# turbo_quant_memory

> turbo_quant_memory — lexus2016-turbo-quant-memory. Use this tool when you need to efficiently manage and retrieve code memory for AI coding agents, solving problems of slow memory access and version control. It provides compact retrieval and supports project and global scopes, accepting git inputs and outputting optimized memory storage. Ideal for use cases requiring fast and reliable code memory management in local-first environments.

Canonical page: https://skillsregistry.net/skills/lexus2016-turbo-quant-memory  
JSON: https://api.skillsregistry.net/v1/skills/lexus2016-turbo-quant-memory

## Description

Local-first MCP memory server for AI coding agents with compact retrieval and project/global scopes.

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Lexus2016/turbo_quant_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": "lexus2016-turbo-quant-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lexus2016-turbo-quant-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lexus2016-turbo-quant-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