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mem-search

Search persistent cross-session memory for past problem-solving and actions.

1|Updated Jul 22, 2025
Search Tags:#context#search#knowledge base#retrieval#memory#past sessions
One-click install
npx skills add https://github.com/JerryGanst/qiduandebug --skill mem-search-jerryganst
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mem-search
Source: https://github.com/JerryGanst/qiduandebug/tree/main/plugin/skills/mem-search
Command: npx skills add https://github.com/JerryGanst/qiduandebug --skill mem-search-jerryganst

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill allows users to search and retrieve information from Claude-Mem's persistent memory database, enabling them to recall and utilize knowledge from previous sessions.

Core Features & Use Cases

  • Cross-Session Memory Search: Find information discussed or actions taken in past conversations.
  • Contextual Retrieval: Understand the history and evolution of a problem or task by retrieving related entries chronologically.
  • Efficient Data Fetching: Filter results before fetching full details to save tokens and time.
  • Use Case: A user asks, "Did we already solve the authentication bug last week?" This Skill can search for "authentication bug" and retrieve the relevant observations from previous sessions.

Quick Start

Search for past discussions about 'authentication'.

Frequently Asked Questions about mem-search

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

FAQPage Schema
How do I search past conversation sessions for specific context?▼

You can search past conversation sessions by querying a persistent cross-session memory database. This Skill retrieves historical problem-solving actions and previous observations by matching your search terms against stored index IDs.

What is the best way to retrieve historical context from a knowledge base without wasting tokens?▼

The best way to retrieve historical context while saving tokens uses a 3-layer workflow. It searches index IDs first, checks the timeline for contextual data, and fetches full observations only when needed to optimize token usage.

Can I find information about previous actions taken across different chat sessions?▼

Yes, you can find information about previous actions taken across different chat sessions. This Skill specifically searches and retrieves knowledge from a persistent memory database spanning multiple distinct conversation sessions.

How does cross-session memory retrieval work when looking up past problem-solving?▼

Cross-session memory retrieval works by querying a persistent database for past problem-solving entries chronologically. It uses a 3-layer workflow to search index IDs, retrieve timeline data for context, and get full observations for complete details.

Do I need a persistent memory database to search past sessions?▼

Yes, you need a persistent memory database to search past sessions. This Skill functions by querying an existing knowledge base to retrieve historical context, previous actions, and past problem-solving observations from stored data.

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