Showing 4 open source projects for "foremost windows binary"

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  • 1
    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: 11 This Week
    Last Update:
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  • 2
    PicoClaw

    PicoClaw

    Ultra-Efficient AI Assistant in Go

    PicoClaw is an ultra-lightweight, open-source personal AI assistant written in Go, architected from the ground up to operate with extremely low memory usage (under 10 MB) and fast boot times, making it suitable for inexpensive hardware platforms and embedded devices. Inspired by earlier AI assistant projects like “nanobot,” it was refactored to emphasize resource efficiency while still supporting meaningful AI-driven interactions such as conversational workflows, planning tasks, and...
    Downloads: 10 This Week
    Last Update:
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  • 3
    GoClaw

    GoClaw

    GoClaw is OpenClaw rebuilt in Go

    GoClaw is an enterprise AI agent platform that rebuilds OpenClaw in Go for stronger concurrency, simpler deployment, and production-oriented multi-agent orchestration. It acts as a gateway that connects language models to tools, channels, memory, and organizational data through a single binary. The platform is built for teams that need multiple agents to collaborate, delegate tasks, and operate across different providers without losing tenant isolation. It supports more than 20 LLM providers...
    Downloads: 2 This Week
    Last Update:
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  • 4
    Vibium

    Vibium

    Browser automation for AI agents and humans

    Vibium is an open-source browser automation infrastructure built to serve both AI agents and human developers by simplifying control and interaction with real browsers. It integrates a single lightweight binary that manages browser lifecycle, implements a WebDriver BiDi proxy, and exposes a Model Context Protocol (MCP) server so language models or automation clients can control browser behavior without complex setup. This design makes it ideal for AI agents that need to interact with the...
    Downloads: 0 This Week
    Last Update:
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