agentscope-ai/agentscope-samples

Última actividad de origen registrada: 2 de febrero de 2026 a las 05:57

Catálogo de SkillsMP actualizado: 9 de noviembre de 2026 a las 14:22

skills recopiladas: 5

Estrellas en GitHub: 351
Forks en GitHub: 96

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# AgentScope Samples [![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/agentscope-ai/agentscope-samples/blob/main/LICENSE) [![Python](https://img.shields.io/badge/python-%3E%3D3.10-blue)](https://www.python.org/) [![DeepWiki](https://img.shields.io/badge/DeepWiki-agentscope--samples-navy.svg?logo=data:image/png;base64,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)](https://deepwiki.com/agentscope-ai/agentscope-samples) [![Docs](https://img.shields.io/badge/docs-AgentScope-blue)](https://doc.agentscope.io/) [![Runtime Docs](https://img.shields.io/badge/docs-AgentScope%20Runtime-red)](https://runtime.agentscope.io/) [![Last Commit](https://img.shields.io/github/last-commit/agentscope-ai/agentscope-samples)](https://github.com/agentscope-ai/agentscope-samples) [[中文README]](README_zh.md) 🎯 **Kickstart Your Agent Journey!** This is a repository that **brings together a variety of ready-to-run Python agent examples**, ranging from command-line mini-tools to **full-stack deployable applications**. ## 🌟 What is AgentScope? **[AgentScope](https://github.com/agentscope-ai/agentscope)** is a **multi-agent framework** that lets you rapidly build **LLM-based intelligent applications**: > Learn more in the [AgentScope Documentation](https://doc.agentscope.io/) - 🧠 Define agents and integrate tools - 📡 Manage context and conversations - 🤝 Orchestrate collaboration among multiple agents to accomplish tasks **[AgentScope-Runtime](https://github.com/agentscope-ai/agentscope-runtime)** is the runtime framework that enables you to deploy agents as API services: > Learn more in the [AgentScope Runtime Documentation](https://runtime.agentscope.io/) 1. 🔄 **Scalable deployment management for multiple agents** 2. 🛡️ **Secure sandbox execution for tools** ## ⚡ Getting Started 📌 **Before running an example**, please check the corresponding `README.md` for installation and execution instructions. > - All examples are built with **Python**. > - Examples are organized by **functionality** and **usage scenario**. > - Some examples use **AgentScope** only. > - Some examples use **both AgentScope and AgentScope Runtime** to implement **deployable full-stack applications with frontend + backend**. > - Full-stack runtime versions have folder names ending with **`_fullstack_runtime`**. ## 🌳 Repository Structure ```bash ├── alias/ # Agent to solve real-world problems ├── browser_use/ │ ├── agent_browser/ # Pure Python browser agent │ ├── browser_use_agent_pro/ # Advanced pure python browser agent │ └── browser_use_fullstack_runtime/ # Full-stack runtime version with frontend/backend │ ├── deep_research/ │ ├── agent_deep_research/ # Pure Python multi-agent research │ └── qwen_langgraph_search_fullstack_runtime/ # Full-stack runtime-enabled research app │ ├── games/ │ └── game_werewolves/ # Role-based social deduction game │ ├── conversational_agents/ │ ├── chatbot/ # Chatbot application │ ├── chatbot_fullstack_runtime/ # Runtime-powered chatbot with UI │ ├── multiagent_conversation/ # Multi-agent dialogue scenario │ └── multiagent_debate/ # Agents engaging in debates │ ├── evaluation/ │ └── ace_bench/ # Benchmarks and evaluation tools │ ├── data_juicer_agent/ # Data processing multi-agent system ├── tuner/ # Tune AgentScope applications using AgentScope Tuner │ ├── math_agent/ # A quick start example for tuning │ ├── frozen_lake/ # Teach an agent to play a game requiring multiple steps │ ├── learn_to_ask/ # Using LLM-as-a-judge to facilitate agent tuning │ ├── email_search/ # Enhance the tool use ability of your agent │ ├── werewolves/ # Enhance a multi-agent application │ └── data_augment/ # Data augmentation for tuning ├── sample_template/ # Template for new sample contributions └── README.md ``` ## 📌 Example List | Category | Example Folder | Uses AgentScope | Use AgentScope Runtime | Description | | ----------------------- |-------------------------------------------------------| --------------- | ------------ |--------------------------------------------------| | **Data Processing** | data_juicer_agent/ | ✅ | ❌ | Multi-agent data processing with Data-Juicer | | **Browser Use** | browser_use/agent_browser | ✅ | ❌ | Command-line browser automation using AgentScope | | | browser_use/browser_use_agent_pro | ✅ | ❌ | Advanced command-line Python browser agent using AgentScope | | | browser_use/browser_use_fullstack_runtime | ✅ | ✅ | Full-stack browser automation with UI & sandbox | | **Deep Research** | deep_research/agent_deep_research | ✅ | ❌ | Multi-agent research pipeline | | | deep_research/qwen_langgraph_search_fullstack_runtime | ❌ | ✅ | Full-stack deep research app | | **Games** | games/game_werewolves | ✅ | ❌ | Multi-agent roleplay game | | **Conversational Apps** | conversational_agents/chatbot_fullstack_runtime | ✅ | ✅ | Chatbot application with frontend/backend | | | conversational_agents/chatbot | ✅ | ❌ | | | | conversational_agents/multiagent_conversation | ✅ | ❌ | Multi-agent dialogue scenario | | | conversational_agents/multiagent_debate | ✅ | ❌ | Agents