This project is an on-device AI SDK providing a framework for running large language models, vision models, and speech models locally. It serves as an orchestration layer for local LLM execution, ensuring data privacy and offline availability by utilizing hardware acceleration on the device. The SDK is distinguished by its comprehensive voice and multimodal capabilities, including a coordinated voice pipeline for activity detection, speech-to-text, and text-to-speech synthesis. It also provides a dedicated implementation kit for local retrieval-augmented generation and tools for processing co
mi-gpt is a voice assistant bridge and agent orchestrator that connects smart speakers to large language models. It functions as an integration layer that routes audio requests from hardware speakers to AI providers and converts generated text back into speech via a customizable synthesis system. The project features a retrieval-augmented generation knowledge base that uses embeddings and external documents to provide context-aware responses. It includes a persona definition system for configuring behavioral rules, system prompts, and roleplay characteristics, alongside a plugin architecture
PromptX is an LLM agent orchestration framework designed to execute multi-step workflows using autonomous agents. It features a sandboxed tool execution environment for secure filesystem operations and external API integrations, alongside a persona management system that defines professional roles and domain expertise to control agent behavior. The system implements a semantic memory network for persistent knowledge storage, utilizing graph-based memory and engrams to retain information across sessions. This cognitive memory includes specialized tools for knowledge graph visualization, allowi
This project is an AI assistant integration that connects OpenAI models to the Feishu team communication platform. It functions as a multi-model gateway that routes requests to GPT-4, GPT-4V, DALL-E-3, and Whisper models, enabling voice conversations, image generation, and multi-topic dialogues within team chats. The assistant operates through a bridge layer that translates Feishu chat events into internal commands, supporting plugin-based persona switching to alter response behavior and tone for different use cases. It distributes API requests across multiple authentication tokens for load b
Operit is a private, voice-enabled AI agent designed to run quantized large language models offline within mobile Linux environments. It functions as a plugin-based agent that combines local inference with a hands-free interaction pipeline.
Las características principales de aaswordman/operit son: Voice Interaction Management, GGUF Assistants, Conversational Voice AI, Persona Configurations, Local Model Execution, GGUF Execution, Persona Definitions, Voice Assistants.
Las alternativas de código abierto para aaswordman/operit incluyen: runanywhereai/runanywhere-sdks — This project is an on-device AI SDK providing a framework for running large language models, vision models, and speech… idootop/mi-gpt — mi-gpt is a voice assistant bridge and agent orchestrator that connects smart speakers to large language models. It… deepractice/promptx — PromptX is an LLM agent orchestration framework designed to execute multi-step workflows using autonomous agents. It… connectai-e/feishu-openai — This project is an AI assistant integration that connects OpenAI models to the Feishu team communication platform. It… huggingface/speech-to-speech — This project is a framework for building local voice assistants and a real-time audio streaming server. It functions… vocodedev/vocode-core — Vocode-core is a framework for building real-time conversational AI voice agents. It serves as a conversational…