# Talemate Roleplay with AI with a focus on strong narration and consistent world and game state tracking.
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## Core Features - Multiple agents for dialogue, narration, summarization, direction, editing, world state management, character/scenario creation, text-to-speech, and visual generation - Supports per agent API selection - Long-term memory and passage of time tracking - Narrative world state management to reinforce character and world truths - Creative tools for managing NPCs, AI-assisted character, and scenario creation with template support - Node editor for creating complex scenarios and re-usable modules - Context management for character details, world information, past events, and pinned information - Customizable templates for all prompts using Jinja2 - Modern, responsive UI ## Documentation - [Installation and Getting started](https://vegu-ai.github.io/talemate/) - [User Guide](https://vegu-ai.github.io/talemate/user-guide/interacting/) ## Discord Community Need help? Join the new [Discord community](https://discord.gg/8bGNRmFxMj) ## Supported APIs - [OpenAI](https://platform.openai.com/overview) - [Anthropic](https://www.anthropic.com/) - [mistral.ai](https://mistral.ai/) - [Cohere](https://www.cohere.com/) - [Groq](https://www.groq.com/) - [Google Gemini](https://console.cloud.google.com/) - [OpenRouter](https://openrouter.ai/) Supported self-hosted APIs: - [KoboldCpp](https://koboldai.org/cpp) ([Local](https://koboldai.org/cpp), [Runpod](https://koboldai.org/runpodcpp), [VastAI](https://koboldai.org/vastcpp), also includes image gen support) - [oobabooga/text-generation-webui](https://github.com/oobabooga/text-generation-webui) (local or with runpod support) - [LMStudio](https://lmstudio.ai/) - [TabbyAPI](https://github.com/theroyallab/tabbyAPI/) - [Ollama](https://ollama.com/) Generic OpenAI api implementations (tested and confirmed working): - [DeepInfra](https://deepinfra.com/) - [llamacpp](https://github.com/ggerganov/llama.cpp) with the `api_like_OAI.py` wrapper - let me know if you have tested any other implementations and they failed / worked or landed somewhere in between