548 lines
25 KiB
Plaintext
548 lines
25 KiB
Plaintext
Metadata-Version: 2.4
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Name: agentscope
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Version: 1.0.7
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Summary: AgentScope: A Flexible yet Robust Multi-Agent Platform.
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Author-email: SysML team of Alibaba Tongyi Lab <gaodawei.gdw@alibaba-inc.com>
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License-Expression: Apache-2.0
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Project-URL: Homepage, https://github.com/agentscope-ai/agentscope
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Project-URL: Documentation, https://doc.agentscope.io/
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Project-URL: Repository, https://github.com/agentscope-ai/agentscope
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Keywords: deep-learning,multi agents,agents
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Classifier: Development Status :: 4 - Beta
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.10
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Classifier: Operating System :: OS Independent
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Classifier: Intended Audience :: Developers
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Classifier: Intended Audience :: Science/Research
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Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
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Requires-Python: >=3.10
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Description-Content-Type: text/markdown
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License-File: LICENSE
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Requires-Dist: aioitertools
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Requires-Dist: anthropic
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Requires-Dist: dashscope
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Requires-Dist: docstring_parser
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Requires-Dist: json5
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Requires-Dist: json_repair
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Requires-Dist: mcp>=1.13
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Requires-Dist: numpy
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Requires-Dist: openai
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Requires-Dist: python-datauri
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Requires-Dist: opentelemetry-api
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Requires-Dist: opentelemetry-sdk
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Requires-Dist: opentelemetry-exporter-otlp
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Requires-Dist: python-socketio
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Requires-Dist: shortuuid
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Requires-Dist: tiktoken
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Requires-Dist: sounddevice
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Provides-Extra: full
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Requires-Dist: ollama>=0.5.4; extra == "full"
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Requires-Dist: google-genai; extra == "full"
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Requires-Dist: Pillow; extra == "full"
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Requires-Dist: transformers; extra == "full"
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Requires-Dist: jinja2; extra == "full"
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Requires-Dist: ray; extra == "full"
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Requires-Dist: mem0ai; extra == "full"
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Requires-Dist: packaging; extra == "full"
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Requires-Dist: pypdf; extra == "full"
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Requires-Dist: python-docx; extra == "full"
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Requires-Dist: nltk; extra == "full"
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Requires-Dist: qdrant-client; extra == "full"
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Provides-Extra: dev
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Requires-Dist: agentscope[full]; extra == "dev"
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Requires-Dist: pre-commit; extra == "dev"
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Requires-Dist: pytest; extra == "dev"
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Requires-Dist: sphinx-gallery; extra == "dev"
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Requires-Dist: furo; extra == "dev"
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Requires-Dist: myst_parser; extra == "dev"
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Requires-Dist: matplotlib; extra == "dev"
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Requires-Dist: pymilvus[milvus_lite]; extra == "dev"
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Requires-Dist: reme-ai>=0.1.10.7; python_full_version >= "3.12" and extra == "dev"
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Dynamic: license-file
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[**中文主页**](https://github.com/agentscope-ai/agentscope/blob/main/README_zh.md) | [**Tutorial**](https://doc.agentscope.io/) | [**Roadmap**](https://github.com/agentscope-ai/agentscope/blob/main/docs/roadmap.md) | [**FAQ**](https://doc.agentscope.io/tutorial/faq.html)
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<p align="center">
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<img
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src="https://img.alicdn.com/imgextra/i1/O1CN01nTg6w21NqT5qFKH1u_!!6000000001621-55-tps-550-550.svg"
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alt="AgentScope Logo"
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width="200"
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/>
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</p>
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<h2 align="center">AgentScope: Agent-Oriented Programming for Building LLM Applications</h2>
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<p align="center">
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<a href="https://arxiv.org/abs/2402.14034">
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<img
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src="https://img.shields.io/badge/cs.MA-2402.14034-B31C1C?logo=arxiv&logoColor=B31C1C"
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alt="arxiv"
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/>
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</a>
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<a href="https://pypi.org/project/agentscope/">
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<img
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src="https://img.shields.io/badge/python-3.10+-blue?logo=python"
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alt="pypi"
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/>
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</a>
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<a href="https://pypi.org/project/agentscope/">
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<img
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src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fpypi.org%2Fpypi%2Fagentscope%2Fjson&query=%24.info.version&prefix=v&logo=pypi&label=version"
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alt="pypi"
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/>
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</a>
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<a href="https://doc.agentscope.io/">
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<img
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src="https://img.shields.io/badge/Docs-English%7C%E4%B8%AD%E6%96%87-blue?logo=markdown"
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alt="docs"
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/>
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</a>
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<a href="https://agentscope.io/">
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<img
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src="https://img.shields.io/badge/GUI-AgentScope_Studio-blue?logo=look&logoColor=green&color=dark-green"
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alt="workstation"
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/>
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</a>
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<a href="./LICENSE">
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<img
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src="https://img.shields.io/badge/license-Apache--2.0-black"
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alt="license"
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/>
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</a>
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</p>
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<p align="center">
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<img src="https://trendshift.io/api/badge/repositories/10079" alt="modelscope%2Fagentscope | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/>
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</p>
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## ✨ Why AgentScope?
