# agent-recall

> agent-recall — ilikek3310-agent-recall. Use this tool when you need to retain persistent memory for AI coding agents across multiple projects and sessions. It solves problems of context loss and task recovery, enabling seamless continuity of work. The agent-recall tool accepts project and session data as input and outputs a shared context, ideal for use with git and other development tools.

Canonical page: https://skillsregistry.net/skills/ilikek3310-agent-recall  
JSON: https://api.skillsregistry.net/v1/skills/ilikek3310-agent-recall

## Description

Store persistent memory for AI coding agents across tools, sessions, and projects with shared context and task recovery

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/Ilikek3310/agent-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": "ilikek3310-agent-recall"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ilikek3310-agent-recall` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ilikek3310-agent-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