What kind of categories are supported?

It supports a wide range of categories including architecture, database, API, frontend, performance, and security to help organize your stored knowledge.

Do I need a cloud account to use the Remember skill?

No, the skill is designed with a graph-first architecture that works entirely locally out of the box. Cloud synchronization is an optional enhancement.

How does the Remember skill store information?

The skill primarily uses a local knowledge graph to store entities and relationships (free and zero-config). It can also optionally sync to the cloud using mem0 if a MEM0_API_KEY is configured.

Can I scope memories to specific projects?

Yes, you can use the --agent flag to scope memory to a specific agent or the --global flag to store best practices that should be available across all your projects.

Can I distinguish between good and bad patterns?

Yes, the skill includes specific outcome flags like --success and --failed to categorize entries as proven best practices or known anti-patterns.

Remember: Pattern & Decision Tracker

Name: Remember: Pattern & Decision Tracker
Author: yonatangross

byyonatangross

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Productivity & Workflow

Stores architectural decisions, coding patterns, and lessons learned in a persistent knowledge graph for Claude Code.

About

The Remember skill provides Claude Code with a sophisticated, graph-based long-term memory system to track technical decisions and development patterns across sessions. By utilizing a zero-config Knowledge Graph as primary storage—and offering optional cloud synchronization via mem0—it allows developers to build a custom 'Best Practice Library' that evolves with their codebase. The skill automatically extracts entities and relationships, differentiates between successful patterns and anti-patterns, and scopes memories to specific projects or agents, ensuring that valuable context and institutional knowledge are never lost during the development lifecycle.

Key Features

Graph-first architecture for zero-config, local relationship mapping.
Optional cloud synchronization via mem0 for persistent cross-device memory.
29 GitHub stars
Project and agent-specific scoping for granular context management.
Success and anti-pattern tracking to build a validated best-practice library.
Automatic entity and relationship extraction from natural language input.

Use Cases

Recording lessons learned from failed implementations to avoid repeating common anti-patterns.
Documenting why a specific library or architecture was chosen over alternatives to prevent future regression.
Creating a project-specific library of coding standards and conventions for consistent team development.

About

Key Features

Graph-first architecture for zero-config, local relationship mapping.
Optional cloud synchronization via mem0 for persistent cross-device memory.
29 GitHub stars
Project and agent-specific scoping for granular context management.
Success and anti-pattern tracking to build a validated best-practice library.
Automatic entity and relationship extraction from natural language input.

Use Cases

Recording lessons learned from failed implementations to avoid repeating common anti-patterns.
Documenting why a specific library or architecture was chosen over alternatives to prevent future regression.
Creating a project-specific library of coding standards and conventions for consistent team development.