Releases: vanzan01/cursor-memory-bank
# 0.7-beta Memory Bank System Release Notes
Personal Note: Memory Bank is my personal hobby project that I develop for my own use in coding projects. As this is a personal project, I don't maintain an issues tracker or actively collect feedback. However, if you're using these rules and encounter issues, one of the great advantages is that you can ask the Cursor AI directly to modify or update the rules to better suit your specific workflow. The system is designed to be adaptable by the AI, allowing you to customize it for your own needs without requiring external support.
Version 0.7-beta - Token-Optimized Workflows
Building upon the architectural foundations established in v0.6-beta.1, this release introduces significant token efficiency optimizations and enhanced workflow capabilities with substantial improvements in context management.
🌟 Major Features
Hierarchical Rule Loading System (New)
- Just-In-Time (JIT) loading of specialized rules
- Core rule caching across mode transitions
- Complexity-based rule selection
- Significant reduction in rule-related token usage
Progressive Documentation Framework (New)
- Concise templates that scale with task complexity
- Tabular formats for efficient option comparison
- "Detail-on-demand" approach for creative phases
- Streamlined documentation without sacrificing quality
Optimized Mode Transitions (Enhanced)
- Unified context transfer protocol
- Standardized transition documents
- Selective context preservation
- Improved context retention between modes
Enhanced Multi-Level Workflow System (Enhanced)
-
Level 1: Quick Bug Fix Pipeline
- Ultra-compact documentation templates
- Consolidated memory bank updates
- Streamlined 3-phase workflow
-
Level 2: Enhancement Pipeline
- Balanced 4-phase workflow
- Simplified planning templates
- Faster documentation process
-
Level 3: Feature Development Pipeline
- Comprehensive planning system
- Optimized creative phase exploration
- Improved context efficiency
-
Level 4: Enterprise Pipeline
- Advanced 6-phase workflow
- Tiered documentation templates
- Enhanced governance controls
🔄 Process Improvements
Token-Optimized Architecture
- Reduced context usage for system rules
- More context available for actual development tasks
- Adaptive complexity scaling based on task requirements
- Differential memory bank updates to minimize token waste
Mode-Based Optimization
- VAN Mode: Efficient complexity determination with minimal overhead
- PLAN Mode: Complexity-appropriate planning templates
- CREATIVE Mode: Progressive documentation with tabular comparisons
- IMPLEMENT Mode: Streamlined implementation guidance
- REFLECT Mode: Context-aware review mechanisms
- ARCHIVE Mode: Efficient knowledge preservation
Advanced Workflow Optimization
- Intelligent level transition system
- Clear complexity assessment criteria
- Streamlined mode switching
- Enhanced task tracking capabilities
📚 Documentation Enhancements
- Level-specific documentation templates
- Progressive disclosure model for complex documentation
- Standardized comparison formats for design decisions
- Enhanced context preservation between documentation phases
🛠 Technical Improvements
- Graph-based rule architecture for efficient navigation
- Rule dependency tracking for optimal loading
- Context compression techniques for memory bank files
- Adaptive rule partitioning for targeted loading
📋 Known Issues
- None reported in current release
🧠 The Determinism Challenge in AI Workflows
While Memory Bank provides robust structure through visual maps and process flows, it's important to acknowledge an inherent limitation: the non-deterministic nature of AI agents. Despite our best efforts to create well-defined pathways and structured processes, language models fundamentally operate on probability distributions rather than fixed rules.
This creates what I call the "determinism paradox" – we need structure for reliability, but rigidity undermines the adaptability that makes AI valuable. Memory Bank addresses this through:
- Guiding rather than forcing: Using visual maps that shape behavior without rigid constraints
- Bounded flexibility: Creating structured frameworks within which creative problem-solving can occur
- Adaptive complexity: Adjusting guidance based on task requirements rather than enforcing one-size-fits-all processes
As a companion to Memory Bank, I'm developing an MCP Server (Model-Context-Protocol) project that aims to further address this challenge by integrating deterministic code checkpoints with probabilistic language model capabilities. This hybrid approach creates a system where AI can operate flexibly while still following predictable workflows – maintaining the balance between structure and adaptability that makes Memory Bank effective.
When using Memory Bank, you may occasionally need to guide the agent back to the intended workflow. This isn't a failure of the system but rather a reflection of the fundamental tension between structure and flexibility in AI systems.
🔜 Upcoming Features
- Dynamic template generation based on task characteristics
- Automatic context summarization for long-running tasks
- Cross-task knowledge preservation
- Partial rule loading within specialized rule files
- MCP integration for improved workflow adherence
📝 Notes
- This release builds upon v0.6-beta.1's architectural foundation
- Significantly enhances JIT Rule Loading efficiency
- No manual migration required
- New files added to
.cursor/rules/isolation_rules/
directory
🔧 Requirements
- Requires Cursor version 0.48 or higher
- Compatible with Claude 3.7 Sonnet (recommended) and newer models
- Compatible with all existing Memory Bank v0.6-beta.1 installations
📈 Optimization Approaches
- Rule Loading: Hierarchical loading with core caching and specialized lazy-loading
- Creative Phase: Progressive documentation with tabular comparisons
- Mode Transitions: Unified context transfer with selective preservation
- Level 1 Workflow: Ultra-compact templates with consolidated updates
- Memory Bank: Differential updates and context compression
Released on: May 7, 2025
Memory Bank System v0.6-beta Release Notes
Memory Bank System v0.6-beta Release Notes
Release Date: Tuesday 1st April (No Fools)
I'm thrilled to announce the release of Memory Bank System v0.6-beta, representing a major architectural overhaul designed to improve efficiency, scalability, and clarity in structured development workflows within Cursor.
