# atmem

> atmem — aetna000-atmem. Use this tool when you need to manage local memory for AI agents with auditable and governed retrieval, or when requiring verifiable execution evidence without relying on external APIs. Atmem solves problems related to secure and transparent data storage and retrieval for AI models, integrating with frameworks like OpenClaw and LangChain. It provides a local-first approach with inputs including AI model data and outputs of retrieved and verified information.

Canonical page: https://skillsregistry.net/skills/aetna000-atmem  
JSON: https://api.skillsregistry.net/v1/skills/aetna000-atmem

## Description

Local-first, auditable memory for AI agents, with governed retrieval, delegated context delivery, and verifiable execution evidence. Works with OpenClaw, MCP, Pydantic AI, and LangChain/LangGraph. No external API required for local memory. Install with pip: pip install atmem

## Trust

- **Trust score (0–1):** 0.33
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/aetna000/atmem)

## 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": "aetna000-atmem"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aetna000-atmem` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aetna000-atmem/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
