Does this skill work across different terminal sessions?

Yes, the primary purpose of this skill is to provide a persistent memory store that lives outside of a single session's context window.

Can I search memories using natural language?

Yes, the recall feature uses semantic matching. Natural language queries work best because the system looks for conceptual similarity rather than just exact keyword matches.

What is the benefit of using GraphRAG for AI memory?

GraphRAG allows for structured, relationship-aware retrieval. Unlike simple vector search, it understands how different memories relate to each other, providing more contextually accurate information.

How do I store a specific event or observation?

Use the 'store_episode' action. This feature includes temporal tracking and graph relationships specifically designed for tracking sequences of events or system insights.

Nexus GraphRAG Memory Management

Name: Nexus GraphRAG Memory Management
Author: adverant

byadverant

0•

生产力与工作流

Manages persistent context and episodic memories using GraphRAG to recall critical information across multiple Claude sessions.

This skill empowers Claude with a sophisticated long-term memory system powered by Nexus GraphRAG, enabling the storage and retrieval of complex information with semantic precision. By moving beyond temporary session context, it allows for the persistent tracking of project decisions, user preferences, and temporal event sequences. It is particularly useful for developers managing long-term projects who need the AI to maintain a consistent understanding of a codebase's history, architectural choices, and evolving requirements without manual re-contextualization.

主要功能

010 GitHub stars

02Persistent memory storage for cross-session knowledge retention

03Tag-based categorization and metadata support for organized retrieval

04Episodic event tracking for temporal sequences and debugging history

05Knowledge graph integration for mapping complex data relationships

06Semantic recall using vector-based similarity matching

使用场景

01Tracking a sequence of events or system observations for complex troubleshooting and analysis

02Recalling specific user preferences and interaction history from previous workspace sessions

03Maintaining architectural decisions and coding standards across long-term development cycles

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add adverant/adverant-nexus-cowork-plugin memory-management

For use in Claude.ai and ChatGPT

主要功能

010 GitHub stars

02Persistent memory storage for cross-session knowledge retention

03Tag-based categorization and metadata support for organized retrieval

04Episodic event tracking for temporal sequences and debugging history

05Knowledge graph integration for mapping complex data relationships

06Semantic recall using vector-based similarity matching

使用场景

01Tracking a sequence of events or system observations for complex troubleshooting and analysis

02Recalling specific user preferences and interaction history from previous workspace sessions

03Maintaining architectural decisions and coding standards across long-term development cycles

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add adverant/adverant-nexus-cowork-plugin memory-management

For use in Claude.ai and ChatGPT