This is a beta release, focused on introducing the new architecture. As a personal project under active development, expect further refinements and feature additions over time.
🎉 Major Architectural Overhaul: From Monolithic to Modular
This version marks a fundamental shift away from the previous single-file, monolithic approach (v0.1-legacy) to a modular, graph-based system. Key architectural improvements include:
- Just-In-Time (JIT) Rule Loading: Drastically reduces context window usage (from ~70% to ~15-20%) by loading only the rules relevant to the current development phase (VAN, PLAN, CREATIVE, IMPLEMENT).
- Graph-Based Efficiency: Utilizes directed graphs for optimized navigation of decision trees and workflows, explicitly modeling relationships between phases and components.
- Visual Process Maps: Embeds Mermaid diagrams within modes to provide clear visual guidance on workflows, decision points, and progress tracking.
- Isolated Rules Architecture: Eliminates global rules. All system behavior is contained within specific custom modes, ensuring no interference with regular Cursor usage when Memory Bank modes are inactive.
(See the Memory Bank Upgrade Guide for a detailed explanation of these changes.)
✨ Enhanced Integration with Cursor Custom Modes
Memory Bank v0.6-beta leverages Cursor's custom modes feature far beyond simple prompt changes:
- Structured Workflow: Introduces four core custom modes (🔍 VAN, 📋 PLAN, 🎨 CREATIVE, ⚒️ IMPLEMENT) designed to work together in a logical sequence.
- Interconnected Modes: Modes are treated as nodes in a development graph with defined transitions and context handoffs.
- Shared Memory: Maintains persistent state across mode transitions using dedicated Memory Bank files (
tasks.md
,activeContext.md
,progress.md
). - Callable QA Function: Technical validation (QA) is now a function callable from any mode by typing "QA", providing flexibility for verification throughout the process, rather than being a separate mode.
🚀 Key Feature Highlights
- CREATIVE Mode Enhancement: Conceptually based on Anthropic's Claude "Think" tool methodology for structured exploration and documentation of design decisions. (See CREATIVE Mode Details).
- Platform Awareness: Improved automatic detection of the operating system (Windows, macOS, Linux) for more reliable command generation.
- Complexity Scale: Preserves the foundational 4-level complexity scale to guide workflow paths and documentation needs.
- Improved Technical Validation: QA functions provide context-aware checks based on the current development phase.
⚠️ Important Notes for Users
- Beta Status: This is an experimental release. Features and documentation may evolve.
- Compatibility:
- Requires Cursor version 0.48 or higher.
- Claude 3.7 Sonnet is the recommended AI model for optimal performance, particularly with the CREATIVE mode. Other models might work but could lead to variations in interpretation.
- No Formal Migration Path: This version is primarily intended for new projects. The previous stable version (v0.1-legacy) remains available for existing projects or users preferring stability.
- Manual Setup: Setting up the four custom modes in Cursor requires manual copying and pasting of instructions (see README for details).
🛠️ Getting Started
Please refer to the updated README.md for detailed installation instructions, setup steps for the custom modes, and basic usage guidelines.
💬 Feedback Welcome
As a personal hobby project, I greatly appreciate any feedback, bug reports, or suggestions for improvement!
📚 Resources
- README.md (Installation, Setup, Usage)
- Memory Bank Upgrade Guide (Architectural Deep Dive)
- CREATIVE Mode and Claude's "Think" Tool (CREATIVE Mode Details)
Thank you for trying out Memory Bank v0.6-beta! I hope this new architecture enhances your development workflow.
Memory Bank System v0.1-legacy
Memory Bank System v0.1-legacy
This is the final release of the original monolithic Memory Bank system before its evolution to the new modular architecture.
About This Release
This version provides a complete, self-contained system for structured development using a single comprehensive rule file. The Memory Bank system implements adaptive complexity levels (1-4) with corresponding workflows and documentation requirements.
Key Features
- Single file architecture for simplicity
- Adaptive 4-level complexity scale
- Comprehensive documentation templates
- Creative phase handling
- Structured task tracking
Who Should Use This Version
This version is recommended for:
- Beginners learning the Memory Bank system for the first time
- Users who prefer simplicity over the advanced features of the modular system
- Simpler projects that don't require the full power of the modular architecture
Looking Forward
While this represents the final version of the original architecture, a new modular, JIT-based system is now available that offers enhanced capabilities for complex projects.
This legacy version will remain available for those who find its straightforward approach valuable for their workflows.