# dory-memory

> dory-memory — justinhartbiz-dory-memory. Use this tool when you need to persist data between sessions for AI agents, solving the problem of forgotten information and enabling continuous learning and interaction. It provides a file-based memory system, taking in data inputs and outputting stored information for recall and use in future sessions. Ideal for use cases requiring data retention and recall, such as conversational AI and personalized interactions.

Canonical page: https://skillsregistry.net/skills/justinhartbiz-dory-memory  
JSON: https://api.skillsregistry.net/v1/skills/justinhartbiz-dory-memory

## Description

File-based memory system for AI agents that forget between sessions.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/justinhartbiz-dory-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": "justinhartbiz-dory-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/justinhartbiz-dory-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/justinhartbiz-dory-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