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slm-recall

Official

Recall memories with semantic precision.

Software Engineering#recall#memory#local#knowledge-graph#semantic-search#full-text
Authorqualixar
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Finding and surfacing past decisions, conversations, and notes across many projects can be slow and error-prone. This Skill combines semantic similarity, knowledge graph traversal, and full-text search to retrieve relevant memories quickly and accurately.

Core Features & Use Cases

  • Semantic recall across memories using contextual similarity to surface conceptually related items.
  • Knowledge-graph-aware traversal to expose connections between memories, decisions, and entities.
  • Full-text search over stored memories and notes with ranking by relevance and recency.
  • Use Case: recall a past decision about API design, locate related conversations, and reconstruct the decision rationale.

Quick Start

Ask the AI to recall memories related to a topic or project.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: slm-recall
Download link: https://github.com/qualixar/superlocalmemory/archive/main.zip#slm-recall

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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