AnyTool

AnyTool: Universal Tool-Use Layer for AI Agents

✨ One Line of Code to Supercharge any Agent with Fast, Scalable and Powerful Tool Use ✨

| ⚡ Fast - Lightning Tool Retrieval  |  📈 Self-Evolving Tool Orchestration  |  ⚡ Universal Tool Automation |

🎯 What is AnyTool?

AnyTool is a Universal Tool-Use Layer that transforms how AI agents interact with tools. It solves three fundamental challenges that prevent reliable agent automation: overwhelming tool contexts, unreliable community tools, and limited capability coverage -- delivering the first truly intelligent tool orchestration system for production AI agents.

💡 Research Highlights

⚡ Fast - Lightning Tool Retrieval

• Smart Context Management: Progressive tool filtering delivers exact tools in milliseconds through multi-stage pipeline, eliminating context pollution while maintaining speed.

• Zero-Waste Processing: Pre-computed embeddings and lazy initialization eliminate redundant processing - tools are instantly ready across all executions.

📈 Scalable - Self-Evolving Tool Orchestration

• Adaptive MCP Tool Selection: Smart caching and selective re-indexing maintain constant performance from 10 to 10,000 tools with optimal resource usage.

• Self-Evolving Tool Optimization: System continuously improves through persistent memory, becoming more efficient as your tool ecosystem expands.

🌍 Powerful - Universal Tool Automation

• Quality-Aware Selection: Built-in reliability tracking and safety controls deliver production-ready automation through persistent learning and execution safeguards.

• Universal Tool-Use Capability: Multi-backend architecture seamlessly extends beyond web APIs to system operations, GUI automation, and deep research through unified interface.

⚡ Easy-to-Use and Effortless Integration

One line to get intelligent tool orchestration. Zero-config setup transforms complex multi-tool workflows into a single API call.

from anytool import AnyTool

# One line to get intelligent tool orchestration
async with AnyTool() as tool_layer:
    result = await tool_layer.execute(
        "Research trending AI coding tools from GitHub and tech news, "
        "collect their features and user feedback, analyze adoption patterns, "
        "then create a comparison report with insights"
    )

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📋 Table of Contents

• 🎯 Quick Start
• 🚀 Technical Innovation & Implementation
• 🔧 Configuration Guide
• 📖 Code Structure
• 🔗 Related Projects

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🎯 Quick Start

1. Environment Setup

# Clone repository
git clone https://github.com/HKUDS/AnyTool.git
cd AnyTool

# Create and activate conda environment (includes ffmpeg for video recording)
conda create -n anytool python=3.12 ffmpeg -c conda-forge -y
conda activate anytool

# Install dependencies
pip install -r requirements.txt

[!NOTE] Create a .env file and add your API keys (refer to anytool/.env.example).

2. Execution Mode: Local vs Server

AnyTool's Shell and GUI backends support two execution modes. You can configure the mode in anytool/config/config_grounding.json:

{
  "shell": { "mode": "local", ... },  // or "server"
  "gui":   { "mode": "local", ... }   // or "server"
}

Local Mode (Default — no server needed)