GenericAgent

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🌟 Overview

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.

📋 Core Features

• Self-Evolving: Automatically crystallizes each task into an skill. Capabilities grow with every use, forming your personal skill tree.
• Minimal Architecture: ~3K lines of core code. Agent Loop is ~100 lines. No complex dependencies, zero deployment overhead.
• Strong Execution: Injects into a real browser (preserving login sessions). 9 atomic tools take direct control of the system.
• High Compatibility: Supports Claude / Gemini / Kimi / MiniMax and other major models. Cross-platform.

🧬 Self-Evolution Mechanism

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

[New Task] --> [Autonomous Exploration] (install deps, write scripts, debug & verify) -->
[Crystallize Execution Path into skill] --> [Write to Memory Layer] --> [Direct Recall on Next Similar Task]

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.

##### 🎯 Demo Showcase

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