# aister-vector-memory

> aister-vector-memory — alekhm-aister-vector-memory. Use this tool when you need to efficiently search and retrieve information based on semantic meaning, rather than exact keyword matches. It solves problems of knowledge retrieval and information discovery by allowing users to query a vector memory database using natural language inputs, returning relevant results as outputs. Ideal for use cases where traditional grep-based search methods are insufficient, such as question answering, text similarity search, and entity disambiguation.

Canonical page: https://skillsregistry.net/skills/alekhm-aister-vector-memory  
JSON: https://api.skillsregistry.net/v1/skills/alekhm-aister-vector-memory

## Description

Vector memory for Aister — search by meaning, not by grep!

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-21

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-13

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/alekhm-aister-vector-memory)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alekhm-aister-vector-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alekhm-aister-vector-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alekhm-aister-vector-memory/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt