# morrow-agent-memory

> Use this tool when you need to maintain persistent continuity of agent state and data across multiple sessions, solving problems of information loss and inconsistent behavior. It provides a memory architecture that stores and retrieves agent data, accepting inputs such as session data and outputs such as restored agent state. Utilize it in contexts where agent continuity is crucial, such as chatbots, virtual assistants, or automated workflows.

Canonical page: https://skillsregistry.net/skills/morrow-agent-memory  
JSON: https://api.skillsregistry.net/v1/skills/morrow-agent-memory

## Description

Memory architecture for persistent agent continuity across sessions.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [ClawHub](https://www.clawhub.ai/timesandplaces/morrow-agent-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": "morrow-agent-memory"
    }
  }
}
```

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