# AutoMem

> Use this tool when you need to analyze memory dumps for forensic investigations, as it solves problems related to privacy and efficiency in digital evidence analysis. AutoMem takes in memory dump files as input and outputs detailed forensic reports, utilizing Volatility 3 plugins and local LLM provider Ollama for offline analysis. It is ideal for use cases where privacy and speed are crucial, such as incident response and cybersecurity investigations.

Canonical page: https://skillsregistry.net/skills/wengking219-automem  
JSON: https://api.skillsregistry.net/v1/skills/wengking219-automem

## Description

AutoMem is an AI agent specifically built for memory dumps forensics. It is built using DeepAgents framework from LangChain with the integration of Volatility 3 plugins in the MCP server. Ollama acts as the local LLM provider to provide privacy first analysis in local offline environment.

## Trust

- **Trust score (0–1):** 0.79
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/WENGKING219/AutoMem)

## 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": "wengking219-automem"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wengking219-automem` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wengking219-automem/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