GStars
    mediar-ai

    mediar-ai/terminator

    playwright for windows computer use

    ai-agents
    ai
    llm
    machine-learning
    agent
    agents
    ml
    native
    py
    Rust
    MIT
    1.7K stars
    216 forks
    1.7K GitHub watchers
    Updated Oct 25, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

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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 208 days ago, with 12 contributors on GitHub.

    Gained 27% fewer stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Provides AI-powered desktop automation for Windows and other platforms using Rust, Python, and TypeScript SDKs.
    • Delivers 100x faster automation with over 95% success rate and no vendor lock-in under an MIT license.
    • Use for automating repetitive desktop tasks across any application or browser with deterministic workflows.
    • Use for integrating AI-driven UI automation into development pipelines via Python or TypeScript programmatic control.
    • Use for recording and replaying human workflows to create reliable, cross-platform automation scripts quickly.

    Should you depend on it?

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

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    No watch-outs from GStars' checks.

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

    From the README

    AI-powered desktop automation — open source, MIT-licensed, cross-platform, accessibility-first. Works across all apps and browsers. Inspired by GitHub Actions & Playwright. 100x faster than generic AI agents, >95% success rate, no vendor lock-in.

    We achieve this by pre-training workflows as deterministic code, and calling AI only when recovery is needed.

    Excerpt from the mediar-ai/terminator README on GitHub (MIT 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

    216+2

    Open issues

    9+1

    Compared with peers in AI Agents

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

    View category →
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