clone the repository, create a virtual environment with uv, install dependencies, and run the config generator to produce the Claude Desktop config snippet.
git clone https://github.com/ukkit/memcord.git
cd memcord
uv venv
uv pip install -e .
uv run python scripts/generate-config.pyAdd the generated config to Claude Desktop
The generate-config.py script prints a JSON snippet. Merge it into your claude_desktop_config.json at ~/Library/Application Support/Claude/ (macOS). Restart Claude Desktop after saving.
{
"mcpServers": {
"memcord": {
"command": "uv",
"args": ["run", "--directory", "/path/to/memcord", "python", "-m", "memcord"]
}
}
}Initialize a project memory slot
In your Claude conversation, bind the current working directory to a named memory slot so Memcord knows which project context to use.
Configure your preferred summarization backend
Memcord supports four summarization backends. The default (nltk) requires no extra installs. For AI-powered abstractive summaries, install the transformers extra.
# Install semantic or transformer backends (optional)
pip install "memcord[semantic]"
pip install "memcord[transformers]"
# Set via the MCP tool (tell Claude):
# memcord_configure action="set" key="summarizer_backend" value="transformers"Memcord Examples
Client configuration
Claude Desktop config entry for Memcord, running the server via uv from the cloned repository directory.
{
"mcpServers": {
"memcord": {
"command": "uv",
"args": [
"run",
"--directory",
"/Users/yourname/memcord",
"python",
"-m",
"memcord"
]
}
}
}Prompts to try
Example instructions to give Claude once Memcord is connected and a session is active.
- "Save this conversation to my project-alpha memory slot with a summary"
- "Search my memory for anything about the API design decisions we made"
- "What did we decide about authentication in previous sessions?"
- "Show me a summary of my last five saved conversations"
- "Enable privacy mode so nothing is saved for this session"Troubleshooting Memcord
memcord tools do not appear in Claude after adding the config
Confirm the directory path in the config points to where you cloned the repo, and that uv is on the PATH Claude Desktop uses (full path may be needed, e.g. /Users/yourname/.cargo/bin/uv). Restart Claude Desktop completely after config changes.
Summarization is very slow or times out
The 'transformers' backend downloads a BART model on first use, which can take several minutes. Switch to the faster 'nltk' or 'sumy' backend: tell Claude 'memcord_configure action=set key=summarizer_backend value=nltk'.
memcord_search returns no results for conversations I know were saved
Check that memcord_init was run in the project directory to bind the correct slot. Search uses the slot associated with the current working directory; if you are in a different directory the data may be in a different slot.
Frequently Asked Questions about Memcord
What is Memcord?
Memcord is a Model Context Protocol (MCP) server that 🐍 🏠 🐧 🍎 - a mcp server that keeps your chat history organized and searchable—with ai-powered summaries, secure memory, and full control. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Memcord?
Follow the installation instructions on the Memcord GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Memcord?
Memcord works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Memcord free to use?
Yes, Memcord is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
Memcord Alternatives — Similar Knowledge & Memory Servers
Looking for alternatives to Memcord? Here are other popular knowledge & memory servers you can use with Claude, Cursor, and VS Code.
MemPalace
★ 52.6kA local AI memory system that stores all conversations verbatim and organizes them into navigable structures. It provides 19 MCP tools for AI assistants to search and retrieve past decisions, debugging sessions, and architecture debates automatically
Kratos
★ 25.7k🏛️ Memory System for AI Coding Tools - Never explain your codebase again. MCP server with perfect project isolation, 95.8% context accuracy, and the Four Pillars Framework.
Context Mode
★ 15.4kAn MCP server that preserves LLM context by intercepting large data outputs and returning only concise summaries or relevant sections. It enables efficient sandboxed code execution, file processing, and documentation indexing across multiple programm
Memu
★ 13.7kMemory for 24/7 proactive agents like OpenClaw.
MemOS
★ 9.3kMemOS (Memory Operating System) is a memory management operating system designed for AI applications. Its goal is: to enable your AI system to have long-term memory like a human, not only remembering what users have said but also actively invoking, u
Everos
★ 5.4kBuild, evaluate, and integrate long-term memory for self-evolving agents.
Browse More Knowledge & Memory MCP Servers
Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Memcord in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use Memcord?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.