Where is my data stored?

Data is stored locally in your project directory in files specified by your '.claude/memory-settings.json' configuration, ensuring your data remains private and under your control.

Does it overwrite my existing notes?

No, the skill follows specific workflows for different files: it updates relevant sections in your preferences, prepends new conversation summaries to the top, and appends milestones to long-term logs.

Can I manually ask Claude to remember something?

Yes, while the skill is designed to be proactive, it will also trigger whenever you explicitly ask Claude to remember a specific piece of information.

How does the memory-remember skill identify what to save?

The skill is auto-triggered by the Engram hook whenever it detects new user preferences, project milestones, architecture decisions, or when a conversation reaches a natural conclusion.

Engram Memory Persistence

Name: Engram Memory Persistence
Author: legacybridge-tech

bylegacybridge-tech

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Productivity & Workflow

Automatically captures and stores user preferences, architectural decisions, and conversation summaries into structured local files.

About

The memory-remember skill provides Claude with a proactive long-term memory system, allowing it to record critical project context without manual intervention. It intelligently classifies information into three distinct categories: user preferences, conversation summaries, and long-term milestones. By maintaining these records in your local directory, the skill ensures that project conventions, technical decisions, and past lessons learned are preserved across multiple sessions, significantly reducing context loss and the need for repetitive instructions.

Key Features

Automated classification into preferences, summaries, or long-term logs
Proactive memory capture triggered by new preferences or decisions
Self-maintaining conversation history with chronological summaries
3 GitHub stars
Structured recording of architectural milestones and technical debt
Local file management based on configurable memory settings

Use Cases

Tracking evolving architectural decisions and project-specific coding standards
Maintaining a persistent log of developer preferences and local environment settings
Generating automated summaries of complex work sessions for easy project handovers

About

Key Features

Automated classification into preferences, summaries, or long-term logs
Proactive memory capture triggered by new preferences or decisions
Self-maintaining conversation history with chronological summaries
3 GitHub stars
Structured recording of architectural milestones and technical debt
Local file management based on configurable memory settings

Use Cases

Tracking evolving architectural decisions and project-specific coding standards
Maintaining a persistent log of developer preferences and local environment settings
Generating automated summaries of complex work sessions for easy project handovers