Knowledge Graph Memory Server

by bneil
Verified

local-only server

The server can only run on the client’s local machine because it depends on local resources.

Memory Custom : PouchDB 🧠

This project adds new features to the Memory server offered by the MCP team. It allows for the creation and management of a knowledge graph that captures interactions via a language model (LLM). 🚀

This repo was forked from https://github.com/BRO3886/mcp-memory-custom which was a great starting point, thanks again for fixing timestamps. This repo's goal was more to fix the issue with an ever increasing json file for context.

New Features ✨

1. PouchDB Integration 💾

  • The server now uses PouchDB for robust document-based storage
  • Why?: Better data consistency, built-in versioning, and improved performance for large datasets
  • Maintains file backup for compatibility

2. Custom Memory Paths 📁

  • Users can now specify different memory file paths for various projects
  • Why?: This feature enhances organization and management of memory data, allowing for project-specific memory storage

3. Timestamping ⏰

  • The server now generates timestamps for interactions
  • Why?: Timestamps enable tracking of when each memory was created or modified, providing better context and history for the stored data

Getting Started 🚀

Prerequisites 🔧

  • Node.js (version 16 or higher)
  • PouchDB (automatically installed as a dependency)

Installing via Smithery 📦

To install Knowledge Graph Memory Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @bneil/mcp-memory-pouchdb --client claude

Installation 🛠️

  1. Clone the repository:
    git clone git@github.com:bneil/mcp-memory-pouchdb.git cd mcp-memory-pouchdb
  2. Install the dependencies:
    npm install

Configuration ⚙️

Before running the server, you can set the MEMORY_FILE_PATH environment variable to specify the path for the memory file. If not set, the server will default to using memory.json in the same directory as the script.

The server will automatically create a PouchDB database named 'memory_db' in your project directory. 🗄️

Or should, if worse comes to worse, create the directory and hopefully things work out.

Running the Server 🚀

Updating the mcp server json file 📝

Add this to your claude_desktop_config.json / .cursor/mcp.json file:

{ "mcpServers": { "memory": { "command": "node", "args": ["/path/to/mcp-memory-pouchdb/dist/index.js"] } } }

System Prompt changes:

Follow these steps for each interaction: 1. The memoryFilePath for this project is /path/to/memory/project_name.json - this path is used for the backup file, while the actual data is stored in a PouchDB database named 'memory_db' in the same directory. Always pass this path to the memory file operations (when creating entities, relations, or retrieving memory etc.) 2. User Identification: - You should assume that you are interacting with default_user - If you have not identified default_user, proactively try to do so. 3. Memory Retrieval: - Always begin your chat by saying only "Remembering..." and retrieve all relevant information from your knowledge graph - Always refer to your knowledge graph as your "memory" 4. Memory - While conversing with the user, be attentive to any new information that falls into these categories: a) Basic Identity (age, gender, location, job title, education level, etc.) b) Behaviors (interests, habits, etc.) c) Preferences (communication style, preferred language, etc.) d) Goals (goals, targets, aspirations, etc.) e) Relationships (personal and professional relationships up to 3 degrees of separation) 5. Memory Update: - If any new information was gathered during the interaction, update your memory as follows: a) Create entities for recurring organizations, people, and significant events, add timestamps to wherever required. You can get current timestamp via get_current_time b) Connect them to the current entities using relations c) Store facts about them as observations, add timestamps to observations via get_current_time IMPORTANT: Provide a helpful and engaging response, asking relevant questions to encourage user engagement. Update the memory during the interaction, if required, based on the new information gathered (point 4).

Running the Server Locally 💻

To start the Knowledge Graph Memory Server, run:

npm run build node dist/index.js

The server will listen for requests via standard input/output.

API Endpoints 🔌

The server exposes several tools that can be called with specific parameters:

  • Get Current Time
  • Set Memory File Path 📁
  • Create Entities
  • Create Relations 🔗
  • Add Observations 📝
  • Delete Entities
  • Delete Observations 🗑️
  • Delete Relations 🔗
  • Read Graph 📖
  • Search Nodes 🔍
  • Open Nodes 🔓

Acknowledgments 🙏

  • Inspired by the Memory server from Anthropic
  • Powered by PouchDB for robust data storage 💾
-
security - not tested
A
license - permissive license
-
quality - not tested

Enhances the MCP memory server by implementing PouchDB for robust document storage and enabling the creation and management of a knowledge graph that captures interactions via language models.

  1. New Features ✨
    1. 1. PouchDB Integration 💾
    2. 2. Custom Memory Paths 📁
    3. 3. Timestamping ⏰
  2. Getting Started 🚀
    1. Prerequisites 🔧
    2. Installing via Smithery 📦
    3. Installation 🛠️
    4. Configuration ⚙️
    5. Running the Server 🚀
  3. API Endpoints 🔌
    1. Acknowledgments 🙏