Memory-Plus
A lightweight, local Retrieval-Augmented Generation (RAG) memory store for MCP agents. Memory-Plus lets your agent record, retrieve, update, and visualize persistent "memories"—notes, ideas, and session context—across runs.
🏆 First Place at the Infosys Cambridge AI Centre Hackathon!
Key Features
- Record Memories：Save user data, ideas, and important context.
- Retrieve Memories：Search by keywords or topics over past entries.
- Recent Memories：Fetch the last N items quickly.
- Update Memories：Append or modify existing entries seamlessly.
- Visualize Memories：Interactive graph clusters revealing relationships.
- File Import (since v0.1.2)：Ingest documents directly into memory.
- Delete Memories (since v0.1.2)：Remove unwanted entries.
- Memory for Memories (since v0.1.4)：Now we use
resourcesto teach your AI exactly when (and when not) to recall past interactions. - Memory Versioning (since v0.1.4)：When memories are updated, we keep the old versions to provide a full history.
Installation
1. Prerequisites
Google API Key
Obtain from Google AI Studio and set as GOOGLE_API_KEY in your environment.
Note that we will only use the
Gemini Embedding APIwith this API key, so it is Entirely Free for you to use!
# macOS/Linux
export GOOGLE_API_KEY="<YOUR_API_KEY>"
# Windows (PowerShell)
setx GOOGLE_API_KEY "<YOUR_API_KEY>"
UV Runtime Required to serve the MCP plugin.
pip install uv
Or install via shell scripts:
# macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
# Windows (PowerShell)
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
VS Code One-Click Setup
Click the badge below to automatically install and configure Memory-Plus in VS Code:
This will add the following to your settings.json:
{
"mcpServers": {
//..., your other MCP servers
"memory-plus": {
"command": "uvx",
"args": [
"-q",
"memory-plus@latest"
],
}
}
}
For cursor, go to file -> Preferences -> Cursor Settings -> MCP and add the above config.
If you didn't add the GOOGLE_API_KEY to your secrets / environment variables, you can add it with:
"env": {
"GOOGLE_API_KEY": "<YOUR_API_KEY>"
}
just after the args array with in the memory-plus dictionary.
For Cline add the following to your cline_mcp_settings.json:
{
"mcpServers": {
//..., your other MCP servers
"memory-plus": {
"disabled": false,
"timeout": 300,
"command": "uvx",
"args": [
"-q",
"memory-plus@latest"
],
"env": {
"GOOGLE_API_KEY": "${{ secrets.GOOGLE_API_KEY }}"
},
"transportType": "stdio"
}
}
}
For other IDEs it should be mostly similar to the above.
Local Testing and Development
Using MCP Inspector, you can test the memory-plus server locally.
git clone https://github.com/Yuchen20/Memory-Plus.git
cd Memory-Plus
npx @modelcontextprotocol/inspector fastmcp run run .\\memory_plus\\mcp.py
Or If you prefer using this MCP in an actual Chat Session. There is a template chatbot in agent.py.
# Clone the repository
git clone https://github.com/Yuchen20/Memory-Plus.git
cd Memory-Plus
# Install dependencies
pip install uv
uv pip install fast-agent-mcp
uv run fast-agent setup
setup the fastagent.config.yaml and fastagent.secrets.yaml with your own API keys.
# Run the agent
uv run agent_memory.py
RoadMap
- Memory Update
- Improved prompt engineering for memory recording
- Better Visualization of Memory Graph
- File Import
- Remote backup!
- Web UI for Memory Management
If you have any feature requests, please feel free to add them by adding a new issue or by adding a new entry in the Feature Request
License
This project is licensed under the Apache License 2.0. See LICENSE for details.
FAQ
1. Why is memory-plus not working?
- Memory-plus has a few dependencies that can be slow to download the first time. It typically takes around 1 minute to fetch everything needed.
- Once dependencies are installed, subsequent usage will be much faster.
- If you experience other issues, please feel free to open a new issue on the repository.
2. How do I use memory-plus in a real chat session?
- Simply add the MCP JSON file to your MCP setup.
- Once added, memory-plus will automatically activate when needed.