# Recall

> Recall — edheltzel-recall. Use this tool when you need to preserve and retrieve important information across multiple sessions, solving the problem of lost context and knowledge. Recall extracts and indexes key data, allowing for seamless recall of crucial information, and integrates with git for version control. It is ideal for use cases where continuity and knowledge retention are essential, such as collaborative projects or complex workflows.

Canonical page: https://skillsregistry.net/skills/edheltzel-recall  
JSON: https://api.skillsregistry.net/v1/skills/edheltzel-recall

## Description

Local memory for AI coding agents. Recall remembers your past sessions so your agent doesn't start from scratch every time.

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/edheltzel/Recall)

## 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": "edheltzel-recall"
    }
  }
}
```

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