V3 Memory Unification

If you're dealing with multiple memory backends scattered across SQLite, Markdown files, and various manager classes, this consolidates them into a single AgentDB layer with HNSW vector indexing. The performance claims are aggressive (150x to 12,500x faster search), but the architecture is sound: unified interface, proper migration tooling, and semantic search that actually works at scale. Most useful when you've got agent systems that need to share memory across instances or when your existing search is choking on large datasets. The SONA learning integration is a nice touch for adaptive agents. Migration looks straightforward with clear phases, though you'll want to validate those speedup numbers against your actual data before committing.

Install to Claude Code

npx -y skills add spencermarx/open-code-review --skill "V3 Memory Unification" --agent claude-code