What problem does it solve? AI memory frameworks, vector databases, and pricing change constantly, so an architecture decision made months ago may already be outdated. This Skill re-researches the current landscape, compares it against your existing memory architecture doc, and tells you whether your choices still hold. ## Core Features & Use Cases - Landscape Re-research: Searches changelogs, release notes, and benchmarks for every framework in your architecture doc, plus new entrants that did not exist when it was written. - Implementation Gap Analysis: Compares what the architecture doc specifies against the actual code in src/memory/ or app/memory/ and flags divergences. - Verdict Report: Writes a dated audit report with a HOLD, MINOR UPDATE, or REDESIGN verdict, cost estimate updates, and copy-pasteable upgrade commands. - Use Case: Three months after designing your support bot's memory stack with Mem0 and pgvector, run an audit to discover Mem0 shipped a breaking API change and a new framework now beats your benchmark claims. ## Quick Start Type /memory-audit in your AI assistant to re-research the memory landscape and audit your existing architecture doc.
