git:20260507.8dfdcb4 to git:20260507.9f5be95

---

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]

skillAreas: [skill-area:agentic-loops, skill-area:orchestration-loop]

workflows: [workflow:feature-development]

topics: [topic:developer-experience]

roles: [role:tech-lead, role:backend-engineer]

- 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`