Youtu-Agent

Youtu-Agent is a powerful and modular framework designed for the rapid building, running, and rigorous evaluation of autonomous AI agents. It addresses the common complexities of agent development by providing a flexible, scalable architecture centered on clear component separation and robust compatibility with open-source models. This framework empowers developers, researchers, and AI enthusiasts to quickly deploy high-performing, customized agents for complex real-world tasks.

Key Features

Youtu-Agent is built on a foundation of clarity and performance, offering essential capabilities that accelerate development and ensure reliable execution.

🤖 Automatic Agent and Tool Generation

Unlike frameworks that demand extensive manual configuration and hand-coded functions, Youtu-Agent includes a built-in meta-agent that interviews you about your task requirements. This system automatically assembles the necessary tools, drafts the corresponding tool code and schemas, and generates ready-to-use YAML configuration files, allowing you to execute complex agents immediately without extensive manual setup.

🏗️ Modular and Configurable Architecture

The framework enforces a clear separation of concerns among its core components: the AgentConfig, the Agent itself, the available Toolkits, and the operational Environment. Driven by a configuration system built on pydantic and hydra, this modularity ensures that components are highly customizable, easily integrated, and scalable for robust application development.

🧠 Dual Agent Paradigms for Task Complexity

Youtu-Agent supports two primary paradigms to match the complexity of your objectives. The SimpleAgent uses a classic, single-loop ReAct (Reason and Act) style for straightforward tasks. For challenging problems requiring coordination, the OrchestraAgent employs a sophisticated Plan-and-Execute strategy, coordinating specialized Planner, Worker, and Reporter agents to achieve complex goals efficiently.

🔬 Comprehensive Evaluation Framework

To ensure performance and consistency, the framework includes a standardized Evaluation Framework. This system provides an automated pipeline for rigorous benchmarking, handling data management, standardizing benchmark-specific logic, and automatically executing and judging agent performance. This is crucial for researchers needing consistent, repeatable results.

🌐 Rich, Pre-Built Toolkits and Environments

Agents gain capabilities through readily available Toolkits, which include essential functions for web searching, file manipulation, code execution, and document analysis. Furthermore, agents can operate in diverse Environments, such as the ShellLocalEnv for secure filesystem access or the BrowserEnv for complex web interactions, extending their operational reach beyond simple text generation.

Use Cases

Youtu-Agent provides a powerful scaffolding for solving real-world problems that require autonomous decision-making and tool utilization.

Unique Advantages

Youtu-Agent is designed to deliver superior performance and development efficiency, particularly for users prioritizing open-source models and rapid deployment.

Performance Benchmarks

Built on open-source models and optimized tools, Youtu-Agent demonstrates exceptional results on challenging benchmarks.

• WebWalkerQA: Achieved 71.47% accuracy using DeepSeek-V3.1, setting a new State-of-the-Art (SOTA) performance in deep search and tool use tasks.

• GAIA: Achieved 72.8% pass@1 on the text-only validation subset, proving its robust multi-step reasoning and tool-using capabilities in complex scenarios.

Streamlined Development Workflow

The framework’s automated generation feature fundamentally changes the agent development workflow. By using the interactive meta-agent to clarify requirements and auto-generate configurations and tool code, developers can bypass hours of hand-coding functions and prompt engineering, dramatically accelerating time-to-deployment.

Accessibility and Cost-Effectiveness

Youtu-Agent promotes accessibility by prioritizing open-source model support and leveraging the foundation of openai-agents for compatibility with diverse LLMs (including gpt-oss variants). Its fully asynchronous architecture further enables high-performance and efficient execution, making it a powerful, low-cost baseline for both large-scale research and practical applications.

Conclusion

Youtu-Agent delivers a unique combination of high-performance benchmarking capabilities, advanced modularity, and powerful automation features, making it the ideal framework for creating sophisticated, autonomous agents. Whether you are an LLM researcher seeking a robust baseline or an application developer needing proven, portable scaffolding, Youtu-Agent provides the tools necessary to move from concept to execution with speed and confidence.