Memory Tracker
A Model Context Protocol (MCP) server that provides persistent memory capabilities using OpenAI's vector stores, allowing AI assistants to save and search through memories across conversations.
What is Memory Tracker?
Memory Tracker is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to model context protocol (mcp) server that provides persistent memory capabilities using openai's vector stores, allowing ai assistants to save and search through memories across conversations.
A Model Context Protocol (MCP) server that provides persistent memory capabilities using OpenAI's vector stores, allowing AI assistants to save and search through memories across conversations.
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A Model Context Protocol (MCP) server that provides persiste
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx mcp-memory-trackerConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Memory Tracker
What is Memory Tracker?
Memory Tracker is a Model Context Protocol (MCP) server that model context protocol (mcp) server that provides persistent memory capabilities using openai's vector stores, allowing ai assistants to save and search through memories across conversations. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Memory Tracker?
Follow the installation instructions on the Memory Tracker GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Memory Tracker?
Memory Tracker works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Memory Tracker free to use?
Yes, Memory Tracker is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
Memory Tracker Alternatives — Similar Knowledge & Memory Servers
Looking for alternatives to Memory Tracker? Here are other popular knowledge & memory servers you can use with Claude, Cursor, and VS Code.
MemPalace
★ 52.6kA local AI memory system that stores all conversations verbatim and organizes them into navigable structures. It provides 19 MCP tools for AI assistants to search and retrieve past decisions, debugging sessions, and architecture debates automatically
Kratos
★ 25.7k🏛️ Memory System for AI Coding Tools - Never explain your codebase again. MCP server with perfect project isolation, 95.8% context accuracy, and the Four Pillars Framework.
Context Mode
★ 15.4kAn MCP server that preserves LLM context by intercepting large data outputs and returning only concise summaries or relevant sections. It enables efficient sandboxed code execution, file processing, and documentation indexing across multiple programm
Memu
★ 13.7kMemory for 24/7 proactive agents like OpenClaw.
MemOS
★ 9.3kMemOS (Memory Operating System) is a memory management operating system designed for AI applications. Its goal is: to enable your AI system to have long-term memory like a human, not only remembering what users have said but also actively invoking, u
Everos
★ 5.4kBuild, evaluate, and integrate long-term memory for self-evolving agents.
Browse More Knowledge & Memory MCP Servers
Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Memory Tracker in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use Memory Tracker?
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