Showing 4 open source projects for "storage client"

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  • Host LLMs in Production With On-Demand GPUs Icon
    Host LLMs in Production With On-Demand GPUs

    NVIDIA L4 GPUs. 5-second cold starts. Scale to zero when idle.

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    Ship Agents Faster

    Transform your applications and workflows into powerful agentic systems at global scale.

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  • 1
    Agentic Inbox

    Agentic Inbox

    A self-hosted email client with an AI agent, running entirely on Cloud

    Agentic Inbox is a self-hosted email client that integrates an AI agent directly into the inbox experience, enabling automated reading, organization, and drafting of emails. It runs entirely on Cloudflare Workers, using serverless infrastructure to manage incoming and outgoing messages without relying on external email services. Each mailbox is isolated with its own storage, ensuring data separation and security while maintaining performance.
    Downloads: 0 This Week
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  • 2
    ChatMCP

    ChatMCP

    ChatMCP is an AI chat client implementing the Model Context Protocol

    ...Tested on major distributions: Ubuntu, Fedora, Arch Linux, openSUSE. Improved Experience: Latest versions include better dark theme support, unified data storage following XDG Base Directory Specification, and an optimized UI layout for Linux desktop environments is planned.
    Downloads: 5 This Week
    Last Update:
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  • 3
    Chatbox

    Chatbox

    The Ultimate AI Copilot on Your Desktop

    Chatbox is a cross-platform desktop AI client designed to give you a fast, polished, and private way to work with modern language models. It runs locally on Windows, macOS, and Linux, keeping your conversations and data stored on your own device. Chatbox acts as a unified interface for popular LLMs like ChatGPT, Claude, Gemini, and local models via Ollama, making it easy to switch providers without changing tools. Built with an ergonomic UI, it’s optimized for long sessions, prompt...
    Downloads: 22 This Week
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  • 4
    videonetwork

    videonetwork

    A simulator for self-organizing video replication and more

    ...We tackle these problems by introducing a bio-inspired algorithm, which lets the content place itself where it is needed. It is robust, scalable and adaptive. The transport path of content is exploited to replicate content and limited storage space is handled by clean-up mechanisms. We implemented a simulator to show the algorithm's performance and to test its behavior under real circumstances. It is easily extendable to support several new scenarios or changes to the algorithm (see replication and client models).
    Downloads: 0 This Week
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    Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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