Showing 4 open source projects for "automatic"

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  • Ship Agents Faster Icon
    Ship Agents Faster

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    Train ML Models With SQL You Already Know

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  • 1
    PenEcho

    PenEcho

    Think with AI beyond the chat box

    ...Sparse tile rendering keeps the 20,000-by-20,000 logical canvas efficient without allocating one enormous bitmap. Local snapshots, undo and redo, lasso selection, PNG export, and manual or automatic AI modes support iterative work. PenEcho is available as a desktop application or Node.js package and supports configurable models, reasoning levels, request retention, and plugins.
    Downloads: 4 This Week
    Last Update:
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  • 2
    AlphaClaw

    AlphaClaw

    OpenClaw harness and fleet manager.

    AlphaClaw is an open-source management layer and deployment harness built on top of OpenClaw to simplify running and maintaining AI agents. It provides a browser-based interface that replaces manual CLI workflows with an intuitive setup and management experience. Designed for reliability, AlphaClaw includes a self-healing watchdog system that detects crashes, performs repairs, and automatically restarts the agent environment. It integrates with multiple platforms such as Slack, Discord,...
    Downloads: 1 This Week
    Last Update:
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  • 3
    GuJumpgate

    GuJumpgate

    A fully automatic GPT Plus registration browser extension

    GuJumpgate is a browser-extension-based utility focused on guided account, proxy, and session workflow automation. It provides a visual extension interface that helps users configure environment settings, proxy behavior, helper services, and export targets. The project is written primarily for users who need a structured browser-side workflow rather than scattered manual steps across extensions, scripts, and configuration files. It includes local helper components for generating and...
    Downloads: 0 This Week
    Last Update:
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  • 4
    AgentVerse

    AgentVerse

    Designed to facilitate the deployment of multiple LLM-based agents

    AgentVerse is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation.
    Downloads: 0 This Week
    Last Update:
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