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SillyTavern

SillyTavern

A model-agnostic local chat frontend for immersive roleplay and narrative control

Character & Roleplay ChatRoleplayTRPGLorebookFree

SillyTavern is an open-source, highly customizable chat frontend for immersive LLM conversations. It does not include a model, but connects to APIs such as Claude, OpenAI, and DeepSeek or local models, with lorebooks, character cards, regex replacements, and extensions for roleplay and long-form narrative control.

Visit Official Site

Updated

2026-08-27

Platforms

Windows / macOS / Linux / Android / Docker

Free

SillyTavern is free and open source; model API usage or local inference costs are paid by the user.

* Pricing is for reference only; see the official site for current pricing.

SillyTavern
github.com

SillyTavern Key Features

  • Model Agnostic

    Use providers such as Claude, OpenAI, and DeepSeek, or connect a locally run language model without being tied to one backend.

  • Lorebook Dynamics

    Trigger background context from keywords so names, places, and world details can be injected into a conversation when needed.

  • Card Importer

    Load compatible community character cards with their portraits, personality setup, and opening message.

  • Deep Customization

    Tailor themes, interface behavior, text replacements, and workflows with advanced settings and extensions.

SillyTavern Best For

Roleplayers

Create immersive character chats using character cards, lorebooks, and customizable interfaces.

Long-form fiction writers

Maintain story context and narrative control through lorebook injection and regex rules.

Local model enthusiasts

Connect local models or supported APIs through a highly customizable open-source frontend.

Pros

  • Extensive UI and workflow customization
  • Works with multiple APIs and local language models
  • Lorebooks and regex tools support long-form scenarios
  • Local installation keeps data and configuration under user control

Considerations

  • Requires network, API, or local-model setup knowledge
  • Conversation quality depends on the connected model
  • Advanced extensions and regex rules require configuration effort
  • API fees or local-model resources are the user's responsibility

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