memory-query

Query past conversations with tiered retrieval and explainable results.

14|3|Updated Jan 29, 2026
One-click install
npx skills add https://github.com/SpillwaveSolutions/agent-memory --skill memory-query
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: memory-query
Source: https://github.com/SpillwaveSolutions/agent-memory/tree/main/plugins/memory-query-plugin/skills/memory-query
Command: npx skills add https://github.com/SpillwaveSolutions/agent-memory --skill memory-query

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables querying past conversations stored in the agent-memory system to surface historical context, decisions, and insights across sessions, reducing the effort to reassemble context.

Core Features & Use Cases

  • Tier-aware retrieval with automatic fallbacks and query intent routing for robust answers.
  • Time-bounded and context-aware search that surfaces relevant past discussions and sessions.
  • Explainable results that include the tier used, selected paths, and grip-based excerpts to justify retrieval.

Quick Start

Use memory-query to fetch relevant history with simple prompts like "What did we discuss about X?" or "Show conversations from last week." Example:

  • /memory-search <topic>
  • /memory-recent --days 7
  • /memory-context grip:grip:1706540400000:01HN4QXKN6YWXVKZ3JMHP4BCDE

Frequently Asked Questions about memory-query

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

FAQPage Schema
How do I search past conversations to retrieve historical context from previous sessions?

To search past conversations and retrieve historical context, query the agent-memory system using simple prompts like "What did we discuss about X?" or commands such as /memory-search <topic> to surface relevant past discussions and decisions.

How does explainable retrieval work when querying conversation history?

Explainable retrieval works by applying tiered retrieval with automatic fallbacks and intent-based routing, returning results that include the tier used, selected paths, and grip-based excerpts to justify the historical context surfaced.

Can I run time-bounded queries to recall conversations from a specific date range?

Yes, you can run time-bounded queries to recall conversations from specific periods using commands like /memory-recent --days 7 to fetch context-aware historical discussions and sessions within that defined timeframe.

Do I need a memory-daemon service to use conversation search and retrieval?

Yes, you need a running memory-daemon service to use conversation search and retrieval, as the system queries stored historical context through grip-based excerpts and TOC navigation supported by this background service.

What is the best way to navigate large conversation histories without losing context?

The best way to navigate large conversation histories is using grip-based excerpts and TOC navigation, which outputs structured bullets with grip identifiers to surface relevant past discussions and reduce context reassembly effort.

What are the limitations of using intent-based routing for memory search?

Limitations of intent-based routing for memory search include dependency on automatic fallbacks across tiered retrieval, which requires a running memory-daemon service to successfully route time-bounded queries and return explainable results.