Skip to main content

​
Overview

Memwyre is a universal memory layer for AI — a persistent, cross-tool knowledge vault that sits between you and the AI models you use daily. Instead of re-explaining your project architectures to Cursor, losing context when a Claude conversation ends, or copy-pasting developer guidelines into ChatGPT, Memwyre centralizes your context. It automatically stores, structures, and dynamically injects the relevant facts into whatever AI client you are active in.

​
Core Pillars

​
1. Model Context Protocol (MCP)

Memwyre operates as an MCP server. This allows AI clients like Claude Desktop, Cursor, and VS Code to natively query your memory vault. The AI client can autonomously search your memories or write new memories back to your vault during a conversation.

​
2. Hierarchical Entity Graphs

Traditional RAG retrieves random text chunks based on keywords. Memwyre maps your knowledge into a graph structure. It knows that Project A uses Database B which has Schema C, ensuring that querying Project A brings in the entire context chain automatically.

​
3. Integrated Capturing Ecosystem

  • Browser Extension: Clip web pages, API docs, or save entire conversation histories from ChatGPT, Claude.ai, and Perplexity with one click.
  • Ready-to-Use Connectors: Connect Notion, GitHub, Google Drive, and Gmail to keep your memory vault continuously synchronized with your team’s documents.
  • Agent CLI Plugins: Native terminal integrations for command-line agents like Claude Code and OpenClaw.

​
Terminology

​
Choose Your Integration Path

Get started with the integrations that fit your workflow:

​
Quick Start (60 Seconds)

  1. Create an Account: Sign up at app.memwyre.tech.
  2. Install the Browser Extension: Download the extension (guide).
  3. Configure the Token: Go to your dashboard settings, copy your API token, and paste it into the extension.
  4. Begin Querying: Open your IDE or ChatGPT — Memwyre is active and ready to feed context.