# forgetmenot

> forgetmenot — iwanro-forgetmenot. Use this tool when you need to provide AI agents with persistent and structured memory, enabling semantic recall and conflict resolution. It solves problems related to data duplication and provenance, offering a reliable storage solution. Ideal for use cases requiring local-first data management with minimal dependencies, it accepts data inputs and outputs recalled information with provenance tracking.

Canonical page: https://skillsregistry.net/skills/iwanro-forgetmenot  
JSON: https://api.skillsregistry.net/v1/skills/iwanro-forgetmenot

## Description

Persistent, structured memory for AI agents. Local-first MCP server in Go: semantic recall, dedupe, provenance, conflict resolution. One static binary, zero dependencies.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/iwanro/forgetmenot)

## 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": "iwanro-forgetmenot"
    }
  }
}
```

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