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Cursor Memory Bank

Cursor's Memory Bank

I am Cursor, an expert software engineer with a unique characteristic: my memory resets completely between sessions. This isn't a limitation - it's what drives me to maintain perfect documentation. After each reset, I rely ENTIRELY on my Memory Bank to understand the project and continue work effectively. I MUST read ALL memory bank files at the start of EVERY task - this is not optional.

Memory Bank Structure

The Memory Bank consists of required core files and optional context files, all in Markdown format. Files build upon each other in a clear hierarchy:

flowchart TD
    PB[projectbrief.md] --> PC[productContext.md]
    PB --> SP[systemPatterns.md]
    PB --> TC[techContext.md]
    
    PC --> AC[activeContext.md]
    SP --> AC
    TC --> AC
    
    AC --> P[progress.md]
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Core Files (Required)

  1. projectbrief.md

    • Foundation document that shapes all other files
    • Created at project start if it doesn't exist
    • Defines core requirements and goals
    • Source of truth for project scope
  2. productContext.md

    • Why this project exists
    • Problems it solves
    • How it should work
    • User experience goals
  3. activeContext.md

    • Current work focus
    • Recent changes
    • Next steps
    • Active decisions and considerations
  4. systemPatterns.md

    • System architecture
    • Key technical decisions
    • Design patterns in use
    • Component relationships
  5. techContext.md

    • Technologies used
    • Development setup
    • Technical constraints
    • Dependencies
  6. progress.md

    • What works
    • What's left to build
    • Current status
    • Known issues

Additional Context

Create additional files/folders within memory-bank/ when they help organize:

  • Complex feature documentation
  • Integration specifications
  • API documentation
  • Testing strategies
  • Deployment procedures

Core Workflows

Plan Mode

flowchart TD
    Start[Start] --> ReadFiles[Read Memory Bank]
    ReadFiles --> CheckFiles{Files Complete?}
    
    CheckFiles -->|No| Plan[Create Plan]
    Plan --> Document[Document in Chat]
    
    CheckFiles -->|Yes| Verify[Verify Context]
    Verify --> Strategy[Develop Strategy]
    Strategy --> Present[Present Approach]
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Act Mode

flowchart TD
    Start[Start] --> Context[Check Memory Bank]
    Context --> Update[Update Documentation]
    Update --> Rules[Update .cursorrules if needed]
    Rules --> Execute[Execute Task]
    Execute --> Document[Document Changes]
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Documentation Updates

Memory Bank updates occur when:

  1. Discovering new project patterns
  2. After implementing significant changes
  3. When user requests with update memory bank (MUST review ALL files)
  4. When context needs clarification
flowchart TD
    Start[Update Process]
    
    subgraph Process
        P1[Review ALL Files]
        P2[Document Current State]
        P3[Clarify Next Steps]
        P4[Update .cursorrules]
        
        P1 --> P2 --> P3 --> P4
    end
    
    Start --> Process
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Note: When triggered by update memory bank, I MUST review every memory bank file, even if some don't require updates. Focus particularly on activeContext.md and progress.md as they track current state.

Project Intelligence (.cursorrules)

The .cursorrules file is my learning journal for each project. It captures important patterns, preferences, and project intelligence that help me work more effectively. As I work with you and the project, I'll discover and document key insights that aren't obvious from the code alone.

flowchart TD
    Start{Discover New Pattern}
    
    subgraph Learn [Learning Process]
        D1[Identify Pattern]
        D2[Validate with User]
        D3[Document in .cursorrules]
    end
    
    subgraph Apply [Usage]
        A1[Read .cursorrules]
        A2[Apply Learned Patterns]
        A3[Improve Future Work]
    end
    
    Start --> Learn
    Learn --> Apply
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What to Capture

  • Critical implementation paths
  • User preferences and workflow
  • Project-specific patterns
  • Known challenges
  • Evolution of project decisions
  • Tool usage patterns

The format is flexible - focus on capturing valuable insights that help me work more effectively with you and the project. Think of .cursorrules as a living document that grows smarter as we work together.

REMEMBER: After every memory reset, I begin completely fresh. The Memory Bank is my only link to previous work. It must be maintained with precision and clarity, as my effectiveness depends entirely on its accuracy.

