# slowave

> slowave — slowave-ai-slowave. Use this tool when you need to enhance your AI tools with a local memory layer, enabling them to store and retrieve information efficiently. Slowave solves problems related to data persistence and retrieval, providing a seamless interface for inputs such as git data and outputs like cached knowledge. It is ideal for use cases where AI tools require access to historical data or need to learn from previous interactions.

Canonical page: https://skillsregistry.net/skills/slowave-ai-slowave  
JSON: https://api.skillsregistry.net/v1/skills/slowave-ai-slowave

## Description

A living local memory layer for your AI tools.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-24

## Source

- **Source listing:** [GitHub](https://github.com/slowave-ai/slowave)

## 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": "slowave-ai-slowave"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/slowave-ai-slowave` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/slowave-ai-slowave/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