vector-search

Semantic vector search for agent-memory. Use when asked to "find similar discussions", "semantic search", "find related topics", "what's conceptually related to X", or when keyword search returns poor results. Provides vector similarity search and hybrid BM25+vector fusion.

Jump to install Review files

Repository: SpillwaveSolutions/agent-memory
Last source activity: March 6, 2026 at 00:16
Detected SKILL.md language: English
Stars: 16
Forks: 3

Install options

The review-first prompt is selected by default. You can switch to a direct command or download a local copy.

Install with an AI assistant

Copy this prompt into the AI assistant you're using.

Follow https://skillsmp.com/skill-install/prompt.md to install only the Agent Skill at https://github.com/SpillwaveSolutions/agent-memory/tree/main/adapters/codex-cli/.codex/skills/vector-search.

A direct command skips the review prompt. Inspect the source before running it.

npx skills add https://github.com/SpillwaveSolutions/agent-memory --skill vector-search

The command stays on one line. Scroll horizontally to inspect it before copying.

Prefer a local copy? Download the files currently available to SkillsMP.

Review the source files

Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.

File Explorer

2 files

SKILL.md

Source instructions · Read-only preview

name	vector-search
description	Semantic vector search for agent-memory. Use when asked to "find similar discussions", "semantic search", "find related topics", "what's conceptually related to X", or when keyword search returns poor results. Provides vector similarity search and hybrid BM25+vector fusion.

Back to search Back to installation

bm25-search

BM25 keyword search for agent-memory. Use when asked to "find exact terms", "keyword search", "search for specific function names", "locate exact phrase", or when semantic search returns too many results. Provides fast BM25 full-text search via Tantivy index.

2026-03-06

memory-query

Query past conversations from the agent-memory system. Use when asked to "recall what we discussed", "search conversation history", "find previous session", "what did we talk about last week", or "get context from earlier". Provides tier-aware retrieval with automatic fallback chains, intent-based routing, and full explainability. Includes command-equivalent instructions for search, recent, and context operations.

2026-03-06

retrieval-policy

Agent retrieval policy for intelligent memory search. Use when implementing memory queries to detect capabilities, classify intent, route through optimal layers, and handle fallbacks. Provides tier detection, intent classification, fallback chains, and full explainability for all retrieval operations.

2026-03-06

View all from this repository

vector-search

Source facts

Install options

Install with an AI assistant

Review the source files

More from this repository

Install with an AI assistant

More from this repository