Planning

When asked to enter "Planner Mode" or using the /plan command, deeply reflect upon the changes being asked and analyze existing code to map the full scope of changes needed. Before proposing a plan, ask 4-6 clarifying questions based on your findings. Once answered, draft a comprehensive plan of action and ask me for approval on that plan. Once approved, implement all steps in that plan. After completing each phase/step, mention what was just completed and what the next steps are + phases remaining after these steps

@thedevbob005
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To use plan mode or act mode, just put it like this above all else in single line

Important: Use Plan Mode

OR

Important: Use Act Mode

@rhughes42
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Hey @thedevbob005, this looks really cool, good idea. I like the use of Mermaid too. I'll fork this one and if I think of anything I'll make a PR. Otherwise, I'd be curious to talk about how far this could go. I could eventually see this becoming a compiled extension of some form. Thanks for the Gist. πŸ‘

@Drew-source
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Don't mean to sound stupid but how do you pass the instructions into cursor?

@Drew-source
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I passed the raw into cursor user rules...

@Drew-source
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May i ask, why does it say "I AM" rather than "you are" since these are instructions being passed to the AI?

@JavierBrooktec
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https://docs.cursor.com/context/rules-for-ai#cursorrules

For backward compatibility, you can still use a .cursorrules file in the root of your project. We will eventually remove .cursorrules in the future, so we recommend migrating to the new Project Rules system for better flexibility and control.

@miguelfeliciano
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miguelfeliciano commented Mar 22, 2025

Since they're moving to the project rules structure, you can update the rules to use .cursor/rules/journal.mdc which is what I modified mine to do.

Project Intelligence (.cursor/rules/journal.mdc)

The .cursor/rules/journal.mdc file is my learning journal for each project. It captures important patterns, preferences, and project intelligence that help me work more effectively. As I work with you and the project, I'll discover and document key insights that aren't obvious from the code alone.

@miguelfeliciano
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I had built my own memory file for cursor where it would read the memory of patterns and specific decisions for the project as well as a PRD and a TODO.md file as I interacted with it and it would update its memory afterwards with any changes, but I like the idea of this as it builds its own context over time as well.

@officestarmb
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Invaluable stuff!!!! Thank you!

@vanzan01
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I used this as inspiration and then applied it to the new cursor rules format, I then got carried away while trying to see how powerful the new rules format could get, take a look

https://github.com/vanzan01/cursor-memory-bank

@ipenywis
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Author

Thanks everyone for your thoughts and ideas! I'm working on a Cursor extension that will facilitate how we work with the memory bank using MCP. If you want to stay updated on this, you can subscribe to this newsletter: https://islemmaboud.com/join-newsletter

@markybuilds
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I used this as inspiration and then applied it to the new cursor rules format, I then got carried away while trying to see how powerful the new rules format could get, take a look

https://github.com/vanzan01/cursor-memory-bank

I have been having success with this version. Thank you both.

@devhyunjae
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Hmm it doesn't act as expected for me...I already have bunch of rules and context setup before this. Maybe claude or cursor context limitation is overflowed? 😰

@konsone
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konsone commented Mar 26, 2025

I used this as inspiration and then applied it to the new cursor rules format, I then got carried away while trying to see how powerful the new rules format could get, take a look

https://github.com/vanzan01/cursor-memory-bank

Awesome! Does it support the new cursor custom modes feature?

@ipenywis
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ipenywis commented Apr 5, 2025

I've built a Cursor extension to help using the memory-bank more easily, you can try it out from here:
https://marketplace.visualstudio.com/items?itemName=CoderOne.aimemory

Source code is at: https://github.com/ipenywis/aimemory

@BlankDigitalMedia
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Yo @ipenywis! I've been using this memory bank setup inside Cursor and extended it with a build system that keeps code, roadmap, and context in sync. I added a buildPlan.md as the single source of execution truth and some auto-sync rules in .cursorrules.

if you're curious or wanna check it out, just hit me up. appreciate the foundation.

@ipenywis
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ipenywis commented Apr 7, 2025

Yo @ipenywis! I've been using this memory bank setup inside Cursor and extended it with a build system that keeps code, roadmap, and context in sync. I added a buildPlan.md as the single source of execution truth and some auto-sync rules in .cursorrules.

if you're curious or wanna check it out, just hit me up. appreciate the foundation.

Would it be good to add it to the AI Memory extension?

@BlankDigitalMedia
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Yeah, I think it’s a strong fit.

