Forkpath: Change One Moment in History, Then Let the AI Do the Homework

Описание и применение

Forkpath позволяет быстро генерировать ветвящиеся альтернативные истории, используя локальные модели ИИ, с проверкой реалистичности и возможностью редактирования событий.

Задача

Writing alternate history requires extensive research, scenario planning, and consistency across multiple storylines.

Результат

Forkpath enables rapid, local generation of detailed alternate-history timelines with branching probabilities, realism checks, and editable event nodes, reducing research time from days to minutes.

Рабочий процесс

• 1. Install Forkpath locally via npm.
• 2. Run the dev server and open http://localhost:5173.
• 3. Select an AI engine (Anthropic, OpenAI-compatible, or local Ollama/LM Studio).
• 4. Input a one-sentence alternate-history prompt.
• 5. Forkpath generates a tree of events with odds at each fork.
• 6. Review and edit events; regenerate or delete branches as needed.
• 7. Save timelines as plain JSON for sharing or version control.

Доказательства

Forkpath runs locally, so here's a quick tour in screenshots.

Источник

The model layer was designed to be swappable from day one: No SDKs. The server talks to models through two small adapters built on plain fetch: one for the Anthropic Messages API and one for any OpenAI-compatible endpoint.

Источник

With an open-weight model behind it, Forkpath is fully local: Nothing leaves your machine. The app, the model and your timelines all live on your laptop.

Источник