Showing 8 open source projects for "text voice"

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  • 1
    Parlant

    Parlant

    The behavior guidance framework for customer-facing LLM agents

    Parlant is a lightweight speech-to-text and text-to-speech framework designed for real-time AI-driven voice applications.
    Downloads: 0 This Week
    Last Update:
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  • 2
    Bolna

    Bolna

    Conversational voice AI agents

    Bolna is an end-to-end open-source platform for building conversational voice AI agents, enabling developers to create voice-first conversational assistants efficiently.
    Downloads: 5 This Week
    Last Update:
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  • 3
    MOSS-TTS-Nano

    MOSS-TTS-Nano

    MOSS-TTS-Nano is an open-source multilingual tiny speech generation

    MOSS-TTS-Nano is a lightweight text-to-speech model designed for real-time voice generation in resource-constrained environments. It is part of the broader MOSS-TTS family and focuses on delivering high-quality speech synthesis with a compact architecture. The model operates efficiently on CPU-only systems, enabling deployment without specialized hardware. It supports multilingual voice cloning and produces high-fidelity audio with low latency.
    Downloads: 12 This Week
    Last Update:
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  • 4
    SafeClaw

    SafeClaw

    Chat with it via text and voice

    ...It emphasizes privacy and predictability by using traditional programming, rule-based intent parsing, and established machine learning tools rather than large language models, meaning there are no per-token API costs and deterministic behavior. The assistant offers features such as voice control using fully local speech-to-text (Whisper) and text-to-speech (Piper) capabilities, news aggregation with extractive summarization, and smart home or Bluetooth device control. SafeClaw supports multiple channels, including CLI and Telegram, and avoids prompt injection risk because it doesn’t rely on LLMs for core operations.
    Downloads: 0 This Week
    Last Update:
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  • 5
    OpenHuman

    OpenHuman

    Your Personal AI super intelligence. Private, simple and powerful

    ...The project connects to common productivity tools, gathers fresh information from integrations, and organizes user knowledge into a local memory system. It also includes practical agent tools such as web search, web fetching, file access, coding utilities, voice input, text-to-speech, and model routing. Its goal is to make an AI assistant feel continuously useful across meetings, messages, documents, tasks, and personal workflows. Since it is still in early beta, it is best suited for technical users and early adopters who want to experiment with a customizable personal AI environment.
    Downloads: 37 This Week
    Last Update:
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  • 6
    Flowly AI

    Flowly AI

    Flowly is 100x faster than OpenClaw

    ...Designed for flexibility, Flowly supports multiple AI providers and models through LiteLLM, allowing users to customize how their assistant behaves. It features a multi-agent architecture where different specialized agents can collaborate, delegate tasks, and operate in parallel. Flowly also includes voice capabilities, enabling real-time phone interactions using speech-to-text and text-to-speech systems. Overall, it provides a powerful, extensible, and privacy-focused alternative to cloud-based AI assistants.
    Downloads: 3 This Week
    Last Update:
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  • 7
    Moltis

    Moltis

    A Rust-native claw you can trust

    Moltis is an open-source personal AI assistant platform written in Rust that is designed to run as a fully self-hosted, local-first agent environment. It compiles the entire assistant stack, including the web interface, model routing, memory, and tools, into a single self-contained binary with no external runtime dependencies. The system supports multiple large language model providers alongside local models, enabling users to maintain privacy while still accessing cloud capabilities when...
    Downloads: 2 This Week
    Last Update:
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  • 8
    Auto-Commenter

    Auto-Commenter

    A Claude skill that automatically posts personalized comments

    Auto-Commenter is a Claude-oriented automation project built to help users write and post comments that sound natural and context-aware in targeted online communities. It centers on learning a user’s writing style from their real comment history, then applying that style to generate responses that feel consistent with the user rather than generic template text. The workflow emphasizes deeper post analysis so the system can respond to what is actually being discussed, instead of replying with...
    Downloads: 0 This Week
    Last Update:
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