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Easy for beginners, powerful for experts.
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<p align="center">
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<img src="./assets/images/agentscope_v1_0822.png" alt="AgentScope Framework" width="80%"/>
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</p>
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- **Transparent to Developers**: Transparent is our **FIRST principle**. Prompt engineering, API invocation, agent building, workflow orchestration, all are visible and controllable for developers. No deep encapsulation or implicit magic.
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- **[Realtime Steering](https://doc.agentscope.io/tutorial/task_agent.html#realtime-steering)**: Native support for realtime interruption and customized handling.
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- **More Agentic**: Support [agentic tools management](https://doc.agentscope.io/tutorial/task_tool.html), [agentic long-term memory control](https://doc.agentscope.io/tutorial/task_long_term_memory.html) and agentic RAG, etc.
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- **Model Agnostic**: Programming once, run with all models.
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- **LEGO-style Agent Building**: All components are **modular** and **independent**.
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- **Multi-Agent Oriented**: Designed for **multi-agent**, **explicit** message passing and workflow orchestration, NO deep encapsulation.
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- **Highly Customizable**: Tools, prompt, agent, workflow, third-party libs & visualization, customization is encouraged everywhere.
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Quick overview of important features in **AgentScope 1.0**:
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| Module | Feature | Tutorial |
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|------------|------------------------------------------------------------------------------------|-------------------------------------------------------------------------|
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| model | Support async invocation | [Model](https://doc.agentscope.io/tutorial/task_model.html) |
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| | Support reasoning model | |
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| | Support streaming/non-streaming returns | |
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| tool | Support async/sync tool functions | [Tool](https://doc.agentscope.io/tutorial/task_tool.html) |
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| | Support streaming/non-streaming returns | |
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| | Support user interruption | |
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| | Support post-processing | |
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| | Support group-wise tools management | |
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| | Support agentic tools management by meta tool | |
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| MCP | Support streamable HTTP/SSE/StdIO transport | [MCP](https://doc.agentscope.io/tutorial/task_mcp.html) |
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| | Support both **stateful** and **stateless** mode MCP Client | |
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| | Support client- & function-level fine-grained control | |
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| agent | Support async execution | |
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| | Support parallel tool calls | |
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| | Support realtime steering interruption and customized handling | |
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| | Support automatic state management | |
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| | Support agent-controlled long-term memory | |
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| | Support agent hooks | |
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| tracing | Support OpenTelemetry-based tracing in LLM, tools, agent and formatter | [Tracing](https://doc.agentscope.io/tutorial/task_tracing.html) |
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| | Support connecting to third-party tracing platforms (e.g. Arize-Phoenix, Langfuse) | |
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| memory | Support long-term memory | [Memory](https://doc.agentscope.io/tutorial/task_long_term_memory.html) |
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| session | Provide session/application-level automatic state management | [Session](https://doc.agentscope.io/tutorial/task_state.html) |
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| evaluation | Provide distributed and parallel evaluation | [Evaluation](https://doc.agentscope.io/tutorial/task_eval.html) |
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| formatter | Support multi-agent prompt formatting with tools API | [Prompt Formatter](https://doc.agentscope.io/tutorial/task_prompt.html) |
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| | Support truncation-based formatter strategy | |
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| plan | Support ReAct-based long-term planning | [Plan](https://doc.agentscope.io/tutorial/task_plan.html) |
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| | Support manual plan specification | |
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| RAG | Support agentic RAG | [RAG](https://doc.agentscope.io/tutorial/task_rag.html) |
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| | Support multimodal RAG | |
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| ... | | |
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## 📢 News
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- **[2025-11]** [Contributing Guide](./CONTRIBUTING.md) is online now! Welcome to contribute to AgentScope.
