vector-memory
Persistent vector memory for Claude Code via LanceDB. Use when: remembering across sessions, storing lessons, recalling past decisions, maintaining context continuity. Tools: memory_store, memory_recall, memory_update, memory_forget, memory_merge.
npx skills add majiayu000/claude-skill-registry --skill vector-memory-cablate-ai-toolkit --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Vector Memory Long-term memory that persists across sessions. Store facts, decisions, lessons, preferences — recall them later via semantic search. Vector memory is a **retrieval layer**, not a source of truth. Files and code are the source of truth; vector memory helps you find relevant context fast. ## References - [tools-reference.md](references/tools-reference.md) — All MCP tools with full parameter docs - [retrieval-internals.md](references/retrieval-internals.md) — Hybrid pipeline, Weibull decay model (load when debugging retrieval) --- ## When to Store | Signal | Category | Example | |--------|----------|---------| | User states a preference | `preference` | "I prefer tabs over spaces" | | A fact is established | `fact` | "The API uses OAuth 2.0 with PKCE" | | A decision is made with rationale | `decision` | "Chose PostgreSQL over MongoDB because..." | | A mistake was made and corrected | `lesson` | "CSS not applying → check for syntax errors above" | | An important entity is introduced | `entity` | "Acme Corp is the client, contact: jane@acme.com" | | A reusable technique is learned | `skill` | "Remotion animations use interpolate()" | ### When NOT to Store - Temporary ta
- References
- When to Store
- When NOT to Store
- Memory Hygiene
- Mandatory Trigger Points
- Recall Before Retry
- Dual-Layer Storage (Lessons)
- Category Reference
- Importance Scale
- Confidence-Based Tiering
- Scopes
- Quick Reference
- Store
- Recall
What does the vector-memory skill do?
Persistent vector memory for Claude Code via LanceDB. Use when: remembering across sessions, storing lessons, recalling past decisions, maintaining context continuity. Tools: memory_store, memory_recall, memory_update, memory_forget, memory_merge.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill vector-memory-cablate-ai-toolkit --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
