agentscope 2.0.6

What is AgentScope 2.0?

AgentScope 2.0 is a production-ready, easy-to-use agent framework with essential abstractions that keep up with rising model capability.

We design for increasingly agentic LLMs. Our approach leverages the models' reasoning and tool use abilities rather than constraining them with strict prompts and opinionated orchestrations.

News

• [2026-08] INTE: Feishu (Lark) and Discord channels supported. Feishu | Discord
• [2026-08] FEAT: Channels supported — connect agents to IM platforms in agent service. Example | Docs
• [2026-08] INTE: GitHub MCP Registry and ClawHub supported as built-in hubs. Example | Docs
• [2026-08] FEAT: MCP & Skill Hub supported — browse a hub, install into your library, add to a workspace. Example | Docs
• [2026-07] INTE: Daytona-based workspace/sandbox supported. Docs
• [2026-07] INTE: K8s, OpenSandbox-based workspace/sandbox supported. Docs
• [2026-07] INTE: ReMe long-term memory supported. Example | Docs
• [2026-06] FEAT: Agentic Memory supported. Example | Docs
• [2026-06] FEAT: Distributed & Multi-Tenancy & Multi-Session RAG service supported. Docs
• [2026-06] FEAT: RAG supported. Example | Docs

More news →

Community

Welcome to join our community on

Discord	DingTalk

Quickstart

Installation

AgentScope requires Python 3.11 or higher.

From PyPI

uv pip install agentscope

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

uv pip install -e .

Agent

The SDK layer — compose an agent from a rich set of building blocks:

Start your first agent with AgentScope 2.0:

from agentscope.agent import Agent
from agentscope.tool import Toolkit, Bash, Grep, Glob, Read, Write, Edit
from agentscope.credential import DashScopeCredential
from agentscope.model import DashScopeChatModel
from agentscope.message import UserMsg
from agentscope.event import EventType

import os, asyncio


async def main() -> None:
    agent = Agent(
        name="Friday",
        system_prompt="You're a helpful assistant named Friday.",
        model=DashScopeChatModel(
            credential=DashScopeCredential(
              api_key=os.environ["DASHSCOPE_API_KEY"]
            ),
            model="qwen3.6-plus",
        ),
        toolkit=Toolkit(
            tools=[
                Bash(),
                Grep(),
                Glob(),
                Read(),
                Write(),
                Edit(),
            ]
        ),
    )

    async for evt in agent.reply_stream(UserMsg("Tony", "Hi, Friday!")):
        # Handle the event stream, e.g., print the message, update UI, etc.
        match evt.type:
            case EventType.REPLY_START:
                ...
            case EventType.MODEL_CALL_START:
                ...
            case EventType.TEXT_BLOCK_START:
                ...
            case EventType.TEXT_BLOCK_DELTA:
                ...
            case EventType.TEXT_BLOCK_END:
                ...

            # Handle other event types

asyncio.run(main())

Agent Service — All You Need to Build Your App

AgentScope ships a batteries-included agent service — a FastAPI backend with a pre-built Web UI (examples/web_ui) that turns your agents into a multi-tenant, multi-session application, with rich capabilities out of the box:

Everything above is composable, so you can assemble your own application on top of the service with minimal glue code.

Agent team — a leader agent spawns workers and coordinates them through the built-in team tools.

Task planning — the agent breaks complex work into a tracked plan and updates it as it goes.

Permission control in bypass mode — the agent runs end-to-end without pausing for tool-call confirmations.

Background task offloading — a long-running tool moves to the background; its result later wakes the agent up and the conversation resumes.

Run the following commands to start the agent service backend and the web UI:

git clone -b main https://github.com/agentscope-ai/agentscope.git
cd agentscope/examples/agent_service

# start the agent service backend
python main.py

Then open another terminal to start the web UI:

cd agentscope/examples/web_ui

# start the webui
pnpm install
pnpm dev

Contributing

We welcome contributions from the community! Please refer to our 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

• AgentScope: A Flexible yet Robust Multi-Agent Platform

@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: