Product Introduction

1. Universal Memory MCP is a decentralized memory management system that synchronizes user-generated AI interaction histories across multiple large language models (LLMs) through a secure, portable endpoint.
2. The product eliminates platform-locked memory storage by providing a unified API endpoint that works with all major LLM clients, including Claude, ChatGPT, and Gemini, without requiring proprietary integrations.

Main Features

1. Cross-platform memory synchronization enables real-time updates to conversational histories across all connected AI services using Server-Sent Events (SSE) protocol via a unique MCP URL.
2. One-command deployment supports installation through platform-specific package managers (NPM/Yarn) with client-targeted configurations using flags like "--client claude" for Claude.ai integrations.
3. Zero authentication architecture operates through cryptographically secure MCP URLs (256-bit entropy) that function as both identifiers and access tokens, removing traditional login requirements.

Problems Solved

1. Addresses memory fragmentation caused by isolated AI platforms storing user histories in proprietary formats inaccessible to competing services.
2. Serves power users who interact with multiple LLMs daily, including AI researchers, prompt engineers, and developers building cross-platform AI applications.
3. Enables continuous contextual awareness for AI assistants during extended workflows spanning different platforms, such as transitioning ChatGPT code debugging sessions to Claude for documentation analysis.

Unique Advantages

1. Unlike OpenAI's memory API, Universal Memory MCP uses open SSE standards rather than REST endpoints, allowing simultaneous bi-directional memory streaming to multiple clients.
2. The system implements client-specific memory normalization that automatically adapts conversation histories to each LLM's preferred context window format and tokenization requirements.
3. Competitive edge comes from bypassing cloud vendor lock-in through user-controlled memory storage options, including local hosting via the "install-mcp" command's self-hosting parameters.

Frequently Asked Questions (FAQ)

1. How do I verify my MCP endpoint is working correctly? The system returns real-time SSE events with memory confirmation hashes (SHA-256) upon successful storage operations, visible through developer console monitoring.
2. What clients are currently supported? Installation supports Claude, ChatGPT, and Gemini through the --client flag, with new integrations added via weekly NPM package updates to the @supermemory/mcp module.
3. How is memory security handled without logins? All data transfers use TLS 1.3 encryption with perfect forward secrecy, while the MCP URL itself contains 128-character randomized identifiers that serve as both address and access token.
4. Can I migrate existing ChatGPT memories? The system automatically converts OpenAI's base64-encoded memory dumps to universal JSON-LD format during initial setup using the "migrate-legacy" subcommand.
5. What happens if my MCP URL is compromised? Users can immediately regenerate endpoint URLs through the "rotate-endpoint" command, which invalidates previous URLs within 15 seconds across all connected clients.