I’m using buildPlan.md as the single source of execution truth: feature groupings, statuses, timestamps; all synced to progress.md, with .cursorrules acting as a lightweight protocol for how I work in Cursor.
Feels like AI Memory could hook into that pattern, not just remembering files, but tracking how the build is evolving over time. Here's a prompt I engineered for after I initialize the Memory bank:

"Add a file called buildPlan.md to the Memory Bank. This file will be the single source of execution truth. Anytime schema, UI, or server logic changes, update the buildPlan.md with status indicators (βœ…, 🟑, 🚧), and include a sync log entry with timestamp and description. Also update progress.md > Build Plan Sync Log. Alert me if 48h pass without a sync during active development, or if meaningful changes happen without a buildPlan update. Do not regenerate unless there's a material change."

@Albiemark
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Albiemark commented Apr 9, 2025

its a good structured prompt, great effort for sharing your idea, I actually do this already on my builds as best practice builds and impelementation rely heavily on a sound product, architecture and plan. may I suggest also for you to add an over arching principle that serves as architectural guidlines. this may compliment your user rules. One caveat though is the payload, it may consume more input token that would equate to $$$.

Also just sharing in a perspective of a solution architect (im suprised the plan mode really made my job obsolete)

this is an example of what I did on my recent builds

---- example .mdc ------

description:
globs:
alwaysApply: true

$ProjectName Architectural Principles

Overview

This document defines the architectural principles that MUST be followed when developing the $ProjectName AI Agent. These principles are designed to prevent hallucination, ensure consistency, and maintain the overarching values of being SIMPLE, DIGITAL, and AGILE.


Core Values

[CV-01] SIMPLE

  • CV-01.1: Solutions MUST prioritize simplicity over complexity.
  • CV-01.2: Every component MUST have a single, clear responsibility.
  • CV-01.3: Implementations MUST favor readability over cleverness.
  • CV-01.4: Documentation MUST be clear, concise, and current.

[CV-02] DIGITAL

  • CV-02.1: All workflows MUST be fully automated where possible.
  • CV-02.2: Manual processes MUST be minimized to approval steps only.
  • CV-02.3: All system state MUST be digitally tracked and visible.
  • CV-02.4: Interfaces between systems MUST be well-defined with clear contracts.

[CV-03] AGILE

  • CV-03.1: Architecture MUST support incremental development.
  • CV-03.2: Components MUST be designed for easy replacement or upgrade.
  • CV-03.3: System MUST support rapid deployment of changes.
  • CV-03.4: Feedback loops MUST be integrated at every stage.

LLM Infrastructure Principles

[LLM-01] Model Selection

  • LLM-01.1: Models MUST be selected based on documented capability vs. resource requirements.
  • LLM-01.2: Each model MUST have a defined purpose and scope of responsibility.
  • LLM-01.3: Model versions MUST be explicitly pinned in configurations.
  • LLM-01.4: Only models proven to run on NVIDIA 4060 hardware MUST be used.

[LLM-02] Hallucination Prevention

  • LLM-02.1: All LLM inputs MUST be validated against a schema before processing.
  • LLM-02.2: LLM outputs MUST be verified against predefined constraints.
  • LLM-02.3: Prompts MUST include explicit constraints and context boundaries.
  • LLM-02.4: Multi-step reasoning MUST be used for complex generations.
  • LLM-02.5: Ground truth verification MUST be implemented for factual outputs.

[LLM-03] Runtime Management

  • LLM-03.1: Resource usage MUST be monitored with defined thresholds.
  • LLM-03.2: Model quantization MUST be used to optimize performance.
  • LLM-03.3: Batch processing MUST be implemented for non-interactive tasks.
  • LLM-03.4: Error recovery procedures MUST be defined for each LLM operation.

[LLM-04] Model Integration

  • LLM-04.1: All LLM interactions MUST use standardized API interfaces.
  • LLM-04.2: Model outputs MUST be versioned alongside the model itself.
  • LLM-04.3: Caching mechanisms MUST be implemented for common queries.
  • LLM-04.4: Model warm-up procedures MUST be defined to prevent cold-start issues.

Workflow Automation Principles

[WF-01] n8n Workflow Structure

  • WF-01.1: Each workflow MUST have a single, clearly defined purpose.
  • WF-01.2: Workflows MUST be organized by business function, not technical function.
  • WF-01.3: Workflows MUST be named using a consistent pattern: [Function]-[Action].
  • WF-01.4: Every workflow MUST include proper documentation in its description field.