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- **[2025-09]** **RAG** module in AgentScope 1.0 is online now! Check our [tutorial](https://doc.agentscope.io/tutorial/task_rag.html) and [example](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/rag) for more details.
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- **[2025-09]** **Voice agent** is online! `ReActAgent` supports Qwen-Omni and GPT-Audio natively now, check our [new example](https://github.com/agentscope-ai/agentscope/tree/main/examples/agent/voice_agent) and [roadmap](https://github.com/agentscope-ai/agentscope/issues/773).
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- **[2025-09]** A new powerful 📋**Plan** module is online now! Check out the [tutorial](https://doc.agentscope.io/tutorial/task_plan.html) for more details.
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- **[2025-09]** **AgentScope Runtime** is open-sourced now! Enabling effective agent deployment with sandboxed tool execution for production-ready AI applications. Check out the [GitHub repo](https://github.com/agentscope-ai/agentscope-runtime).
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- **[2025-09]** **AgentScope Studio** is open-sourced now! Check out the [GitHub repo](https://github.com/agentscope-ai/agentscope-studio).
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- **[2025-08]** The new tutorial of v1 is online now! Check out the [tutorial](https://doc.agentscope.io) for more details.
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- **[2025-08]** 🎉🎉 AgentScope v1 is released now! This version fully embraces the asynchronous execution, providing many new features and improvements. Check out [changelog](https://github.com/agentscope-ai/agentscope/blob/main/docs/changelog.md) for detailed changes.
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## 💬 Contact
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Welcome to join our community on
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| [Discord](https://discord.gg/eYMpfnkG8h) | DingTalk |
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|----------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------|
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| <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/i1/O1CN01LxzZha1thpIN2cc2E_!!6000000005934-2-tps-497-477.png" width="100" height="100"> |
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<!-- START doctoc generated TOC please keep comment here to allow auto update -->
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<!-- DON'T EDIT THIS SECTION, INSTEAD RE-RUN doctoc TO UPDATE -->
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## 📑 Table of Contents
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- [🚀 Quickstart](#-quickstart)
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- [💻 Installation](#-installation)
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- [🛠️ From source](#-from-source)
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- [🔄 Using uv (recommended for faster installs)](#-using-uv-recommended-for-faster-installs)
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- [📦 From PyPi](#-from-pypi)
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- [📝 Example](#-example)
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- [👋 Hello AgentScope!](#-hello-agentscope)
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- [🎯 Realtime Steering](#-realtime-steering)
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- [🛠️ Fine-Grained MCP Control](#-fine-grained-mcp-control)
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- [🧑🤝🧑 Multi-Agent Conversation](#-multi-agent-conversation)
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- [💻 AgentScope Studio](#-agentscope-studio)
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- [📖 Documentation](#-documentation)
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- [🤝 Contributing](#-contributing)
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- [⚖️ License](#-license)
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- [📚 Publications](#-publications)
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- [✨ Contributors](#-contributors)
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<!-- END doctoc generated TOC please keep comment here to allow auto update -->
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## 🚀 Quickstart
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### 💻 Installation
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> AgentScope requires **Python 3.10** or higher.
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#### 🛠️ From source
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```bash
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# Pull the source code from GitHub
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git clone -b main https://github.com/agentscope-ai/agentscope.git
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# Install the package in editable mode
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cd agentscope
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pip install -e .
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```
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#### 🔄 Using uv (recommended for faster installs)
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[uv](https://github.com/astral-sh/uv) is a fast Python package installer and resolver, written in Rust.
