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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
"AnyTool: Universal Tool-Use Layer for AI Agents"
| Date | Stars |
|---|---|
| 2026-07-31 | 683 |
| 2026-08-06 | 684 |
Today
+1 stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
<div align="center">
<picture>
<img src="assets/AnyTool_logo.png" width="800px" style="border: none; box-shadow: none;" alt="AnyTool Logo">
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## AnyTool: Universal Tool-Use Layer for AI Agents
### ✨ **One Line of Code to Supercharge any Agent with <br>Fast, Scalable and Powerful Tool Use** ✨
[](https://github.com/HKUDS/AnyTool/)
[](https://www.python.org/)
[](https://opensource.org/licenses/MIT/)
[](./COMMUNICATION.md)
[](./COMMUNICATION.md)
| ⚡ **Fast - Lightning Tool Retrieval** | 📈 **Self-Evolving Tool Orchestration** | ⚡ **Universal Tool Automation** |
</div>
## 🎯 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.
```python
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"
)
```
---
## 📋 Table of Contents
- [🎯 Quick Start](#-quick-start)
- [🚀 Technical Innovation & Implementation](#-technical-implementation)
- [🔧 Configuration Guide](#-configuration-guide)
- [📖 Code Structure](#-code-structure)
- [🔗 Related Projects](#-related-projects)
---
## 🎯 Quick Start
### 1. Environment Setup
```bash
# 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 Excerpt of 34,278 characters
Read on GitHub
Xu Lingrui · University of Hong Kong
17
Xinmin Zeng
1
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:67d9d208b5f652e1, topic:ai-agents, desc:ai agents, desc:tool use
matched fp:67d9d208b5f652e1, topic:mcp