vellum-memory-v3-migration

Migrates a memory-v2 concept corpus into the section-grain memory-v3 wiki format.

1.2k|166|Updated Feb 7, 2026
One-click install
npx skills add https://github.com/vellum-ai/vellum-assistant --skill vellum-memory-v3-migration
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: vellum-memory-v3-migration
Source: https://github.com/vellum-ai/vellum-assistant/tree/main/skills/vellum-memory-v3-migration
Command: npx skills add https://github.com/vellum-ai/vellum-assistant --skill vellum-memory-v3-migration

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Reorganizing an existing memory-v2 corpus of flat bullet pages into the memory-v3 section-grain wiki format risks silent information loss and retrieval regressions, and doing it live can corrupt an assistant's only copy of its knowledge.

Core Features & Use Cases

  • Loss-proof staging: Snapshots the live corpus, freezes consolidation triggers, and authors all rewrites into a separate staging tree with per-article provenance so nothing is edited live until a verified cutover.
  • Assistant-reviewed authoring: Designs a topical hub taxonomy, fans out cluster-grain authoring through the workflow engine, repairs cross-links, and runs a mandatory mechanical plus semantic loss audit before approval.
  • Retrieval eval gate: Mines real conversation turns, runs blind A/B judging of v2 versus staged retrieval, and blocks cutover unless the eval-tally gate passes.
  • Use Case: When a Vellum assistant's memory/concepts/ directory still holds v2-style flat pages with summary frontmatter, run this migration to reshape them into lead-plus-section articles, prove nothing was lost, and flip memory.v3.live only after the eval gate passes.

Quick Start

Ask the assistant to migrate the memory wiki to the v3 section-grain format and confirm the staging, audit, and eval-gate plan before it begins.

Frequently Asked Questions about vellum-memory-v3-migration

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

FAQPage Schema
How do I migrate a memory-v2 corpus to the memory-v3 wiki format?

Run the migration skill, which snapshots memory/concepts/, freezes consolidation triggers, authors v3 articles into a staging tree, audits for lost content, and cuts over only after a retrieval eval gate passes. The live corpus is never edited until the final step.

What is the difference between memory v2 and memory v3 retrieval?

Memory v3 retrieves at section grain: each article's lead acts as a retrieval card and individual ## sections are independently matchable. Flat v2 pages with bullets and summary frontmatter collapse into one bloated card under v3, which is why reshaping is required.

When should I not run the memory v3 migration?

Skip it when the corpus is already in v3 article shape and memory.v3.live is true, or when memory/concepts/ is empty or near-empty. In the empty case, run the vellum-memory-v2-migration skill first since there is nothing to reorganize.

How does the migration prevent losing memory content?

It works on a read-only snapshot, writes only to a staging tree, and records provenance mapping every staged article to its source pages. A mechanical quote-screen plus a semantic reader panel audit then verify no load-bearing fact was dropped before cutover.

What happens if the retrieval eval gate fails?

Cutover is blocked. The failing turns identify clusters that under-retrieve, typically due to thin leads, over-merged articles, or missing links; you repair the staged articles, re-run the eval on the same pinned turn set, and re-judge until the gate passes.

Can I roll back after cutting over to memory v3?

Yes. The cutover step creates a timestamped backup of memory/concepts/ before deploying. Restore it with rsync, set memory.v3.live back to false, and the restored consolidation triggers resume v2-shape operation on the restored corpus.