# daily-memory-save

> Use this tool when you need to maintain conversation continuity across sessions, solving the problem of lost context and forgotten information. It periodically reviews conversation history and generates memory files as output, taking in conversation logs as input. This tool is ideal for use in chatbots and virtual assistants that require persistent memory and contextual understanding.

Canonical page: https://skillsregistry.net/skills/meimakes-daily-memory-save  
JSON: https://api.skillsregistry.net/v1/skills/meimakes-daily-memory-save

## Description

Periodically reviews conversation history and writes memory files to maintain agent continuity across sessions.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-21

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** file-system
- **Updated:** 2026-05-21

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/meimakes-daily-memory-save)

## 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": "meimakes-daily-memory-save"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/meimakes-daily-memory-save` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/meimakes-daily-memory-save/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