# hippocampus

> hippocampus — fastbean-au-hippocampus. Use this tool when you need to efficiently store and manage log data, audit trails, or context information, and leverage its finite, biological-inspired memory storage engine to solve data retention and recall problems. It accepts log data and other contextual information as inputs and provides stored data as outputs, with integration capabilities via git. Ideal for use cases requiring reliable and scalable data storage and retrieval, such as compliance auditing or troubleshooting.

Canonical page: https://skillsregistry.net/skills/fastbean-au-hippocampus  
JSON: https://api.skillsregistry.net/v1/skills/fastbean-au-hippocampus

## Description

A finite, biological-inspired memory storage engine for log retention, audit trails, and context management.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/fastbean-au/hippocampus)

## 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": "fastbean-au-hippocampus"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fastbean-au-hippocampus` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fastbean-au-hippocampus/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