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mem-search

Search a persistent cross-session memory database for past work and information.

Updated Aug 27, 2026
Search Tags:#workflow#context#search#retrieval#memory#past sessions
One-click install
npx skills add https://github.com/greatxrider/nomanuAI --skill mem-search-greatxrider
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mem-search
Source: https://github.com/greatxrider/nomanuAI/tree/main/.claude/plugins/claude-mem/9.1.1/skills/mem-search
Command: npx skills add https://github.com/greatxrider/nomanuAI --skill mem-search-greatxrider

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill allows you to efficiently search and retrieve information from past work and conversations, preventing redundant efforts and providing context from previous sessions.

Core Features & Use Cases

  • Cross-Session Memory Search: Find information from previous interactions, not just the current conversation.
  • Contextual Retrieval: Understand how a problem was solved previously or what decisions were made.
  • Use Case: If a user asks, "How did we implement the authentication flow last week?", this Skill can search your memory for relevant past sessions and provide the details.

Quick Start

Search your memory for past work related to "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 session history for previous work and context?▼

To search past session history, query a persistent cross-session memory database to retrieve past work and context. This mechanism prevents redundant efforts by fetching details from previous interactions rather than just the current conversation.

What is the best way to retrieve solutions for problems I encountered in past sessions?▼

Retrieving solutions from past sessions involves searching a cross-session memory database. The system matches your query against historical project decisions and previously encountered problems, providing the exact details of how those issues were resolved.

How does cross-session memory search optimize token usage during information retrieval?▼

Cross-session memory search optimizes token usage by utilizing a 3-layer workflow involving search, timeline context, and detailed observation fetching. This tiered approach retrieves specific historical data efficiently without loading unnecessary context.

Can I recall specific historical project decisions from previous interactions without extra dependencies?▼

Yes, you can recall historical project decisions from previous interactions without extra dependencies. The Skill operates independently to search the persistent memory database and retrieve the specific contextual details of past tasks.

When do I need to search a persistent memory database for past work?▼

You need to search a persistent memory database when you want to understand historical project decisions, recall details of past tasks, or find solutions to previously encountered problems across different sessions to prevent redundant efforts.

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