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Open Source · Memory and Vector

MemorySync

Starter template for Cursor AI with persistent memory and live docs over Model Context Protocol (MCP).

Our verdict

Not reviewed yet

We have not reviewed MemorySync yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

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From the listing

About MemorySync

MemorySync is a community-maintained starter template for Cursor AI that adds persistent memory and live documentation through the Model Context Protocol (MCP). Written in Python, it gives developers a base to build on rather than a complete solution. It is early-stage with no public stars yet.

Best for

Cursor users who want a lightweight starting point for persistent memory and live docs via MCP.

Use cases

  • Set up persistent memory for Cursor AI coding sessions
  • Serve live project documentation to Cursor via MCP
  • Bootstrap a Python MCP server for Cursor integration

Notes

0 stars on GitHub. Last updated 2026-09-28. Licensed MIT.

Pros

  • Uses the standard MCP protocol for interoperability
  • Open source and community maintained
  • Simple Python template to extend

Cons

  • No stars or community validation yet
  • Starter template, not a full-featured solution
  • Requires Python environment setup

Key facts

What we have checked

GitHub stars
0
Checked github api via nightly crawl, recovered from git history a4692e327b8f3e9910b4a3a1a5a01e375baca892

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Sources

Where this comes from

  • github api via nightly crawl, recovered from git history a4692e327b8f3e9910b4a3a1a5a01e375baca892Registry

    Checked · GitHub stars

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

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