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    murtaza-nasir

    murtaza-nasir/maestro

    MAESTRO is an AI-powered research application designed to streamline complex research tasks.

    backend
    Python
    AGPL-3.0
    1.5K stars
    146 forks
    1.5K GitHub watchers
    Updated Oct 26, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    No releases in the last 90 days; the most recent was 381 days ago, with 2 contributors on GitHub.

    Gained 54% fewer stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Provides a self-hosted AI-powered platform to manage and automate complex research workflows from planning to report generation.
    • Enables full control over data and infrastructure with multi-agent collaboration and advanced semantic search capabilities.
    • Use for conducting collaborative academic or scientific research projects requiring document management and AI-assisted analysis.
    • Use for enterprises needing a private, secure AI research assistant to integrate web sources and local documents for insights.
    • Use for developers or researchers wanting to deploy and customize local large language models with OpenAI-compatible APIs.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    AGPL 3.0

    Network copyleft: like the GPL, and also triggered by offering the software over a network.

    Community files

    • README: present

    Watch-outs

    • AGPL-style copyleft also applies when the software is offered over a network.
    • No commits in the last six months (last push Apr 2026).
    • Owned by an individual account with only 2 contributors on GitHub; plan for bus-factor risk.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    Version 0.1.5-alpha (Sep 2, 2025) - Major Update

    • Performance: Complete async backend migration (2-3x faster)
    • Stability: 50+ bug fixes and mission recovery improvements
    • Documentation: Complete overhaul with example reports and guides
    • UI/UX: Enhanced interface with LaTeX support and better navigation

    MAESTRO is an AI-powered research platform you can host on your own hardware. It's designed to manage complex research tasks from start to finish in a collaborative research environment. Plan your research, let AI agents carry it out, and watch as they generate detailed reports based on your documents and sources from the web.

    Excerpt from the murtaza-nasir/maestro README on GitHub (AGPL-3.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    146+3

    Open issues

    9+0

    Compared with peers in Backend

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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