TencentCloudADP / youtu-agent

Youtu-Agent: Scaling Agent Productivity with Automated Generation and Hybrid Policy Optimization | 中文 | 日本語 | 🌟 Performance | 💡 Examples | ✨ Features | 🚀 Getting Started | 📢 Join Discord or WeChat | is a flexible, high-performance framework for building, running, and evaluating autonomous agents. Beyond topping the benchmarks, this framework delivers powerful agent capabilities, e.g. data analysis, file processing, and deep research, all with open-source models. Additionally, the framework supports experience-based learning and end-to-end RL training to enhance agent capabilities. Key highlights: • **Verified performance**: Achieves state-of-the-art performance on WebWalkerQA (71.47%) and GAIA (72.8%) using purely open-weight models (e.g., ), establishing a strong open-source baseline. • **Automated Agent Generation**: Introduces two paradigms: a **Workflow** mode for standard tasks and a **Meta-Agent** mode for complex requirements. The framework supports automated generation of tool code, prompts, and configurations, achieving over 81% tool synthesis success rate. • **Continuous Experience Learning**: The **Agent Practice** module enables low-cost continuous evolution via Training-Free GRPO. Agents accumulate experience and improve performance (e.g., +5.4% on AIME 2025) through in-context optimization without parameter updates. • **Scalable and Stable Agent RL**: The **Agent RL** module provides a complete pipeline for end-to-end reinforcement learning. By integrating with distributed frameworks, it addresses stability and scalability challenges, achieving 40% training speedup and scaling to 128 GPUs. • **Open-source friendly & cost-aware**: Optimized for accessible, low-cost deployment without reliance on closed models. • **Practical use cases**: Out-of-the-box support for tasks like data analysis, literature review, personal file organization, retrieval-augmented generation, and PPT generation. • **Flexible architecture**: Built on openai-agents, with extensible support for diverse model APIs (from to ), tool integrations, and framework implementations. 🗞️ News • 🎉 [2026-01-17] **Agent Skills now supported!** Extend your agents with modular, domain-specific knowledge and workflows inspired by Anthropic's Claude Code skills. [documentation]. • 🚀 [2026-01-04] **Youtu Tip & Youtu-LLM Released!** We are excited to introduce **Youtu-Tip**, an extension of Youtu-Agent that runs on macOS and is powered by offline models (via Ollama). It automates tasks like file reading and web browsing. In the future, you will be able to run your agent built with Youtu-Agent even more easily using Youtu-Tip. Also, try **Youtu-LLM** inside. • 🚀 [2025-12-10] **Youtu-Agent x Agent-Lightning training integration available!** We've collaborated with the Agent-Lightning team to implement efficient model training in verious scenarios. With ours efforts, training can now seamlessly scale to multi-node deployment on 128 GPUs. See details in the rl/agl branch. • 🎉 [2025-11-12] **Training-Free GRPO now available in main branch!** The agent practice module powered by Training-Free Group Relative Policy Optimization is now integrated into the main branch. Enhance your agents' performance without fine-tuning at minimal cost (~$8 for RL runs). See our Agent Practice Documentation for usage and examples on math reasoning and web search tasks. • 📢 [2025-11-03] New examples: we add the **PPT generation** and **RAG** examples. • 🚀 [2025-10-10] **Training-Free Group Relative Policy Optimization**. RL for DeepSeek-V3.2 at $8? Yes, it's possible! Training-free GRPO keeps DeepSeek-V3.2 frozen, learns a token prior from ~100 samples for ~$8 RL runs, delivers verified math and web search gains! code in branch [training_free_GRPO] [x thread]. • 🛠️ [2025-09-28] Agent auto-generation now ships with companion tooling: describe a capability once and let build the tool for you. [details]. 📰 Previous announcements • 📺 [2025-09-09] We hosted a live sharing the design philosophy and basic usage of . [video] [documentation]. • 🎁 [2025-09-02] Tencent Cloud International offers new users of the DeepSeek API **3 million free tokens** (**Sep 1 – Oct 31, 2025**). Try it out for free if you want to use DeepSeek models in ! For enterprise agent solutions, also check out Agent Development Platform (ADP). • 📺 [2025-08-28] We hosted a live sharing updates about DeepSeek-V3.1 and how to use it in the framework. [video] [documentation]. 🌟 Benchmark Performance is built on open-source models and lightweight tools, demonstrating strong results on challenging deep search and tool use benchmarks. • **WebWalkerQA**: Achieved 60.71% accuracy with ， using new released can further improve to 71.47%, setting a new SOTA performance. • **GAIA**: Achieved 72.8% pass@1 on the text-only validation subset using (including models used within tools). We are actively extending evaluation to the full GAIA benchmark with multimodal tools, and will release the trajectories in the near future. Stay tuned! ✨ 💡 Examples Click on the images to view detailed videos. Data Analysis Analyzes a CSV file and generates an HTML report. File Management Renames and categorizes local files for the user. Wide Research Gathers extensive information to generate a comprehensive report, replicating the functionality of Manus. Paper Analysis Parses a given paper, performs analysis, and compiles related literature to produce a final result. RAG A RAG example by integration with RAGFlow service. PPT Generation An example that generate PPT file according to given content. > [!NOTE] > See the directory and documentation for more details. 🤖 Automatic Tool and Agent Generation A standout feature of is its ability to **automatically generate tools alongside agent configurations**. Other frameworks often make you hand-code functions or hand-craft prompts before an agent can even run. Here, you simply describe the task: the built-in meta-agent interviews yo…