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Comprehensive GitHubリソース Tools for Every Need

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GitHubリソース

  • DeepSeek Online

    Experience the power of DeepSeek V3 AI model with 671B parameters, entirely for free.
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    What is DeepSeek Online?
    DeepSeek V3 is an advanced open-source AI model featuring 671 billion parameters. It offers state-of-the-art AI capabilities and can be used for free without any registration. The platform provides instant access to AI capabilities via an online demo and supports local installation with open-source code available on GitHub. The model is designed for easy integration with existing applications through a simple API and comprehensive documentation, making it an ideal choice for both personal and commercial use.
    DeepSeek Online Core Features
    • 671 billion parameters
    • Free to use
    • Open-source code
    • No registration required
    • API integration
    • Comprehensive documentation
    DeepSeek Online Pro & Cons

    The Cons

    The Pros

    Free online demo with no registration required
    Open-source with full source code available
    Powerful AI model with 671B parameters
    Free for commercial use
    Easy API integration and comprehensive documentation
    Community support available
    Supports both online use and local installation
    DeepSeek Online Pricing
    Has free planYES
    Free trial details
    Pricing modelFree
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequency
    For the latest prices, please visit: https://www.deepseekv3.net

  • Agentic AI Systems

    Agentic AI Systems curates and categorizes open-source AI agent frameworks for building intelligent, autonomous multi-tool pipelines.
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    What is Agentic AI Systems?
    Agentic AI Systems is a centralized resource on GitHub listing and describing a wide array of open-source agentic AI frameworks and tools. It organizes entries by capabilities, languages, and supported tools, offering direct links to source code, documentation, and quickstart examples. Developers can quickly identify and compare agent platforms, explore sample implementations, and integrate chosen frameworks into their own projects. The repository is regularly updated to include new projects, version changes, and community contributions, making it a go-to index for autonomous AI systems research and prototyping.
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