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```bash
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# Clone the repository
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git clone -b main https://github.com/agentscope-ai/agentscope.git
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cd agentscope
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# Install with uv
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uv pip install -e .
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```
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#### 📦 From PyPi
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```bash
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pip install agentscope
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```
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Or with uv:
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```bash
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uv pip install agentscope
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```
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## 📝 Example
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### 👋 Hello AgentScope!
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Start with a conversation between user and a ReAct agent 🤖 named "Friday"!
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```python
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from agentscope.agent import ReActAgent, UserAgent
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from agentscope.model import DashScopeChatModel
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from agentscope.formatter import DashScopeChatFormatter
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from agentscope.memory import InMemoryMemory
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from agentscope.tool import Toolkit, execute_python_code, execute_shell_command
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import os, asyncio
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async def main():
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toolkit = Toolkit()
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toolkit.register_tool_function(execute_python_code)
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toolkit.register_tool_function(execute_shell_command)
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agent = ReActAgent(
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name="Friday",
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sys_prompt="You're a helpful assistant named Friday.",
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model=DashScopeChatModel(
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model_name="qwen-max",
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api_key=os.environ["DASHSCOPE_API_KEY"],
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stream=True,
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),
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memory=InMemoryMemory(),
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formatter=DashScopeChatFormatter(),
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toolkit=toolkit,
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)
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user = UserAgent(name="user")
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msg = None
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while True:
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msg = await agent(msg)
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msg = await user(msg)
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if msg.get_text_content() == "exit":
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break
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asyncio.run(main())
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```
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### 🎯 Realtime Steering
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Natively support **realtime interruption** in ``ReActAgent`` with robust memory preservation, and convert interruption into an **observable event** for agent to seamlessly resume conversations.
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<p align="center">
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<img src="./assets/images/realtime_steering_zh.gif" alt="Realtime Steering" width="49%"/>
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<img src="./assets/images/realtime_steering_en.gif" alt="Realtime Steering" width="49%"/>
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</p>
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### 🛠️ Fine-Grained MCP Control
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Developers can obtain the MCP tool as a **local callable function**, and use it anywhere (e.g. call directly, pass to agent, wrap into a more complex tool, etc.)
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```python
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from agentscope.mcp import HttpStatelessClient
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from agentscope.tool import Toolkit
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import os
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async def fine_grained_mcp_control():
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# Initialize the MCP client
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client = HttpStatelessClient(
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name="gaode_mcp",
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transport="streamable_http",
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url=f"https://mcp.amap.com/mcp?key={os.environ['GAODE_API_KEY']}",
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)
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# Obtain the MCP tool as a **local callable function**, and use it anywhere
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func = await client.get_callable_function(func_name="maps_geo")
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# Option 1: Call directly
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await func(address="Tiananmen Square", city="Beijing")
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# Option 2: Pass to agent as a tool
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toolkit = Toolkit()
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toolkit.register_tool_function(func)
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# ...
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# Option 3: Wrap into a more complex tool
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# ...
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```
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### 🧑🤝🧑 Multi-Agent Conversation
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AgentScope provides ``MsgHub`` and pipelines to streamline multi-agent conversations, offering efficient message routing and seamless information sharing
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```python
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from agentscope.pipeline import MsgHub, sequential_pipeline
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from agentscope.message import Msg
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import asyncio
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async def multi_agent_conversation():
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# Create agents
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agent1 = ...
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agent2 = ...
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agent3 = ...
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agent4 = ...
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# Create a message hub to manage multi-agent conversation
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async with MsgHub(
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participants=[agent1, agent2, agent3],
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announcement=Msg("Host", "Introduce yourselves.", "assistant")
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) as hub:
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# Speak in a sequential manner
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await sequential_pipeline([agent1, agent2, agent3])
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# Dynamic manage the participants
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hub.add(agent4)
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hub.delete(agent3)
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await hub.broadcast(Msg("Host", "Goodbye!", "assistant"))
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asyncio.run(multi_agent_conversation())
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```
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### 💻 AgentScope Studio
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Use the following command to install and start AgentScope Studio, to trace and visualize your agent application.
