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recall

Search Vestige's cognitive memory system using natural language queries.

4|Updated Jan 23, 2026
Search Tags:#knowledge retrieval#recall#search#memory#information access#vestige
One-click install
npx skills add https://github.com/alphaleonis/decaf-claude-config --skill recall-alphaleonis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: recall
Source: https://github.com/alphaleonis/decaf-claude-config/tree/main/decaf-memory/skills/recall
Command: npx skills add https://github.com/alphaleonis/decaf-claude-config --skill recall-alphaleonis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you quickly find and retrieve previously stored information from your Vestige memory system, preventing knowledge loss and aiding recall.

Core Features & Use Cases

  • Semantic Search: Search your memories using natural language queries.
  • Information Retrieval: Access facts, patterns, decisions, and events stored in Vestige.
  • Use Case: If you're working on a feature and can't remember a specific design decision made months ago, you can use /decaf-memory:recall "design decision for user authentication" to find relevant stored memories.

Quick Start

Search Vestige for memories related to HttpClient timeouts.

Frequently Asked Questions about recall

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I search my Vestige memory system for past design decisions?▼

To search Vestige memory, use natural language queries to retrieve stored facts, patterns, decisions, and events. This semantic search prevents knowledge loss by recalling previously stored information using the `mcp__vestige__search` tool.

Can I retrieve stored events from Vestige using natural language?▼

Yes, you can retrieve stored events from Vestige using natural language queries. The recall Skill searches the cognitive memory database to retrieve facts, patterns, decisions, and events by applying semantic search to your query.

What is the best way to access stored patterns in a cognitive memory system?▼

The best way to access stored patterns in a cognitive memory system is using semantic search with natural language queries. The Vestige search tool queries the memory database with specified limits and detail levels to retrieve relevant knowledge.

Do I need the Vestige search tool to retrieve memories?▼

Yes, retrieving Vestige memories requires the `mcp__vestige__search` tool to query the cognitive memory database. This dependency allows you to apply natural language queries to access stored facts, patterns, decisions, and events.

How do I limit the detail level of information retrieved from Vestige memory?▼

To limit the detail level of retrieved Vestige memory information, specify the limits and detail levels parameters when querying the memory database. The `mcp__vestige__search` tool accepts these configurations to control search results.

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