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recall-conversations

Search and retrieve past conversation sessions using keyword-based full-text search.

270|16|Updated Feb 3, 2026
Search Tags:#context#recall#search#retrieval#memory#conversation history
One-click install
npx skills add https://github.com/gupsammy/Claudest --skill recall-conversations
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: recall-conversations
Source: https://github.com/gupsammy/Claudest/tree/main/plugins/claude-memory/skills/recall-conversations
Command: npx skills add https://github.com/gupsammy/Claudest --skill recall-conversations

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you quickly find and retrieve information from past conversations, overcoming the limitations of short-term memory in AI interactions.

Core Features & Use Cases

  • Recall Past Discussions: Easily search conversation history by keywords to find specific decisions, topics, or outcomes.
  • Contextual Continuity: Re-establish the context of previous work sessions to seamlessly continue tasks.
  • Use Case: Ask "What did we decide about the API design last week?" and the skill will search your conversation history to provide the relevant details.

Quick Start

Use the recall-conversations skill to search your conversations for the term "API design".

Frequently Asked Questions about recall-conversations

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

FAQPage Schema
How do I search and recall past conversation history in AI interactions?▼

To search conversation history, use keyword-based full-text search to retrieve specific past decisions or topics. This restores context and overcomes short-term memory limits in AI interactions.

How does full-text search work for retrieving past conversation sessions?▼

Full-text search leverages SQLite with FTS5 or FTS4 to efficiently index and retrieve past conversation sessions. It matches keywords against stored session data for fast context recall.

Can I restore context from previous work sessions to continue tasks?▼

Yes, you can re-establish contextual continuity by retrieving recent conversation sessions. This allows you to seamlessly continue tasks and reference historical data analysis.

Does this conversation retrieval method require Python or specific databases?▼

It requires Python standard library for data processing and SQLite with FTS5/FTS4 for the database. No external dependencies are needed to perform keyword-based conversation search.

What is the best way to find specific decisions from last week's API design discussion?▼

The best way to find past decisions is to search your conversation history by keywords like "API design". The skill queries historical data to provide the relevant details from that session.

What are the limitations of using keyword-based search for conversation memory?▼

Keyword-based search relies on exact term matches within the SQLite database, meaning it may not retrieve context if the exact keywords were not used in the original conversation history.

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