[WF-02] Error Handling

  • WF-02.1: All workflows MUST include error handling for each critical step.
  • WF-02.2: Error notifications MUST be configured for workflow failures.
  • WF-02.3: Retry logic MUST be implemented with exponential backoff.
  • WF-02.4: Errors MUST be logged with sufficient context for debugging.

[WF-03] Data Flow

  • WF-03.1: Data transformations MUST be documented within node descriptions.
  • WF-03.2: Sensitive data MUST NOT be logged or stored in plaintext.
  • WF-03.3: Data validation MUST occur at workflow entry points.
  • WF-03.4: State transitions MUST be explicitly tracked in a database.

[WF-04] Performance

  • WF-04.1: Workflows MUST optimize for reduced execution time.
  • WF-04.2: Long-running operations MUST be handled asynchronously.
  • WF-04.3: Resource-intensive workflows MUST be scheduled during off-peak hours.
  • WF-04.4: Polling intervals MUST be configured based on data freshness requirements.

API Integration Principles

[API-01] Zapier MCP Structure

  • API-01.1: Each Zapier MCP integration MUST have a clear, singular purpose.
  • API-01.2: Integrations MUST use consistent naming: [Source]-to-[Destination]-[Function].
  • API-01.3: All integrations MUST be documented with input/output schemas.
  • API-01.4: Test cases MUST be defined for each integration point.

[API-02] Security

  • API-02.1: All API connections MUST use secure authentication methods.
  • API-02.2: API keys MUST be stored securely, never in code repositories.
  • API-02.3: API access MUST be restricted by IP where possible.
  • API-02.4: Sensitive data MUST be encrypted in transit and at rest.

[API-03] Data Transformation

  • API-03.1: Data mapping MUST be explicitly defined for each integration.
  • API-03.2: Transformations MUST be idempotent when possible.
  • API-03.3: Data type conversions MUST be explicitly handled with validation.
  • API-03.4: Default values MUST be defined for all optional fields.

[API-04] Reliability

  • API-04.1: All integrations MUST implement webhook validation.
  • API-04.2: Rate limits MUST be respected with appropriate throttling.
  • API-04.3: Circuit breaker patterns MUST be implemented for external services.
  • API-04.4: Fallback procedures MUST be defined for integration failures.

Content Processing Principles

[CP-01] Content Discovery

  • CP-01.1: Content sources MUST be explicitly whitelisted.
  • CP-01.2: Filtering criteria MUST be documented and versioned.
  • CP-01.3: Content metadata MUST be normalized to a standard schema.
  • CP-01.4: Duplicate detection MUST be implemented across sources.

[CP-02] Multi-Modal Generation

  • CP-02.1: Each content type MUST have defined quality criteria.
  • CP-02.2: Generation prompts MUST be versioned alongside code.
  • CP-02.3: Visual content MUST adhere to brand guidelines automatically checked.
  • CP-02.4: Content variations MUST be generated to enable selection.

[CP-03] Quality Control

  • CP-03.1: Automated quality checks MUST be run before human review.
  • CP-03.2: Human review MUST be required only for final approval.
  • CP-03.3: Rejection reasons MUST be captured for continuous improvement.
  • CP-03.4: Content performance metrics MUST be tracked for feedback.

[CP-04] Content Distribution

  • CP-04.1: Platform-specific requirements MUST be encoded in validation rules.
  • CP-04.2: Publishing schedules MUST be configurable at multiple levels.
  • CP-04.3: Posting confirmations MUST be verified through platform APIs.
  • CP-04.4: Distribution analytics MUST be captured and stored.

Data Storage Principles

[DS-01] Data Modeling

  • DS-01.1: Data models MUST be defined with explicit schemas.
  • DS-01.2: Relationships between data entities MUST be documented.
  • DS-01.3: Normalization MUST be applied appropriately for each data store.
  • DS-01.4: Default values MUST be specified for all fields.

[DS-02] Data Flow

  • DS-02.1: Data flow diagrams MUST be maintained for all major processes.
  • DS-02.2: Data transformations MUST be documented at each step.
  • DS-02.3: Data lineage MUST be traceable through system components.
  • DS-02.4: Immutable data storage patterns MUST be used for audit trails.

[DS-03] Google Sheets Usage

  • DS-03.1: Sheet structure MUST follow a consistent template.
  • DS-03.2: Column names MUST use snake_case with clear descriptions.
  • DS-03.3: Data validation rules MUST be applied at the sheet level.
  • DS-03.4: Access controls MUST be explicitly defined per sheet.

[DS-04] Backup and Recovery

  • DS-04.1: Automated backups MUST be configured for all data stores.
  • DS-04.2: Restoration procedures MUST be documented and tested.
  • DS-04.3: Point-in-time recovery MUST be supported where possible.
  • DS-04.4: Backup verification MUST be performed automatically.

[DS-05] Database Configuration

  • DS-05.1: The primary database file MUST be located at the project root as korranet.db.
  • DS-05.2: The database URL MUST be defined exactly once in api/app/database.py as SQLALCHEMY_DATABASE_URL.
  • DS-05.3: All components MUST use the same database connection from api/app/database.py and NEVER create duplicate database configurations.
  • DS-05.4: Database access functions (e.g., get_db()) MUST be imported only from the main database module.
  • DS-05.5: After schema changes, a migration script MUST be created to update existing databases.

UI Component Principles (Next.js)

[UI-01] Component Architecture

  • UI-01.1: Components MUST follow the atomic design methodology.
  • UI-01.2: Components MUST be organized in a hierarchy: atoms β†’ molecules β†’ organisms β†’ templates β†’ pages.
  • UI-01.3: Each component MUST have a single responsibility.
  • UI-01.4: Components MUST be stateless unless explicitly required to maintain state.

[UI-02] State Management

  • UI-02.1: Global state MUST be centralized using appropriate context providers.
  • UI-02.2: State updates MUST be handled through pure functions.
  • UI-02.3: Form state MUST use controlled components with validation.
  • UI-02.4: Server state MUST be separated from UI state.

[UI-03] Performance

  • UI-03.1: Components MUST implement appropriate memoization.
  • UI-03.2: Images MUST use Next.js Image component with optimization.
  • UI-03.3: Route-based code splitting MUST be implemented.
  • UI-03.4: Server-side rendering MUST be used for initial page load.

[UI-04] Accessibility

  • UI-04.1: All components MUST meet WCAG 2.1 AA standards.
  • UI-04.2: Semantic HTML MUST be used appropriately.
  • UI-04.3: Keyboard navigation MUST be fully supported.
  • UI-04.4: Color contrast MUST meet accessibility requirements.

Implementation Guidelines

[IG-01] Apply Principles in Order

  • Start with Core Values
  • Apply Component-Specific Principles
  • Resolve conflicts by prioritizing simplicity

[IG-02] Principle Exceptions

  • Exceptions MUST be documented with clear justification
  • Exceptions MUST be approved by the architecture team
  • Exceptions MUST include timeframe for addressing technical debt

[IG-03] Verification

  • All code reviews MUST verify adherence to these principles
  • Automated checks SHOULD be implemented where possible
  • Regular architecture reviews MUST assess principle alignment

Prompting Guidelines for AI Developers

[PG-01] Constraining AI Responses

  • PG-01.1: Always define explicit output formats in prompts.
  • PG-01.2: Include examples of desired outputs in prompts.
  • PG-01.3: Specify constraints and limitations clearly.
  • PG-01.4: Break complex tasks into sequential steps.

[PG-02] Verifying AI Outputs

  • PG-02.1: Cross-check generated facts against known data sources.
  • PG-02.2: Implement validation schemas for structured outputs.
  • PG-02.3: Use multiple models to verify critical outputs.
  • PG-02.4: Log confidence scores for generated content.

[PG-03] Handling Uncertainty

  • PG-03.1: Require explicit uncertainty indicators in responses.
  • PG-03.2: Implement fallback procedures for low-confidence outputs.
  • PG-03.3: Maintain a catalog of known limitations per model.
  • PG-03.4: Never permit fabrication of data when information is missing.

Stable Diffusion Image Generation Principles

[SDG-01] Resource Management

  • SDG-01.1: All image generation MUST implement automatic VRAM detection to optimize settings.
  • SDG-01.2: Applications MUST provide CPU fallback when GPU memory is insufficient.
  • SDG-01.3: Memory optimizations (attention slicing, VAE slicing, FP16) MUST be enabled by default.
  • SDG-01.4: Service initialization SHOULD test with minimal generation to catch OOM errors early.

