tranhuucanh

Persistent, searchable memory for Cursor AI — You control what your AI remembers.

16
1
100% credibility
Found Mar 31, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

A local add-on for Cursor AI that provides persistent, searchable memory for saving and recalling user decisions and context across chats.

How It Works

1
😩 AI Forgets Everything

You chat with your coding helper about big decisions, but every new conversation starts from scratch, making you repeat yourself.

2
🔍 Discover Memory Helper

You find a simple add-on that lets your AI save and remember the important stuff you decide together.

3
📥 Quick Setup

Download and prepare it on your computer in just a couple minutes, choosing a memory size that fits your needs.

4
🚀 Ready to Go

Restart your AI chat app, and now it's equipped to hold onto your thoughts forever, all privately on your machine.

5
💾 Save What Matters

During helpful chats, type /memo to capture key decisions, plans, or insights in a neat summary.

6
🧠 Instant Recall

Next time you ask about past choices, the AI smartly pulls up the right memories without you lifting a finger.

🎉 Smarter Coding Partner

Your AI now remembers everything important across chats, saving you time and frustration forever.

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Star Growth

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AI-Generated Review

What is cursor-memory?

Cursor-memory adds persistent, searchable storage to Cursor AI chats, letting you save key decisions and context with /memo so they're available across sessions—no more repeating architecture choices or migration plans. It runs as an MCP server via npm install, embedding memories locally in SQLite with multilingual semantic search for global or per-repo scopes. JavaScript-based, it handles long convos by chunking and supports /recall and /forget commands right in chat.

Why is it gaining traction?

Unlike file workarounds or token-wasting attachments, cursor memory gives precise control—you trigger saves manually, and AI auto-searches past context on cues like "what did we decide last time." Hybrid keyword+vector search finds meaning across 100+ languages, offline with no cloud, and structured memos keep output actionable. Cursor memory MCP integration and quick CLI setup (cursor-memory setup) hook devs tired of AI amnesia.

Who should use this?

Cursor AI users iterating on complex projects, like backend engineers planning DB migrations or full-stack devs debating deployment trade-offs across chats. Ideal for teams with repo-specific rules or multi-language codebases needing cursor memory banks to persist "we chose EFS over EBS" details. Skip if you're in one-off queries or lightweight scripting.

Verdict

Worth a spin for heavy Cursor users—solid docs, video demo, and 2-minute setup make cursor memory GitHub viable despite 16 stars and 1.0% credibility score signaling early maturity. Test in a side project; reset command clears data if it doesn't stick.

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