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```bash
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npm install -g @agentscope/studio
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as_studio
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```
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<p align="center">
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<img
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src="./assets/images/home.gif"
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width="49%"
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alt="home"
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/>
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<img
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src="./assets/images/projects.gif"
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width="49%"
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alt="projects"
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/>
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<img
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src="./assets/images/runtime.gif"
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width="49%"
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alt="runtime"
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/>
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<img
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src="./assets/images/friday.gif"
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width="49%"
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alt="friday"
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/>
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</p>
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## 📖 Documentation
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- Tutorial
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- [Installation](https://doc.agentscope.io/tutorial/quickstart_installation.html)
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- [Key Concepts](https://doc.agentscope.io/tutorial/quickstart_key_concept.html)
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- [Create Message](https://doc.agentscope.io/tutorial/quickstart_message.html)
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- [ReAct Agent](https://doc.agentscope.io/tutorial/quickstart_agent.html)
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- Workflow
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- [Conversation](https://doc.agentscope.io/tutorial/workflow_conversation.html)
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- [Multi-Agent Debate](https://doc.agentscope.io/tutorial/workflow_multiagent_debate.html)
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- [Concurrent Agents](https://doc.agentscope.io/tutorial/workflow_concurrent_agents.html)
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- [Routing](https://doc.agentscope.io/tutorial/workflow_routing.html)
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- [Handoffs](https://doc.agentscope.io/tutorial/workflow_handoffs.html)
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- FAQ
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- [FAQ](https://doc.agentscope.io/tutorial/faq.html)
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- Task Guides
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- [Model](https://doc.agentscope.io/tutorial/task_model.html)
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- [Prompt Formatter](https://doc.agentscope.io/tutorial/task_prompt.html)
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- [Tool](https://doc.agentscope.io/tutorial/task_tool.html)
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- [Memory](https://doc.agentscope.io/tutorial/task_memory.html)
|
|
- [Long-Term Memory](https://doc.agentscope.io/tutorial/task_long_term_memory.html)
|
|
- [Agent](https://doc.agentscope.io/tutorial/task_agent.html)
|
|
- [Pipeline](https://doc.agentscope.io/tutorial/task_pipeline.html)
|
|
- [Plan](https://doc.agentscope.io/tutorial/task_plan.html)
|
|
- [State/Session Management](https://doc.agentscope.io/tutorial/task_state.html)
|
|
- [Agent Hooks](https://doc.agentscope.io/tutorial/task_hook.html)
|
|
- [MCP](https://doc.agentscope.io/tutorial/task_mcp.html)
|
|
- [AgentScope Studio](https://doc.agentscope.io/tutorial/task_studio.html)
|
|
