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AgentScope: Agent-Oriented Programming for Building LLM Applications

✨ Why AgentScope?

Easy for beginners, powerful for experts.

• 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.
• Realtime Steering: Interrupt the agent at ANY time, and customize the handling.
• Model Agnostic: Programming once, run with all models.
• LEGO-style Agent Building: All components are modular and independent.
• Multi-Agent Oriented: Designed for multi-agent, explicit message passing and workflow orchestration, NO deep encapsulation.
• Highly Customizable: Tools, prompt, agent, workflow, third-party libs & visualization, customization is encouraged everywhere.
• Developer-friendly: Low-code development, visual tracing & monitoring. From developing to deployment, all in one place.

Quick overview of AgentScope's new features in v1.0:

Module	Feature	Tutorial
model	Support async invocation	Model
	Support reasoning model
	Support streaming/non-streaming returns
	Support tools API
tool	Support async/sync tool functions	Tool
	Support streaming/non-streaming returns
	Support user interruption
	Support post-processing
	Support group-wise tool management
	Support agent-controlled tools management
MCP	Support streamable HTTP/SSE/StdIO transport	MCP
	Support client- & function-level fine-grained control
agent	Support async execution
	Support parallel tool calls
	Support realtime steering interruption and customized handling
	Support automatic state management
	Support agent-controlled long-term memory
	Support agent hooks
tracing	Support tracing model, agent, tool	Tracing
	Support connecting to third-party tracing platforms (e.g. Arize-Phoenix, Langfuse)
memory	Support long-term memory	Memory
session	Provide session/application-level state management	Session
evaluation	Provide distributed and parallel evaluation	Evaluation
formatter	Support multi-agent prompt formatting with tools API	Prompt Formatter
...

📢 News

• [2025-08] The new tutorial of v1 is online now! Check out the tutorial for more details.
• [2025-08] 🎉🎉 AgentScope v1 is released now! This version fully embraces the asynchronous execution, providing many new features and improvements. Check out changelog for detailed changes.

💬 Contact

Welcome to join our community on

Discord	DingTalk

🚀 Quickstart

💻 Installation

AgentScope requires Python 3.10 or higher.

🛠️ From source

# Pull the source code from GitHub
git clone -b main https://github.com/agentscope-ai/agentscope.git

# Install the package in editable mode
cd agentscope
pip install -e .

📦 From PyPi

pip install agentscope

👋 Hello AgentScope!

Start with a conversation between user and a ReAct agent 🤖 named "Friday"!

from agentscope.agent import ReActAgent, UserAgent
from agentscope.model import DashScopeChatModel
from agentscope.formatter import DashScopeChatFormatter
from agentscope.memory import InMemoryMemory
from agentscope.tool import Toolkit, execute_python_code, execute_shell_command
import os, asyncio


async def main():
    toolkit = Toolkit()
    toolkit.register_tool_function(execute_python_code)
    toolkit.register_tool_function(execute_shell_command)

    agent = ReActAgent(
        name="Friday",
        sys_prompt="You're a helpful assistant named Friday.",
        model=DashScopeChatModel(
            model_name="qwen-max",
            api_key=os.environ["DASHSCOPE_API_KEY"],
            stream=True,
        ),
        memory=InMemoryMemory(),
        formatter=DashScopeChatFormatter(),
        toolkit=toolkit,
    )

    user = UserAgent(name="user")

    msg = None
    while True:
        msg = await agent(msg)
        msg = await user(msg)
        if msg.get_text_content() == "exit":
            break

asyncio.run(main())

📖 Documentation

• Tutorial
  • Installation
  • Key Concepts
  • Create Message
  • ReAct Agent
• Workflow
  • Conversation
  • Multi-Agent Debate
  • Concurrent Agents
  • Routing
  • Handoffs
• FAQ
  • FAQ
• Task Guides
  • Model
  • Prompt Formatter
  • Tool
  • Memory
  • Long-Term Memory
  • Agent
  • State/Session Management
  • Agent Hooks
  • MCP
  • AgentScope Studio
  • Tracing
  • Evaluation
  • Embedding
  • Token
• API
  • API Docs

💻 AgentScope Studio

Use the following command to install and start AgentScope Studio, to trace and visualize your agent application.

npm install -g @agentscope/studio

as_studio

⚖️ 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: A Flexible yet Robust Multi-Agent Platform

@article{agentscope,
    author  = {Dawei Gao and
               Zitao Li and
               Xuchen Pan and
               Weirui Kuang and
               Zhijian Ma and
               Bingchen Qian and
               Fei Wei and
               Wenhao Zhang and
               Yuexiang Xie and
               Daoyuan Chen and
               Liuyi Yao and
               Hongyi Peng and
               Ze Yu Zhang and
               Lin Zhu and
               Chen Cheng and
               Hongzhu Shi and
               Yaliang Li and
               Bolin Ding and
               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: