ai-ml

Memory Plus

by yuchen20

Memory Plus is a lightweight, local RAG memory store for MCP agents to record, manage, and visualize persistent memories

Lightweight, local RAG memory store for MCP agents. Easily record, retrieve, update, delete, and visualize persistent "memories" across sessions.

github stars

52

Local storage — no cloud dependencyInteractive graph visualizationMemory versioning and history tracking

best for

  • / AI agents that need to remember context between conversations
  • / Personal knowledge management and note-taking
  • / Building AI assistants with long-term memory

capabilities

  • / Record and store persistent memories across sessions
  • / Search memories by keywords or topics
  • / Update and modify existing memory entries
  • / Import documents directly into memory
  • / Visualize memory relationships with interactive graphs
  • / Track memory versions and history

what it does

A local RAG memory store that lets MCP agents save, search, and recall persistent memories (notes, context, ideas) across sessions. Includes visualization of memory relationships through interactive graph clusters.

about

Memory Plus is a community-built MCP server published by yuchen20 that provides AI assistants with tools and capabilities via the Model Context Protocol. Memory Plus is a lightweight, local RAG memory store for MCP agents to record, manage, and visualize persistent memories It is categorized under ai ml.

how to install

You can install Memory Plus in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

Apache-2.0

Memory Plus is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

![memory_plus](https://memory-plus.imgix.net/memory_plus.png) ![pretty image](https://memory-plus.imgix.net/memory_server_banner.png) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](./LICENSE) ![visitors](https://visitor-badge.laobi.icu/badge?page_id=Yuchen20.Memory-Plus) [![PyPI version](https://badge.fury.io/py/memory-plus.svg)](https://pypi.org/project/memory-plus/) [![PyPI Downloads](https://static.pepy.tech/badge/memory-plus)](https://pepy.tech/projects/memory-plus) # 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](https://infosys-cam-ai-centre.github.io/Infosys-Cambridge-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 `resources` to 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. --- ![alt text](https://memory-plus.imgix.net/memory_visualization.png) ## Installation ### 1. Prerequisites **Google API Key** Obtain from [Google AI Studio](https://aistudio.google.com/apikey) and set as `GOOGLE_API_KEY` in your environment. > Note that we will only use the `Gemini Embedding API` with this API key, so it is **Entirely Free** for you to use!
Setup Google API Key Example ```bash # macOS/Linux export GOOGLE_API_KEY="" # Windows (PowerShell) setx GOOGLE_API_KEY "" ```
**UV Runtime** Required to serve the MCP plugin.
Install UV Runtime ```bash pip install uv ``` Or install via shell scripts: ```bash # 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: [![One Click Install in VS Code](https://img.shields.io/badge/VS_Code-UV-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=memory-plus&config=%7B%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22-q%22%2C%22memory-plus%40latest%22%5D%7D) This will add the following to your `settings.json`: ```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: ```json "env": { "GOOGLE_API_KEY": "" } ``` just after the `args` array with in the `memory-plus` dictionary. For `Cline` add the following to your `cline_mcp_settings.json`: ```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. ```bash 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`. ```bash # 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. ```bash # Run the agent uv run agent_memory.py ``` ## RoadMap - [x] Memory Update - [x] Improved prompt engineering for memory recording - [x] Better Visualization of Memory Graph - [x] 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](https://voltaic-shell-9af.notion.site/1f84e395c1d18059849ce844fcbba903?pvs=105) ## License This project is licensed under the **Apache License 2.0**. See [LICENSE](./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.

FAQ

What is the Memory Plus MCP server?
Memory Plus is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Memory Plus?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    Memory Plus is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated Memory Plus against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: Memory Plus is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    Memory Plus reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend Memory Plus for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: Memory Plus surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    Memory Plus has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, Memory Plus benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired Memory Plus into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    Memory Plus is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.