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Provides AI coding assistants with persistent memory storage using a local SQLite database. Enables tools to remember project details, notes, and relationships
Provides AI coding assistants with persistent memory storage using a local SQLite database. Enables tools to remember project details, notes, and relationships across sessions to maintain context and reduce repetitive explanations.
mcp-memento helps AI coding tools keep useful facts in one place. It gives your assistant a simple memory layer so it can hold on to notes, project details, and relationship links while you work.
Use it when you want your AI tool to remember things across sessions, track parts of a codebase, or keep a small knowledge base for a project. It stores data in SQLite, so your information stays in a local file on your computer.
Open this page and get the app from there:
After you open the page, look for the latest release or the main download option.
mcp-memento works best on a modern Windows PC with:
It is built for local use, so it does not need a large setup. Most users only need to download it and connect it to their editor or agent tool.
mcp-memento is useful when an AI assistant keeps forgetting earlier details. Instead of repeating the same project notes, you can store them once and let the tool read them later.
Common uses include:
If you downloaded a ready-to-run Windows file, open it and follow the prompts.
If you are using it with an editor or AI tool, connect it by adding the server details to that tool’s MCP settings. Many tools let you add a local server by pointing to the app file or a launch command.
Typical setup flow:
mcp-memento is made for tools that support the Model Context Protocol. That includes assistant apps and editors that can talk to local MCP servers.
When you connect it, your tool can:
If your editor has an extension panel, look for an MCP or server section. Add mcp-memento there and point it to the local app or executable you downloaded.
The app keeps data in structured form, which makes it easy to search and reuse. The database can hold:
This makes it easier for an AI assistant to stay on task without losing earlier information.
Keep track of the parts of your app, your naming rules, and the decisions you already made.
Store design notes and return to them later without retyping everything.
Save facts about APIs, files, tools, and people in one local place.
Use it with your code editor so your assistant can read and write memory while you work.
mcp-memento is built to help your assistant find the right information fast. You can keep notes short and direct, then reuse them when needed.
Good items to store:
Your memory data lives in SQLite on your machine. That makes it easy to back up, move, or inspect with other tools if needed.
Typical local storage benefits:
After you connect mcp-memento, try a simple test:
If the assistant can save and recall the note, the setup is working.
This project fits into these areas:
You may see files such as:
Keep the database file in a safe place if you want your memory to stay available between runs.
If you are comfortable using Python 3, you can run the project from source on Windows.
Typical steps:
If you are not using Python often, the Windows download is the easier path.
Because mcp-memento stores data in a local SQLite file, backups are simple.
To back up your data:
When a new version is available, download it from the same project page and replace the old app if needed. Keep your database file in place so your stored memory stays intact.
Keep entries short and clear. Store one idea per note when you can. Use names that make sense to you and your assistant.
Good examples:
AI tools work better when they can remember what matters. mcp-memento gives them a local place to store that context, so you do less repeat work and keep your project notes close at hand
Добавь это в claude_desktop_config.json и перезапусти Claude Desktop.
{
"mcpServers": {
"mcp-memento": {
"command": "npx",
"args": []
}
}
}