Showing 9 open source projects for "mechanical"

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    Harmonist

    Harmonist

    Portable AI agent orchestration with mechanical protocol enforcement

    Harmonist is a portable multi-agent orchestration framework for AI coding assistants such as Cursor, Claude Code, Copilot, Windsurf, and Aider. It is designed to make agent workflows more reliable by enforcing protocol rules mechanically instead of trusting prompts alone. The framework includes a catalog of specialized agents, validated memory behavior, supply-chain checks, and hooks that gate code-changing turns. If required reviewers do not run, memory is not updated, or shipped files fail...
    Downloads: 0 This Week
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  • 2
    AutoMaker

    AutoMaker

    Start directing AI agents

    ...Instead of writing every line of code by hand, users add feature cards to a Kanban board with natural language descriptions, and AI agents powered by the Claude Agent SDK handle multi-step tasks such as planning, generating code, running tests, and committing to an isolated git worktree. The core idea is to shift developers’ focus from mechanical coding to high-level architectural and product decisions while retaining control through review and approval of generated changes. Built with tools like React, Vite, Electron, and Express, Automaker offers both web and desktop workflows with real-time streaming of agent activity and visibility into progress.
    Downloads: 9 This Week
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  • 3
    GB PavementMat

    GB PavementMat

    An AI-based software for prediction of pavement material properties

    During pavement quality control, numerous laboratory tests such as California Bearing Ratio (CBR), Proctor compaction test, and Plasticity Index (PI) are conducted to evaluate material performance and suitability. GB PavementMat leverages advanced AI-based models developed using artificial neural networks to accurately predict these critical properties directly from sieve analysis data. This significantly reduces laboratory testing time, cost, and delays while maintaining high reliability....
    Downloads: 0 This Week
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  • 4
    Menagerie

    Menagerie

    A collection of high-quality models for the MuJoCo physics engine

    MuJoCo Menagerie, developed by Google DeepMind, is a curated collection of high-quality simulation models designed for use with the MuJoCo physics engine. It serves as a comprehensive library of accurate and ready-to-use robotic, biomechanical, and mechanical models, ensuring users can perform reliable simulations without having to build or tune models from scratch. The repository aims to improve reproducibility and quality across robotics research by providing verified models that adhere to consistent design and physical standards. Each model directory contains its 3D assets, MJCF XML definitions, licensing information, and example scenes for visualization and testing. ...
    Downloads: 1 This Week
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  • 5
    MATSim
    MATSim is a framework for building multi-agent transport simulations. MATSim has moved to GitHub: https://github.com/matsim-org/matsim Source code and newer releases are now hosted at GitHub!
    Downloads: 1 This Week
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  • 6

    EBEs+jMetal

    Software tool for designing spatial bar structures

    EBEs+jMetal is a software tool that allows to design bar structures which can further be optimized with multi-objective metaheuristics according to different goals, such as minimizing the structure weight and minimizing the deformation.
    Downloads: 0 This Week
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  • 7
    Robot Controlling System (RCS) - is a .NET-oriented software group for controlling remote mechanical objects, debuging and programming them by .NET-languages
    Downloads: 0 This Week
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  • 8
    Tool for investigations in MTS (Mechanical Trading Systems) field, based on core idea of Genetically modificated Recursive Arithmetic Neuron Nets.
    Downloads: 0 This Week
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  • 9
    Gemopus

    Gemopus

    Stable fine-tuned Gemma model for structured, clear responses

    ...The model enhances response organization through better use of formatting, improves readability, and delivers more natural conversational outputs by removing rigid or overly mechanical tones. It also strengthens technical explanations, balancing rigor with accessibility. While not intended as a production-ready system, it serves as a high-quality local assistant for structured writing, summarization, and coding tasks. Limitations include potential hallucinations in complex domains and weaker performance compared to larger frontier models.
    Downloads: 0 This Week
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