Showing 4 open source projects for "code framework"

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    OpenClaw CN

    OpenClaw CN

    The Chinese version of OpenClaw

    ...Beyond simple translation, the project often curates region-specific integrations or tooling recommendations that resonate with local developer environments and platforms. It helps accelerate adoption by providing readable guides, sample configurations, and annotated code that aligns with Chinese developer preferences and tooling conventions.
    Downloads: 3 This Week
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  • 2
    The Pope Bot

    The Pope Bot

    Autonomous AI agent that you can configure and build

    The Pope Bot is an autonomous AI agent framework that lets users configure and run an AI-powered agent that can perform tasks continuously, day in and day out, by leveraging GitHub Actions, commit history, and secure workflows. It’s designed so that every action taken by the agent is logged as a git commit, giving users complete visibility into what the agent did, why it did it, and when, which makes actions auditable and reversible. The framework treats the repository itself as the agent’s...
    Downloads: 2 This Week
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  • 3
    OpenClaw Chinese Translation

    OpenClaw Chinese Translation

    Open source personal AI assistant Chinese version

    OpenClawChineseTranslation is a community-driven effort to provide translated resources and documentation for the OpenClaw project in Chinese, making it easier for native Chinese developers to understand and implement the agent framework. It focuses on producing accurate and up-to-date translations of tutorials, API references, configuration guides, and explanatory materials so that learners don’t struggle with language barriers when working with the original project. The repository...
    Downloads: 1 This Week
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  • 4
    NullClaw

    NullClaw

    Fastest, smallest, and fully autonomous AI assistant infrastructure

    NullClaw is the smallest fully autonomous AI assistant infrastructure, built entirely in Zig as a single static binary with zero runtime dependencies. At just 678 KB with ~1 MB peak RAM usage, it boots in under 2 milliseconds and runs on virtually any hardware, including low-cost ARM boards. Despite its size, it delivers a complete AI stack with 22+ model providers, 18+ communication channels, integrated tools, hybrid memory, and sandboxed runtime support. Its architecture is fully modular,...
    Downloads: 3 This Week
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