Agent skill · AI & Agents

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.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
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.

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/ai-ml/vector-memory-cablate-ai-toolkit/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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

What's inside
Steps it walks through
  1. References
  2. When to Store
  3. When NOT to Store
  4. Memory Hygiene
  5. Mandatory Trigger Points
  6. Recall Before Retry
  7. Dual-Layer Storage (Lessons)
  8. Category Reference
  9. Importance Scale
  10. Confidence-Based Tiering
  11. Scopes
  12. Quick Reference
  13. Store
  14. Recall
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
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.

Keep going