GenericAgent

A Minimal, Self-Evolving Autonomous Agent Framework

~3K lines of seed code · 9 atomic tools · ~100-line Agent Loop

English · 中文

📌 Official: GitHub + https://gaagent.ai only. DintalClaw is the sole authorized commercial partner; others are not affiliated.

🌟 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).

Design philosophy — don't preload skills, evolve them.

Every time GenericAgent solves a new task, it automatically crystallizes the execution path into a reusable Skill. The longer you use it, the more skills accumulate — forming a personal skill tree grown entirely 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.

📑 Table of Contents

• Key Features

• Demo Showcase

• Quick Start

• Usage

• Unlocking Advanced Capabilities

• Architecture

• Self-Evolution Mechanism

• Comparison

• Evaluation

• Roadmap & News

• Community & Support

• License

📋 Key Features

Feature Description

🧬 Self-Evolving Automatically crystallizes each task into a 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 TMWebdriver 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.

💰 Token Efficient <30K context window — a fraction of the 200K–1M other agents consume. Less noise, fewer hallucinations, higher success rate, lower cost.

🎯 Demo Showcase

🚀 Quick Start

⚠️ Python version: use Python 3.11 or 3.12. Do not use Python 3.14 — it is incompatible with pywebview and a few other GA dependencies.

📖 Detailed installation guide: installation.md · installation_zh.md（中文）

For LLM Agents

Fetch the installation guide and follow it:

curl -fsSL https://raw.githubusercontent.com/lsdefine/GenericAgent/refs/heads/main/docs/installation.md

For Humans

Method 1 — Clone & install (recommended)

git clone https://github.com/lsdefine/GenericAgent.git && cd GenericAgent
uv venv && uv pip install -e ".[ui]"
cp mykey_template_en.py mykey.py   # fill in your LLM API key

Dependencies are deliberately tiered: the agent core needs only requests, plus four lightweight packages (beautifulsoup4, bottle, simple-websocket-server, aiohttp) for TMWebdriver's local server. The [ui] extra pulls in frontend libraries (Streamlit, prompt_toolkit/rich for the TUI, …) — install it for the bundled UIs, or skip it entirely and drive the agent headless. No Playwright, no LangChain, no browser binaries to download.

Then launch:

python frontends/tui_v3.py   # Terminal UI (recommended)
python launch.pyw            # Streamlit web UI

Method 2 — One-line installer (convenience)

Sets up a self-contained directory with an isolated Python environment, Git, and a ready-to-run package. The script is in assets/ if you'd like to read it first.

Windows PowerShell

powershell -ExecutionPolicy Bypass -c "$env:GLOBAL=1; irm https://raw.githubusercontent.com/lsdefine/GenericAgent/main/assets/ga_install.ps1 | iex"

Linux / macOS

GLOBAL=1 bash -c "$(curl -fsSL https://raw.githubusercontent.com/lsdefine/GenericAgent/main/assets/ga_install.sh)"

💡 GenericAgent grows its environment through the Agent itself — don't pre-install everything. See Unlocking Advanced Capabilities below.

💻 Usage

Frontends

Terminal UI (recommended)

A lightweight, scrollback-first terminal interface built on prompt_toolkit + rich. Supports multiple concurrent sessions and real-time streaming.

python frontends/tui_v3.py

TUI rendering on Windows can be flaky depending on terminal + font. Common causes:

• prompt_toolkit / rich are not on the latest version — pip install -U prompt_toolkit rich first.

• PowerShell / cmd ship with terminals that have rough Unicode + key-binding support. Prefer Git Bash on Windows, which is much better behaved.

• If it still looks broken, ask GA itself to fix it:

"My experience using frontends/tui_v3.py in PowerShell / cmd / Git Bash on Windows is very poor — lots of incompatibility. Please refer to Claude Code's best practices for the Windows terminal and fix all font and rendering incompatibilities."

Streamlit UI

python launch.pyw

Bot Interface (IM)

GenericAgent also supports IM frontends such as Telegram, Discord, and Lark.

Platform Command

Telegram python frontends/tgapp.py

Discord python frontends/dcapp.py

Lark / Feishu python frontends/fsapp.py

WeChat, QQ, WeCom and DingTalk are also supported — see the Chinese section below. For detailed setup, ask GenericAgent itself.

🔓 Unlocking Advanced Capabilities

In GA, advanced capabilities are unlocked by instructing the agent, not by reading docs or installing extras. Each instruction below makes GA read its pre-installed SOPs (battle-tested playbooks in its memory), install whatever is missing, adapt to your OS, and persist the result into its own memory.

Capability Just tell GA

🌐 Web automation "Set up your web automation capability." — GA guides you through the one manual step: dragging the bundled Chrome extension into chrome://extensions.

🔤 OCR "Set up your OCR capability with rapidocr and save it to memory."

👁️ Vision "Set up your vision capability from the template in memory/." — GA copies the template, wires it to your existing LLM keys, and self-tests.

🖱️ Computer use "Probe this system and set up your computer-use capability."

💡 *