Showing 4 open source projects for "effects"

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  • 1
    OpenWhip

    OpenWhip

    Optimize interaction with AI coding assistants

    OpenWhip is a desktop utility built as a cross-platform Node.js application that humorously gamifies interaction with AI coding assistants by simulating a “whip” tool to interrupt and motivate them during long or stalled operations. The application runs as a lightweight system tray program and overlays a visual whip animation on the screen when activated, creating an interactive and slightly absurd interface for user engagement. Its core functionality is surprisingly practical beneath the...
    Downloads: 5 This Week
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  • 2
    React Doctor

    React Doctor

    Your agent writes bad React

    ...It gives projects a clear health score from 0 to 100, making technical issues easier to understand, prioritize, and communicate. The scanner checks areas such as state management, effects, performance, architecture, accessibility, security, and dead code. It works across popular React environments, including Next.js, Vite, and React Native. It can also be installed into coding agents so they learn better React practices before generating new code. For teams, it supports GitHub Actions workflows that can comment on pull requests and expose scores for automated quality gates.
    Downloads: 0 This Week
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  • 3

    2OPL

    2OPL is a norm programming language for agent organizations.

    2OPL (Organization Oriented Programming Language) is a programming language for developing agent organizations. The used abstractions in the language are brute facts, effects of actions, norms and sanction rules. Brute facts are the state of the environment. Effect rules describe how actions change the brute facts. Norms describe which environment states counts as violations. Finally sanction rules can be programmed to respond to norm violations. The current implementation is based on logic programming (Prolog in particular). ...
    Downloads: 0 This Week
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  • 4
    RegMAS (Regional Multi Agent Simulator) is a spatially explicit multi-agent model framework, developed in C++ language and designed for long-term simulations of effects of government policies over agricultural systems (farm sizes, incomes, land use..).
    Downloads: 0 This Week
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