What is the Memory skill for Claude Code?

The Memory skill is a specialized capability for Claude Code that allows the AI to store, search, and retrieve long-term context, architectural decisions, and project patterns using a knowledge graph.

Does this skill require an external API?

Basic functionality works locally using a knowledge graph, but advanced features like cloud synchronization and global semantic search require a Mem0 API key.

How do I visualize my project's knowledge graph?

You can use the command `/ork:memory viz` to generate a Mermaid diagram that illustrates the relationships between your project's technologies, decisions, and patterns.

Can I search for decisions made in other projects?

Yes, by using the `--global` flag with the search command, you can query cross-project best practices and shared organizational knowledge.

How does this help when starting a new Claude session?

The `/ork:memory load` command automatically injects relevant past decisions and active project context into the current session, ensuring Claude doesn't repeat mistakes or lose track of ongoing work.

Memory & Context Manager

Name: Memory & Context Manager
Author: yonatangross

byyonatangross

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生産性とワークフロー

Manages and retrieves session context, architectural decisions, and knowledge graph data for seamless AI development.

The Memory skill provides a unified interface for Claude to access its long-term memory, enabling it to recall past architectural decisions, search project patterns, and synchronize context across sessions. By integrating local knowledge graphs with cloud-based semantic search via Mem0, it ensures that developers never lose track of project history or established best practices. This skill is essential for maintaining consistency in large-scale projects, allowing Claude to understand the 'why' behind the code and providing a visual map of the project's evolving architecture.

主な機能

0169 GitHub stars

02Cross-project best practice sharing using global search flags

03Automated session context loading for seamless project resumption

04Visual knowledge graph generation using Mermaid diagrams

05Decision history timeline tracking to monitor architectural evolution

06Semantic Search across local knowledge graphs and Mem0 cloud

ユースケース

01Retrieving the rationale behind past architectural decisions to maintain project consistency

02Resuming complex development tasks with full context of previous investigations and findings

03Visualizing dependencies and relationships between technologies and patterns within a codebase

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yonatangross/orchestkit memory

For use in Claude.ai and ChatGPT