Showing 4 open source projects for "telnet client source code"

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  • 1
    FreeLLMAPI

    FreeLLMAPI

    OpenAI-compatible proxy that aggregates free-tier keys from ~14 AI

    FreeLLMAPI is an OpenAI-compatible proxy that aggregates free-tier API keys from multiple AI providers into one unified endpoint. It is designed for personal experimentation, testing, and lightweight development workflows where users want to route requests through several providers without rewriting client code for each one. The project can automatically fail over between configured providers when one is unavailable or exhausted. Its OpenAI-compatible design makes it easier to use with...
    Downloads: 411 This Week
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  • 2
    Aidea

    Aidea

    Flutter-based cross-platform app integrating major AI models

    AIdea is a comprehensive Flutter-based cross-platform app integrating major AI models—OpenAI GPT, Chinese models Tongyi Qianwen and Wenxin Yiyan, plus image models like Stable Diffusion for text-to-image, image-to-image, SDXL 1.0, super-resolution, and colorization. It includes a client app, server backend, and Docker deployment scripts for hosted setups.
    Downloads: 0 This Week
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  • 3
    Slack MCP Server

    Slack MCP Server

    The most powerful MCP Slack Server with no permission requirements

    ...Through this architecture, AI assistants can read message histories, interact with channels, and retrieve contextual information from Slack conversations in order to perform tasks such as automated analysis, collaboration assistance, or contextual code review. The server supports multiple communication transports, including standard input/output streams, HTTP, and Server-Sent Events, allowing flexible integration with different AI client environments.
    Downloads: 4 This Week
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  • 4
    tldw Server

    tldw Server

    Your Personal Research Multi-Tool

    tldw-server (mirror) is a mirrored distribution of an open-source backend service designed to store, process, and serve summarized information extracted from long pieces of content. The name “tldw” reflects the phrase “too long; didn’t watch,” which refers to tools that condense lengthy videos, articles, or documents into concise summaries. The server component typically acts as the core infrastructure that manages summaries, metadata, and retrieval operations for client applications or user interfaces. ...
    Downloads: 0 This Week
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    PRTG Catches Network Issues Before They Cause Downtime

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