# Alethea World History Engine

> Use this tool when you need to generate and manage complex fictional worlds with consistency across multiple entities, factions, and locations. The Alethea World History Engine solves the problem of context limits in large-scale storytelling, enabling LLMs to track and mutate thousands of entities. It takes in narrative inputs and outputs a cohesive and consistent world graph, ideal for use cases like interactive storytelling, game development, and immersive content creation.

Canonical page: https://skillsregistry.net/skills/watashicuvu-world-history-engine  
JSON: https://api.skillsregistry.net/v1/skills/watashicuvu-world-history-engine

## Description

A narrative graph engine that enables LLMs to generate, track, and mutate complex fictional worlds while maintaining consistency between factions, characters, and locations. It acts as a specialized RAG framework for storytelling, allowing models to manage thousands of entities without exceeding context limits.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uxfbo84h5w)
- **Repository:** <https://github.com/Watashicuvu/world-history-engine>

## 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": "watashicuvu-world-history-engine"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/watashicuvu-world-history-engine` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/watashicuvu-world-history-engine/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