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V3 Memory Unification

Consolidate fragmented memory backends into a single AgentDB store with HNSW indexing.

Updated Jan 31, 2026
Search Tags:#migration#AgentDB#HNSW#embedding#vector-search#cross-agent#memory-unification
One-click install
npx skills add https://github.com/thewoolleyman/home-tech-infrastructure --skill v3-memory-unification-thewoolleyman
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: V3 Memory Unification
Source: https://github.com/thewoolleyman/home-tech-infrastructure/tree/main/.claude/skills/v3-memory-unification
Command: npx skills add https://github.com/thewoolleyman/home-tech-infrastructure --skill v3-memory-unification-thewoolleyman

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill consolidates disparate memory backends into a single AgentDB-powered backend, enabling consistent memory across agents and fast cross-system retrieval.

Core Features & Use Cases

  • Unified memory backend with HNSW vector indexing for fast semantic search.
  • Data migration utilities to move from legacy backends (SQLiteBackend, MarkdownBackend) into AgentDB.
  • Cross-agent memory sharing and SONA learning integration for collaborative intelligence.

Quick Start

Initialize the unified memory service with AgentDB, configure HNSW indexing, and prepare a migration pipeline to bring existing data into AgentDB. Then verify cross-agent sharing and SONA integration.

Frequently Asked Questions about V3 Memory Unification

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

FAQPage Schema
How do I consolidate fragmented AI agent memory backends into a single store?▼

To unify fragmented memory, consolidate disparate backends like SQLiteBackend and MarkdownBackend into a single AgentDB store using DataMigrator. This enables consistent cross-agent querying and retrieval.

What is HNSW indexing for vector search in unified memory systems?▼

HNSW indexing is a vector search mechanism applied via HNSWIndexer in the UnifiedMemoryService. It enables fast semantic search across consolidated memory data stored in the AgentDB backend.

Can I migrate existing SQLite memory data into AgentDB?▼

Yes, you can migrate existing SQLite memory data into AgentDB. The skill provides DataMigrator utilities to move legacy data from SQLiteBackend directly into the unified AgentDB store.

Does cross-agent memory sharing work with SONA learning integration?▼

Yes, cross-agent memory sharing works with SONA learning integration. The unified AgentDB backend supports collaborative intelligence by enabling shared querying and learning across distributed AI agents.

When do I need to unify memory systems across distributed agents?▼

You need to unify memory systems when fragmented backends prevent consistent retrieval. Consolidating into AgentDB provides scalable retrieval and cross-agent sharing across distributed memory sources.

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