GenericAgent — Agent Tool by lsdefine

by lsdefine · Agent Tool · ★ 9.2k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About GenericAgent

English | 中文 🌟 Overview GenericAgent is a minimal, self-evolving autonomous agent framework. Its core is just 3,300 lines of code. Through 7 atomic tools + a 92-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 3,300 lines of seed code. 🤖 Self-Bootstrap Proof — Everything in this repository, from installing Git and running 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: 3,300 lines of core code. Agent Loop is just 92 lines. No complex dependencies, zero deployment overhead.

ai-agentautomationautonomous-agentbrowser-automationclaudecomputer-controldesktop-automationgeminilightweightllm-agent

Quick Facts

Stars9,181
Forks1,063
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score44.19/100
Open Issues46
Last Updated2026-05-05
Created2026-01-16
Platformsbrowser, claude-code, gemini, python
Est. Tokens~1722k

Compatible Skills

These tools work well together with GenericAgent for enhanced workflows:

  • CORAL — semantic(0.31)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • AutoResearch-SibylSystem — semantic(0.21)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • sibyl-research-system — semantic(0.21)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • stealth-browser-mcp — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)
  • aser — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (56%)

GenericAgent alternative? Top 6 similar tools

Looking for a GenericAgent alternative? If you're comparing GenericAgent with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • evolver by EvoMap · ⭐ 7.2k

    The GEP-powered self-evolving engine for AI agents. Auditable evolution with Genes, Capsules, and Events. | ev

  • CowAgent by zhayujie · ⭐ 44.0k

    CowAgent (chatgpt-on-wechat) 是基于大模型的超级AI助理,能主动思考和任务规划、访问操作系统和外部资源、创造和执行Skills、通过长期记忆和知识库不断成长,比OpenClaw更轻量和便捷。同

  • chatgpt-on-wechat by zhayujie · ⭐ 43.0k

    CowAgent是基于大模型的超级AI助理,能主动思考和任务规划、访问操作系统和外部资源、创造和执行Skills、拥有长期记忆并不断成长,比OpenClaw更轻量和便捷。同时支持微信、飞书、钉钉、企微、QQ、公众号、网页

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    Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili,

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Frequently Asked Questions

What is GenericAgent?

GenericAgent is Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption. It is categorized as a Agent Tool with 9.2k GitHub stars.

What programming language is GenericAgent written in?

GenericAgent is primarily written in Python. It covers topics such as ai-agent, automation, autonomous-agent.

How do I install or use GenericAgent?

You can find installation instructions and usage details in the GenericAgent GitHub repository at github.com/lsdefine/GenericAgent. The project has 9.2k stars and 1063 forks, indicating an active community.

What license does GenericAgent use?

GenericAgent is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to GenericAgent?

The top alternatives to GenericAgent on Agent Skills Hub include evolver, CowAgent, chatgpt-on-wechat. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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