Showing 4 open source projects for "framework-3-offline"

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    AI Chatbot Framework

    AI Chatbot Framework

    Python chatbot framework with Natural Language Understanding

    ...AI Chatbot Framework can live on any channel of your choice (such as Messenger, Slack etc.) by integrating it’s API with that platform. You don’t need to be an expert at artificial intelligence to create an awesome chatbot that has AI capabilities. With this boilerplate project you can create an AI-powered chatting machine in no time.
    Downloads: 1 This Week
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  • 2
    Sideband

    Sideband

    LXMF client for Android, Linux and macOS to communicate with people

    Sideband is a privacy-focused, peer-to-peer mesh messaging protocol and platform that allows users to communicate directly over local networks or the internet without servers. It emphasizes metadata resistance and secure message delivery, working effectively in offline, low-bandwidth, or disaster recovery scenarios. Built-in Rust, Sideband supports encrypted group messaging, file transfers, and network self-discovery. It is ideal for use in community networks, crisis response, and decentralized communications infrastructure.
    Downloads: 31 This Week
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  • 3
    Rasa

    Rasa

    Open source machine learning framework to automate text conversations

    Rasa is an open source machine learning framework to automate text-and voice-based conversations. With Rasa, you can build contextual assistants on Facebook Messenger, Slack, Google Hangouts, Webex Teams, Microsoft Bot Framework, Rocket.Chat, Mattermost, Telegram, and Twilio or on your own custom conversational channels. Rasa helps you build contextual assistants capable of having layered conversations with lots of back-and-forths.
    Downloads: 2 This Week
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  • 4
    Petoron-P2P-Messenger

    Petoron-P2P-Messenger

    minimalistic, secure and autonomous P2P messenger

    Petoron P2P Messenger (P-P2P-M) Architecture: Pure P2P - no servers, no databases Key storage: Keys generated in memory, never stored, erased after use Metadata: Only IP and port exist during the session - everything else is encrypted & obfuscated Encryption: PQS v1.2 - PBKDF2-HMAC-SHA256 (200k), BLAKE2s-MAC, custom stream cipher + fake padding Authentication: BLAKE2s-MAC (16 bytes) - instant failure on any data change Packet obfuscation: --stealth mode - padding, hidden structures Connection: Direct peer-to-peer only Anonymity: No accounts, logins, or phone numbers Third-party access: Impossible without physical access to both peers during session History: No storage — all in RAM, wiped on close Message size: Limited only by RAM & MTU — no artificial limits External dependencies: None DPI/blocking resistance: Harder to detect, can be masked Autonomy: Fully offline until peers connect 26.01.26 Add pqs_chat_tor.py github.com/01alekseev/Petoron-P2P-Messenger
    Downloads: 1 This Week
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