# facthouse

> facthouse — gordonkjlee-facthouse. Use this tool when you need to store and retrieve data locally, enabling AI models to access and utilize information from previous interactions or training sessions. Facthouse solves data persistence and knowledge retention problems, providing a reliable memory engine for various AI applications. It accepts data inputs and stores them locally, allowing for efficient retrieval and utilization in subsequent AI processes.

Canonical page: https://skillsregistry.net/skills/gordonkjlee-facthouse  
JSON: https://api.skillsregistry.net/v1/skills/gordonkjlee-facthouse

## Description

Local AI memory: neuroscience-inspired Data→Information→Knowledge in SQLite you own.

## Trust

- **Trust score (0–1):** 0.57
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## 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/gordonkjlee/facthouse)

## 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": "gordonkjlee-facthouse"
    }
  }
}
```

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