lsdefine

    lsdefine/GenericAgent

    Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption

    14.4K stars
    1.7K forks
    14.4K GitHub watchers
    Updated Nov 3, 2026
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    Where it stands

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

    2 releases in the last 90 days, the latest 15 days ago, with 67 contributors on GitHub.

    Peaked at #7 in the weekly ranking the week of Apr 19, its best in the past year.

    Use Cases & Benefits

    • Implements a minimal self-evolving autonomous agent framework that gains system-level control over local computers via a growing skill tree.
    • Enables continuous autonomous skill acquisition and reuse, reducing token consumption and deployment complexity with only ~3K lines of core code.
    • Use for automating complex desktop and browser tasks by evolving reusable skills from repeated executions.
    • Use for integrating LLMs with real-world system control including keyboard, mouse, screen vision, and mobile device automation.
    • Use for building personalized autonomous agents that improve over time by crystallizing execution paths into permanent skills.

    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

    GenericAgent is a minimal, self-evolving autonomous agent framework. Its core is just ~3K lines of code. Through 9 atomic tools + a ~100-line Agent Loop, it grants any LLM system-level control over a local computer — covering browser, terminal, filesystem, keyboard/mouse input, screen vision, and mobile devices (ADB).

    Its design philosophy: don't preload skills — evolve them.

    Every time GenericAgent solves a new task, it automatically crystallizes the execution path into an skill for direct reuse later. The longer you use it, the more skills accumulate — forming a skill tree that belongs entirely to you, grown from 3K lines of seed code.

    🤖 Self-Bootstrap Proof — Everything in this repository, from installing Git and running git init to every commit message, was completed autonomously by GenericAgent. The author never opened a terminal once.

    This is what fundamentally distinguishes GenericAgent from every other agent framework.

    After a few weeks, your agent instance will have a skill tree no one else in the world has — all grown from 3K lines of seed code.

    Excerpt from the lsdefine/GenericAgent 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

    1.7K+78

    Open issues

    202+77

    Compared with peers in AI Agents

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

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    lsdefine/GenericAgent14.4K—5915 days ago
    Category median115.8K+8.4K75—

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