- [Tracing](https://doc.agentscope.io/tutorial/task_tracing.html)
|
|
- [Evaluation](https://doc.agentscope.io/tutorial/task_eval.html)
|
|
- [Embedding](https://doc.agentscope.io/tutorial/task_embedding.html)
|
|
- [Token](https://doc.agentscope.io/tutorial/task_token.html)
|
|
- API
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|
- [API Docs](https://doc.agentscope.io/api/agentscope.html)
|
|
- [Examples](https://github.com/agentscope-ai/agentscope/tree/main/examples)
|
|
- Functionality
|
|
- [MCP](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/mcp)
|
|
- [Plan](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/plan)
|
|
- [Structured Output](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/structured_output)
|
|
- [RAG](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/rag)
|
|
- [Long-Term Memory](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/long_term_memory)
|
|
- [Session with SQLite](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/session_with_sqlite)
|
|
- [Stream Printing Messages](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/stream_printing_messages)
|
|
- Agent
|
|
- [ReAct Agent](https://github.com/agentscope-ai/agentscope/tree/main/examples/agent/react_agent)
|
|
- [Voice Agent](https://github.com/agentscope-ai/agentscope/tree/main/examples/agent/voice_agent)
|
|
- [Deep Research Agent](https://github.com/agentscope-ai/agentscope/tree/main/examples/agent/deep_research_agent)
|
|
- [Browser-use Agent](https://github.com/agentscope-ai/agentscope/tree/main/examples/agent/browser_agent)
|
|
- [Meta Planner Agent](https://github.com/agentscope-ai/agentscope/tree/main/examples/agent/meta_planner_agent)
|
|
- Game
|
|
- [Nine-player Werewolves](https://github.com/agentscope-ai/agentscope/tree/main/examples/game/werewolves)
|
|
- Workflow
|
|
- [Multi-agent Debate](https://github.com/agentscope-ai/agentscope/tree/main/examples/workflows/multiagent_debate)
|
|
- [Multi-agent Conversation](https://github.com/agentscope-ai/agentscope/tree/main/examples/workflows/multiagent_conversation)
|
|
- [Multi-agent Concurrent](https://github.com/agentscope-ai/agentscope/tree/main/examples/workflows/multiagent_concurrent)
|
|
- Evaluation
|
|
- [ACEBench](https://github.com/agentscope-ai/agentscope/tree/main/examples/evaluation/ace_bench)
|
|
- Training
|
|
- [Reinforcement learning (RL) with Trinity-RFT](https://github.com/agentscope-ai/agentscope/tree/main/examples/training/react_agent)
|
|
|
|
|
|
## 🤝 Contributing
|
|
|
|
We welcome contributions from the community! Please refer to our [CONTRIBUTING.md](./CONTRIBUTING.md) for guidelines
|
|
on how to contribute.
|
|
|
|
## ⚖️ License
|
|
|
|
AgentScope is released under Apache License 2.0.
|
|
|
|
## 📚 Publications
|
|
|
|
If you find our work helpful for your research or application, please cite our papers.
|
|
|
|
- [AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications](https://arxiv.org/abs/2508.16279)
|
|
|
|
- [AgentScope: A Flexible yet Robust Multi-Agent Platform](https://arxiv.org/abs/2402.14034)
|
|
|
|
```
|
|
@article{agentscope_v1,
|
|
author = {
|
|
Dawei Gao,
|
|
Zitao Li,
|
|
Yuexiang Xie,
|
|
Weirui Kuang,
|
|
Liuyi Yao,
|
|
Bingchen Qian,
|
|
Zhijian Ma,
|
|
Yue Cui,
|
|
Haohao Luo,
|
|
Shen Li,
|
|
Lu Yi,
|
|
Yi Yu,
|
|
Shiqi He,
|
|
Zhiling Luo,
|
|
Wenmeng Zhou,
|
|
Zhicheng Zhang,
|
|
Xuguang He,
|
|
Ziqian Chen,
|
|
Weikai Liao,
|
|
Farruh Isakulovich Kushnazarov,
|
|
Yaliang Li,
|
|
Bolin Ding,
|
|
Jingren Zhou}
|
|
title = {AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications},
|
|
journal = {CoRR},
|
|
volume = {abs/2508.16279},
|
|
year = {2025},
|
|
}
|
|
|
|
@article{agentscope,
|
|
author = {
|
|
Dawei Gao,
|
|
Zitao Li,
|
|
Xuchen Pan,
|
|
Weirui Kuang,
|
|
Zhijian Ma,
|
|
Bingchen Qian,
|
|
Fei Wei,
|
|
Wenhao Zhang,
|
|
Yuexiang Xie,
|
|
Daoyuan Chen,
|
|
Liuyi Yao,
|
|
Hongyi Peng,
|
|
Zeyu Zhang,
|
|
Lin Zhu,
|
|
Chen Cheng,
|
|
Hongzhu Shi,
|
|
Yaliang Li,
|
|
Bolin Ding,
|
|
Jingren Zhou}
|
|
title = {AgentScope: A Flexible yet Robust Multi-Agent Platform},
|
|
journal = {CoRR},
|
|
volume = {abs/2402.14034},
|
|
year = {2024},
|
|
}
|
|
```
|
|
|
|
## ✨ Contributors
|
|
|
|
All thanks to our contributors:
|
|
|
|
<a href="https://github.com/agentscope-ai/agentscope/graphs/contributors">
|
|
<img src="https://contrib.rocks/image?repo=agentscope-ai/agentscope&max=999&columns=12&anon=1" />
|
|
</a>
|