# memo-persistent-memory

> Use this tool when you need to automatically capture and retain context for later retrieval, or when faced with information overload and require semantic search capabilities to quickly find relevant data. It solves problems of knowledge loss and difficult information retrieval by providing a persistent memory system. The tool accepts unstructured data as input and outputs relevant search results, making it ideal for use cases involving complex data analysis or research.

Canonical page: https://skillsregistry.net/skills/webdevtodayjason-memo-persistent-memory  
JSON: https://api.skillsregistry.net/v1/skills/webdevtodayjason-memo-persistent-memory

## Description

Persistent memory system - automatic context capture and semantic search.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** search
- **Updated:** 2026-08-23

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/webdevtodayjason-memo-persistent-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": "webdevtodayjason-memo-persistent-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/webdevtodayjason-memo-persistent-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/webdevtodayjason-memo-persistent-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