What is the tripartite memory system used by ww-recall?

It consists of Episodic memory (past events), Semantic memory (knowledge concepts and entities), and Procedural memory (skills and patterns) to provide a 360-degree context for the AI.

Can I filter memories by specific dates or timeframes?

Yes, the skill includes temporal search strategies and point-in-time queries to find exactly what was happening or what the AI knew during a specific period.

How does spread activation benefit memory retrieval?

Spread activation traverses the knowledge graph from a seed entity to find related concepts, helping the AI discover relevant connections that a simple keyword search might miss.

What is the difference between semantic search and skill matching?

Semantic search finds similar text or experiences, while skill matching specifically looks for executable procedures and verified 'how-to' patterns that have been successful in the past.

World Weaver Memory Recall

Name: World Weaver Memory Recall
Author: astoreyai

byastoreyai

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生产力与工作流

Retrieves contextually relevant memories across episodic, semantic, and procedural domains using multi-strategy search.

World Weaver Recall is a specialized capability for Claude Code that enables sophisticated memory retrieval from a tripartite system. By integrating episodic experiences, semantic knowledge graphs, and procedural skills, it allows Claude to maintain long-term context across sessions. It supports advanced strategies like spread activation and point-in-time queries, ensuring that the AI can remember past project decisions, technical concepts, and successful workflow patterns to provide highly personalized and informed assistance for complex development tasks.

主要功能

01Knowledge graph exploration via spread activation for entity relationships

02Temporal and point-in-time queries for historical context retrieval

031 GitHub stars

04Skill matching to identify and reuse successful past procedures

05Multi-strategy retrieval covering episodic, semantic, and procedural memory

06Advanced ranking based on semantic similarity, recency, and outcome success

使用场景

01Restoring context from previous coding sessions or specific project milestones

02Retrieving previously documented procedures to solve recurring development challenges

03Exploring relationships between technical entities within a project's knowledge graph

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add astoreyai/claude-skills ww-recall

For use in Claude.ai and ChatGPT

Download Skill