engaging in debates | | **Evaluation** | evaluation/ace_bench | ✅ | ❌ | Benchmarks with ACE Bench | | **General AI Agent** | alias/ | ✅ | ✅ | Agent application running in sandbox to solve diverse real-world problems | | **Financial Trading** | evotraders/ | ✅ | ❌ | Self-Evolving Multi-Agent Trading System | ## 🌈 Featured Examples ### 📊 DataJuicer Agent A powerful multi-agent data processing system that leverages Data-Juicer's 200+ operators for intelligent data processing: - **Intelligent Query**: Find suitable operators from 200+ data processing operators - **Automated Pipeline**: Generate Data-Juicer YAML configurations from natural language - **Custom Development**: Create domain-specific operators with AI assistance - **Multiple Retrieval Modes**: LLM-based and vector-based operator matching - **MCP Integration**: Native Model Context Protocol support 📖 **Documentation**: [English](data_juicer_agent/README.md) | [中文](data_juicer_agent/README_ZH.md) ### 🕵🏻 Alias-Agent *Alias-Agent* (short for *Alias*) is designed to serve as an intelligent assistant for tackle diverse and complicated real-world tasks, providing three operational modes for flexible task execution: - **Simple React**: Employs vanilla reasoning-acting loops to iteratively solve problems and execute tool calls. - **Planner-Worker**: Uses intelligent planning to decompose complex tasks into manageable subtasks, with dedicated worker agents handling each subtask independently. - **Built-in Agents**: Leverages specialized agents tailored for specific domains, including *Deep Research Agent* for comprehensive analysis and *Browser-use Agent* for web-based interactions. Beyond being a ready-to-use agent, we envision Alias as a foundational template that can be adapted to different scenarios. 📖 **Documentation**: [English](alias/README.md) | [中文](alias/README_ZH.md) ### 📈 EvoTraders *EvoTraders* is a financial trading agent framework that builds a trading system capable of continuous learning and evolution in real markets through multi-agent collaboration and memory systems. Key features include: - **Multi-Agent Collaboration**: A team of specialized analysts (Fundamentals, Technical, Sentiment, Valuation) and managers collaborating like a real trading team. - **Memory Enhancement & Evolution**: Agents reflect and summarize after trades using the ReMe memory framework, evolving their trading styles over time. - **Real-Time & Backtesting**: Supports both real-time market data integration for live trading and backtesting modes. - **Visualized Dashboard**: A comprehensive frontend to observe analysis processes, communication, and performance tracking. 📖 **Documentation**: [English](evotraders/README.md) | [中文](evotraders/README_zh.md) ## 🆘 Getting Help If you: - Need installation help - Encounter issues - Want to understand how a sample works Please: 1. Read the sample-specific `README.md`. 2. File a [GitHub Issue](https://github.com/agentscope-ai/agentscope-samples/issues). 3. Join the community discussions: | [Discord](https://discord.gg/eYMpfnkG8h) | DingTalk | | ------------------------------------------------------------ | ------------------------------------------------------------ | | <img src="https://gw.alicdn.com/imgextra/i1/O1CN01hhD1mu1Dd3BWVUvxN_!!6000000000238-2-tps-400-400.png" width="100" height="100"> | <img src="https://img.alicdn.com/imgextra/i4/O1CN014mhqFq1ZlgNuYjxrz_!!6000000003235-2-tps-400-400.png" width="100" height="100"> | ## 🤝 Contributing We welcome contributions such as: - Bug reports - New feature requests - Documentation improvements - Code contributions See the [CONTRIBUTING.md](CONTRIBUTING.md) for details. ## 📄 License This project is licensed under the **Apache 2.0 License** – see the [LICENSE](LICENSE) file for details. ## Contributors ✨  [![All Contributors](https://img.shields.io/badge/all_contributors-27-orange.svg?style=flat-square)](#contributors-)  Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/emoji-key/)):    <table> <tbody> <tr> <td align="center" valign="top" width="14.28%"><a href="http://weiruikuang.com"><img src="https://avatars.githubusercontent.com/u/39145382?v=4?s=100" width="100px;" alt="Weirui Kuang"/> Weirui Kuang</a> <a href="#maintenance-rayrayraykk" title="Maintenance">🚧</a> <a href="https://github.com/agentscope-ai/agentscope-samples/commits?author=rayrayraykk" title="Code">💻</a> <a href="https://github.com/agentscope-ai/agentscope-samples/pulls?q=is%3Apr+reviewed-by%3Arayrayraykk" title="Reviewed Pull Requests">👀</a> <a href="https://github.com/agentscope-ai/agentscope-samples/commits?author=rayrayraykk" title="Documentation">📖</a></td> <td align="center" valign="top" width="14.28%"><a href="https://github.com/Osier-Yi"><img src="https://avatars.githubusercontent.com/u/8287381?v=4?s=100" width="100px;" alt="Osier-Yi"/> Osier-Yi</a> <a href="#maintenance-Osier-Yi" title="Maintenance">🚧</a> <a 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src="https://raw.githubusercontent.com/all-contributors/all-contributors-cli/1b8533af435da9854653492b1327a23a4dbd0a10/assets/logo-small.svg"> <a href="https://all-contributors.js.org/docs/en/bot/usage">Add your contributions</a> </img> </td> </tr> </tfoot> </table>    This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!

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