vanzan01/cursor-memory-bank

A modular, documentation-driven framework using Cursor custom modes (VAN, PLAN, CREATIVE, IMPLEMENT) to provide persistent memory and guide AI through a...

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Summary Information

Updated 3 hours ago
Added to GitGenius on September 22nd, 2026
Created on March 22nd, 2025
Open Issues & Pull Requests: 9 (+0)
GitHub issues: Enabled
Number of forks: 436
Total Stargazers: 3,062 (+0)
Total Subscribers: 107 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 7.2 hours
Mean response time: 43.8 hours
90th percentile: 47.9 hours
Tracked items: 15

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Issue Activity (beta)

Open issues: 9
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 418 days
Stale 30+ days: 9
Stale 90+ days: 9

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Cursor Memory Bank is a framework that extends Cursor IDE with custom modes to maintain persistent memory and structure AI-assisted development workflows.

The framework addresses the challenge of maintaining context and consistency when using AI coding assistants by implementing a modular, documentation-driven approach. It introduces four custom modes—VAN, PLAN, CREATIVE, and IMPLEMENT—that guide the AI through distinct phases of development. Each mode carries forward memory from previous interactions, allowing the assistant to understand project history, decisions, and constraints. The framework uses visual process maps to represent the workflow, making the development path explicit and reproducible across sessions.

Developers working on projects where AI assistance spans multiple sessions will find this most valuable, particularly those who struggle with context loss or inconsistent AI behavior across interactions. The framework suits teams that want to formalize how they collaborate with AI tools and maintain a documented record of development decisions. It is specifically designed for Cursor IDE users and leverages Cursor's custom mode functionality, so adoption requires that development environment.

The project shows active development with regular updates to its documentation and framework structure. The codebase reflects ongoing refinement of the mode definitions and memory persistence mechanisms. Contributions focus on improving the clarity and usability of the workflow guides rather than adding entirely new capabilities.