# search-memory

> search-memory — trumppo-search-memory. Use this tool when you need to efficiently search and index local data in Openclaw, solving problems of data discovery and retrieval. It provides a local-first approach to memory search, allowing for fast and reliable querying of stored information. With inputs of local data and query parameters, it outputs relevant search results, making it ideal for use cases requiring rapid data access and retrieval.

Canonical page: https://skillsregistry.net/skills/trumppo-search-memory  
JSON: https://api.skillsregistry.net/v1/skills/trumppo-search-memory

## Description

Local-first memory search and indexing for Openclaw.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** search
- **Updated:** 2026-09-26

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/trumppo-search-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": "trumppo-search-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/trumppo-search-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/trumppo-search-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