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memory-query

Query Emergent project knowledge bases via natural language or hybrid search.

1|Updated Feb 6, 2026
Search Tags:#cli#search#knowledge base#query#natural language#emergent
One-click install
npx skills add https://github.com/emergent-company/emergent.memory --skill memory-query-emergent-company
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: memory-query
Source: https://github.com/emergent-company/emergent.memory/tree/main/tools/cli/internal/skillsfs/skills/memory-query
Command: npx skills add https://github.com/emergent-company/emergent.memory --skill memory-query-emergent-company

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill allows users to search and query an Emergent project's knowledge base using natural language or direct hybrid search, making it easy to find information and ask complex questions.

Core Features & Use Cases

  • Natural Language Querying: Ask questions in plain English and get answers derived from the knowledge graph.
  • Hybrid Search: Perform fast, targeted searches combining semantic and keyword matching.
  • Use Case: Ask "What are the key relationships between the authentication module and the user profile service?" to understand system architecture, or search for "API rate limiting implementation details" to find specific documentation.

Quick Start

Query the knowledge base for information about user authentication.

Frequently Asked Questions about memory-query

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

FAQPage Schema
How do I search my project knowledge base using natural language queries?▼

You can search a project knowledge base by asking questions in plain English, which an AI agent processes to derive answers directly from the knowledge graph for complex, multi-hop inquiries.

Can I perform a direct keyword and semantic search on my project documentation?▼

Yes, you can perform hybrid search combining semantic and lexical matching to execute fast, targeted content retrieval across your project knowledge base without relying solely on AI agents.

Do I need a project ID to query an Emergent knowledge base?▼

Yes, specifying a project ID is required to scope your queries, ensuring the natural language or hybrid search only retrieves information from the correct project knowledge base.

How do I get machine-readable JSON output from a knowledge base query?▼

You can retrieve JSON output from a knowledge base query by executing a hybrid or natural language search, which formats the resulting content retrieval for direct machine readability.

What is the best way to find relationships between modules in a project knowledge base?▼

The best way to find relationships is using natural language querying to ask complex questions about system architecture, allowing an AI agent to traverse the knowledge graph and explain the connections.

Does hybrid search support multi-hop questions across the knowledge graph?▼

Hybrid search handles direct content retrieval through semantic and lexical matching, while complex, multi-hop questions across the knowledge graph are processed by the integrated AI agent.

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