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.