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AIRunner
Desktop App 4.3/5 LinuxWindows
What is AIRunner?
Offline-first desktop app and server for local LLMs, TTS, STT, and image generation with voice chat and workflow builder.
AI Runner is an all-in-one, offline-first desktop application, headless server, and Python library for local LLMs, TTS, STT, and image generation. It supports real-time voice conversations, custom AI agents, drag-and-drop LangGraph workflow builder, and image generation with Stable Diffusion and FLUX models. Runs locally with no external APIs by default, ensuring privacy.
Key Features
Real-time voice chat with LLMs
Custom AI agents with RAG
Drag-and-drop LangGraph workflow builder
Image generation (SD 1.5, SDXL, FLUX)
Privacy-first, runs locally
GGUF quantization for fast inference
Headless API server
Ollama and OpenAI compatible endpoints
Multi-language support (English, Japanese, Spanish, French, Chinese, Korean)
Docker deployment
Use Cases
Developers run a local LLM server with OpenAI-compatible API to integrate AI chat into their applications without cloud costs.
Content creators generate images from text prompts using Stable Diffusion models, iterating quickly with inpainting and LoRA support.
Researchers build custom AI agents with configurable personalities and RAG-enhanced knowledge for domain-specific Q&A.
Teams automate workflows by designing drag-and-drop LangGraph pipelines that execute LLM calls, image generation, and TTS in sequence.
Privacy-conscious users run all AI models offline, ensuring no data leaves their machine while enjoying voice conversations and chatbot interactions.
Language learners practice conversations with an LLM that supports multiple languages, receiving real-time TTS responses in their target language.
System administrators deploy a headless server on a remote machine to provide AI services (LLM, TTS, STT) to other applications via REST API.
offlineLLMTTSSTTimage generationvoice chatworkflow builderStable DiffusionFLUXprivacy
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