When does the skill save information to memory?

The protocol triggers a save immediately after a major decision, bugfix, discovery of a new pattern, or change in user preference.

How does this skill improve AI coding performance?

By logging the 'Why' and 'How' behind decisions, the skill prevents Claude from repeating past mistakes and allows it to recall complex project context instantly.

Can Claude search through my previous sessions?

Yes, the skill uses proactive search rules to scan historical memory whenever you reference a project feature, problem, or specific file.

What is the Engram Memory Protocol?

It is a specialized skill that allows Claude to use the Engram persistent memory system to store and retrieve project-specific knowledge, decisions, and patterns.

What happens during a session summary?

Before closing, the skill generates a detailed summary of goals, discoveries, and next steps, ensuring the next session starts with full context.

Engram Memory Protocol

Name: Engram Memory Protocol
Author: Gentleman-Programming

byGentleman-Programming

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1,850

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Productivity & Workflow

Manages persistent context and decision logs to provide AI coding agents with long-term memory and project awareness.

The Engram Memory Protocol skill implements a disciplined persistence layer for Claude, ensuring that critical architectural decisions, bugfixes, and discoveries are never lost between sessions. By utilizing the Engram system—a Go-based SQLite backend with full-text search—this skill enables Claude to proactively search previous work, summarize active sessions, and maintain a structured log of what was learned and why specific changes were made. It is essential for complex, long-running projects where maintaining context across multiple sessions is critical for consistency and technical accuracy.

Key Features

01Persistent session summarization and context recovery across restarts.

02Proactive full-text search (FTS5) of historical project context on every new request.

03Structured memory saving for decisions, bugfixes, and pattern discoveries.

041,850 GitHub stars

05Automated session closure summaries detailing accomplished goals and next steps.

06Topic-based organization using stable keys for evolving project knowledge.

Use Cases

01Maintaining continuity across multi-day coding tasks and session interruptions.

02Instantly retrieving project-specific patterns and user preferences in new sessions.

03Documenting non-obvious bugfixes and architectural trade-offs for future AI reference.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add gentleman-programming/engram memory-protocol

For use in Claude.ai and ChatGPT

Key Features

01Persistent session summarization and context recovery across restarts.

02Proactive full-text search (FTS5) of historical project context on every new request.

03Structured memory saving for decisions, bugfixes, and pattern discoveries.

041,850 GitHub stars

05Automated session closure summaries detailing accomplished goals and next steps.

06Topic-based organization using stable keys for evolving project knowledge.

Use Cases

01Maintaining continuity across multi-day coding tasks and session interruptions.

02Instantly retrieving project-specific patterns and user preferences in new sessions.

03Documenting non-obvious bugfixes and architectural trade-offs for future AI reference.