vector-memory ยท diff
git:20260325.a6b3a88 to git:20260507.56f011d
50 added, 47 removed. Audit A to A.
- ---
- name: vector-memory
- description: HNSW vector search for pattern similarity retrieval and knowledge graph maintenance with PageRank scoring, community detection, and 3-tier memory management.
- allowed-tools: Read, Write, Edit, Bash, Grep, Glob, WebFetch, WebSearch, Agent, AskUserQuestion
- ---
-
- # Vector Memory
-
- ## Overview
-
- High-performance vector search using HNSW (Hierarchical Navigable Small World) graphs for pattern storage and retrieval, combined with a knowledge graph for relational reasoning.
-
- ## When to Use
-
- - Retrieving similar patterns from execution history
- - Building and querying knowledge graphs for project context
- - Managing cross-session memory across project/local/user scopes
- - Fast similarity search for routing decisions
-
- ## HNSW Performance
-
- - Search latency: ~61 microseconds
- - Query throughput: ~16,400 QPS
- - Configurable embedding dimensions (default: 128)
-
- ## Knowledge Graph
-
- - **PageRank**: Importance scoring for knowledge nodes
- - **Community Detection**: Cluster related patterns
- - **LRU Cache**: Fast access to frequently used patterns
- - **SQLite Backing**: Persistent cross-session storage
-
- ## 3-Tier Memory
-
- | Scope | Persistence | Content |
- |-------|------------|---------|
- | Project | Codebase-level | Patterns, architecture decisions, dependencies |
- | Local | Session-level | Context, adaptations, temporary patterns |
- | User | Cross-project | Preferences, learned behaviors, global patterns |
-
- ## Agents Used
-
- - `agents/optimizer/` - Memory and cache optimization
-
- ## Tool Use
-
- Invoke via babysitter process: `methodologies/ruflo/ruflo-intelligence`
+ ---
+ name: vector-memory
+ description: HNSW vector search for pattern similarity retrieval and knowledge graph maintenance with PageRank scoring, community detection, and 3-tier memory management.
+ allowed-tools: Read, Write, Edit, Bash, Grep, Glob, WebFetch, WebSearch, Agent, AskUserQuestion
+ graph:
+ domains: [domain:software-engineering]
+
+ ---
+
+ # Vector Memory
+
+ ## Overview
+
+ High-performance vector search using HNSW (Hierarchical Navigable Small World) graphs for pattern storage and retrieval, combined with a knowledge graph for relational reasoning.
+
+ ## When to Use
+
+ - Retrieving similar patterns from execution history
+ - Building and querying knowledge graphs for project context
+ - Managing cross-session memory across project/local/user scopes
+ - Fast similarity search for routing decisions
+
+ ## HNSW Performance
+
+ - Search latency: ~61 microseconds
+ - Query throughput: ~16,400 QPS
+ - Configurable embedding dimensions (default: 128)
+
+ ## Knowledge Graph
+
+ - **PageRank**: Importance scoring for knowledge nodes
+ - **Community Detection**: Cluster related patterns
+ - **LRU Cache**: Fast access to frequently used patterns
+ - **SQLite Backing**: Persistent cross-session storage
+
+ ## 3-Tier Memory
+
+ | Scope | Persistence | Content |
+ |-------|------------|---------|
+ | Project | Codebase-level | Patterns, architecture decisions, dependencies |
+ | Local | Session-level | Context, adaptations, temporary patterns |
+ | User | Cross-project | Preferences, learned behaviors, global patterns |
+
+ ## Agents Used
+
+ - `agents/optimizer/` - Memory and cache optimization
+
+ ## Tool Use
+
+ Invoke via babysitter process: `methodologies/ruflo/ruflo-intelligence`