Memory Search

Published by ruvnet in ruflo

No known issues750 installs

What this skill does

SOTA semantic search — hybrid (sparse+dense), Graph RAG multi-hop, MMR diversity reranking, recency weighting

Add Memory Search to your agent

Review the source and files first. When you are ready, copy the prompt instruction or use the CLI command supported by your environment.

Install with a prompt

Paste this into a compatible coding agent:

add this skill "memory-search" from https://github.com/ruvnet/ruflo

Install with the CLI

Run this command in a controlled environment after reviewing the repository:

npx skills add https://github.com/ruvnet/ruflo --skill memory-search

Skill instructions

Memory Search (SOTA)

State-of-the-art semantic search across Ruflo memory with multiple retrieval strategies.

Strategy Selection

Choose based on query type:

Default (dense): fast single-hop semantic match
--hybrid: sparse + dense with RRF fusion (20-49% better for keyword+semantic queries)
--graph-rag: multi-hop knowledge retrieval (30-60% better for reasoning queries)

Steps

Parse query and flags — extract search text and strategy flags from arguments
Select retrieval strategy:

Dense search (default):
```
npx @claude-flow/cli@latest memory search --query "QUERY" --namespace NAMESPACE --limit 10
```
Or via MCP: mcp__plugin_ruflo-core_ruflo__memory_search({ query: "QUERY", namespace: "NAMESPACE", limit: 10 })

Hybrid search (when --hybrid or query has specific keywords):
```
npx ruvector search "QUERY" --hybrid --limit 10
```
Graph RAG (when --graph-rag or multi-hop reasoning needed):
```
npx ruvector search "QUERY" --graph-rag --limit 10
```
Smart retrieval (when --smart or complex recall needed):
```
npx @claude-flow/cli@latest memory search --query "QUERY" --smart --limit 10
```
Or via MCP: mcp__plugin_ruflo-core_ruflo__memory_search({ query: "QUERY", smart: true, limit: 10 })

Applies 5-phase pipeline: query expansion, RRF fusion, recency boost, MMR diversity, session round-robin. Best for: multi-session recall, temporal queries, diverse result sets.

Unified cross-namespace: mcp__plugin_ruflo-core_ruflo__memory_search_unified({ query: "QUERY", limit: 10 })
Apply MMR reranking — for diverse results, filter near-duplicates (cosine > 0.92) while maximizing relevance
Apply recency weighting — boost recent entries with exponential decay (0.95/day)
Synthesize context (for complex queries): mcp__plugin_ruflo-core_ruflo__agentdb_context-synthesize({ query: "QUERY", sources: ["patterns", "tasks", "solutions"] })
Present results — ranked by composite score (relevance * diversity * recency), with source namespace attribution

Namespace Guide

Namespace	Best For
`patterns`	"How did we handle X?"
`tasks`	"What was the context for Y?"
`solutions`	"How did we fix Z?"
`feedback`	"What did the user prefer?"
`security`	"Known vulnerabilities in..."
(omit)	Search all namespaces

Files included

SKILL.md