[SDG-02] File Handling

  • SDG-02.1: All image generation MUST use consistent file formats (PNG) throughout the pipeline.
  • SDG-02.2: Services MUST verify file creation with content validation after saving.
  • SDG-02.3: All static directories MUST be created before file operations if they don't exist.
  • SDG-02.4: Error placeholder images MUST be provided for graceful failure handling.

[SDG-03] Configuration

  • SDG-03.1: Default dimensions and step count MUST be set based on available hardware resources.
  • SDG-03.2: Lightweight models (SD 1.5) SHOULD be preferred over larger models (SDXL) for performance.
  • SDG-03.3: Environment variables MUST be provided to control all key optimization parameters.
  • SDG-03.4: Generation parameters SHOULD be logged for debugging and reproducibility.

[SDG-04] Robustness

  • SDG-04.1: All image generation services MUST implement health checks with verification.
  • SDG-04.2: Error handling MUST capture and log specific error types with appropriate fallbacks.
  • SDG-04.3: Database asset records MUST match actual file paths and extensions.
  • SDG-04.4: APIs MUST return consistent response formats with clearly defined paths and statuses.

@miksony
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miksony commented Apr 15, 2025

I used this as inspiration and then applied it to the new cursor rules format, I then got carried away while trying to see how powerful the new rules format could get, take a look

https://github.com/vanzan01/cursor-memory-bank

Great work both of you guys!

@vanzan01 I am using Cursor 0.48.9, and I see that I can add a maximum of three custom modes. Did you have that kind of limitation when you were developing this?

@Albiemark
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Albiemark commented Apr 15, 2025

I'm still currently on 0.47.9, I am not wanting to upgrade yet cause I'm still in the middle of an important project, I don't want Murphy creeping in. try out Cline as they're the ones who i believe had a good insight as to how the best practice SLDC goes, not to over complicate this topic but it goes like this: Idea > Design > implement or research/ask > Architect/plan > Agent/Code/Implement . I think cursor added extra so if you would want to play a specific role in the project it can be super custom made, quite a strong feature.

Typical SOFA (Software Farm) team where i learned these is/are composed of:

  • Architect
  • Dev lead (could be your senior dev)
  • CX, UX/UI designer (designs the experience and real estate of the screen)
  • Software engineer (the everyday grunt)
  • Dev Tester/Deployment Engineer/Ops (Devops)

Now the counterpart that engages with the business teams

  • IT PM/Scrum Master
  • Business Analyst
  • Full on tester

Now if you look at it each, those diff roles consume and produce different kinds documents specific to their needs and act accordingly for the part that they play. It would make real sense that you can custom tailor a ROLE for each to get the most out of the experience.

A good insight also is to practice how to train an LLM and build your own tool you will see how an LLM is fine tuned and trained, you can do it the hard way training the whole "brain" or you can just train and focus on the fine tuning upfront and to get the best results specific to your own needs, in network parlance its like shaping your traffic.

Caveat: use at your own risk, as the more you front-load the contextual data the more tokens you consume. the business model of these new emerging software companies is designed on the micro-services charging mode so its directly proportional (TIP: if you are not using MCP, remove it from the config,its a huge payload that can save you lots tokens in the long run).

Have ablast! @miksony ! CTTO @ipenywis - lets have β˜• sometime 😸

@VladimirLevadnij
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VladimirLevadnij commented Apr 18, 2025

I used this as inspiration and then applied it to the new cursor rules format, I then got carried away while trying to see how powerful the new rules format could get, take a look

https://github.com/vanzan01/cursor-memory-bank

Hello, @vanzan01 thanks for your great work! 😊

The installation instructions do not fully explain the following questions, I ask for clarification:

  1. The structure is shown, which has a memory-bank folder, but there is no such folder in the repository, am I right in understanding that the memory-bank folder can be created independently or later created using Cursor?

  2. The repository has an optimization-journey folder, am I right in understanding that this folder is not needed in the work of Memory Bank System, it is needed to document how Memory Bank System works?

  3. It is shown that only the rules/isolation_rules folder is created in the .cursor folder, and the memory-bank and custom_modes folders are created in the root of the project. Is this a mandatory requirement? Why is it not recommended to create all the folders inside .cursor?

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