# Vector Memory MCP

> Use this tool when you need to securely store and manage semantic memory for AI assistants, enabling efficient search and organization of coding experiences and knowledge. It solves problems of data duplication and disorganization, providing a persistent memory solution with features like auto-cleanup and deduplication. The Vector Memory MCP takes in coded experiences and solutions as input, and outputs organized, searchable knowledge, ideal for use cases requiring intelligent information retrieval and management.

Canonical page: https://skillsregistry.net/skills/xsaven-vector-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/xsaven-vector-memory-mcp

## Description

A secure vector-based memory server that provides persistent semantic memory for AI assistants using sqlite-vec and sentence-transformers. It enables semantic search and organization of coding experiences, solutions, and knowledge with features like auto-cleanup and deduplication.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/snsc2vs4nr)
- **Repository:** <https://github.com/Xsaven/vector-memory-mcp>

## 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": "xsaven-vector-memory-mcp"
    }
  }
}
```

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