AgentScope Logo

[**中文主页**](https://github.com/agentscope-ai/agentscope/blob/main/README_zh.md) | [**Documentation**](https://docs.agentscope.io/) | [**Roadmap**](https://github.com/orgs/agentscope-ai/projects/2/views/1)

arxiv pypi pypi discord docs license

agentscope-ai%2Fagentscope | Trendshift

## What is AgentScope 2.0? AgentScope 2.0 is a production-ready, easy-to-use agent framework with essential abstractions that work with rising model capability and built-in support for . - [**Event System** →](https://docs.agentscope.io/latest/en/building-blocks/message-and-event) A unified event bus to the frontend and human-in-the-loop support. - [**Permission System** →](https://docs.agentscope.io/latest/en/building-blocks/permission-system) Fine-grained, configurable control over tools and resources. - [**Multi-tenancy & Multi-session Service** →](https://docs.agentscope.io/latest/en/deploy/agent-service) Production-grade serving with isolation across tenants and sessions. - [**Workspace / Sandbox Support** →](https://docs.agentscope.io/latest/en/building-blocks/workspace) Run tools and code in isolated environments, with built-in backends for local, Docker, E2B, OpenSandbox, and Daytona. - [**Extensible Middleware System** →](https://docs.agentscope.io/latest/en/building-blocks/middleware) Composable hooks to customize and extend the agent's reasoning-acting loop. 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. agentscope ## News - **[2026-07] `INTE`:** Daytona-based workspace/sandbox supported. [Docs](https://docs.agentscope.io/latest/en/building-blocks/workspace) - **[2026-07] `INTE`:** K8s, OpenSandbox-based workspace/sandbox supported. [Docs](https://docs.agentscope.io/latest/en/building-blocks/workspace) - **[2026-07] `INTE`:** ReMe long-term memory supported. [Example](https://github.com/agentscope-ai/agentscope/tree/main/examples/long_term_memory/reme) | [Docs](https://docs.agentscope.io/latest/en/building-blocks/long-term-memory) - **[2026-06] `FEAT`:** Agentic Memory supported. [Example](https://github.com/agentscope-ai/agentscope/tree/main/examples/long_term_memory/agentic_memory) | [Docs](https://docs.agentscope.io/latest/en/building-blocks/long-term-memory) - **[2026-06] `FEAT`:** Distributed & Multi-Tenancy & Multi-Session RAG service supported. [Docs](https://docs.agentscope.io/latest/en/deploy/agent-team) - **[2026-06] `FEAT`:** RAG supported. [Example](https://github.com/agentscope-ai/agentscope/tree/main/examples/rag) | [Docs](https://docs.agentscope.io/latest/en/building-blocks/rag) - **[2026-06] `INTE`:** Mem0 supported. [Example](https://github.com/agentscope-ai/agentscope/tree/main/examples/long_term_memory) | [Docs](https://docs.agentscope.io/latest/en) - **[2026-06] `FEAT`:** Agent Team supported. [Example](https://github.com/agentscope-ai/agentscope/tree/main/examples/agent_service) | [Docs](https://docs.agentscope.io/latest/en/deploy/agent-team) - **[2026-05] `RELS`:** AgentScope 2.0 released! [Docs](https://docs.agentscope.io/) [More news →](./docs/NEWS.md) ## Community Welcome to join our community on | [Discord](https://discord.gg/eYMpfnkG8h) | DingTalk | |----------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------| | | | ## Quickstart ### Installation > AgentScope requires **Python 3.11** or higher. #### From PyPI ```bash uv pip install agentscope # or # pip install agentscope ``` #### From source ```bash # 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 . # or # pip install -e . ``` ## Hello AgentScope! Start your first agent with AgentScope 2.0: ```python 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()) ``` ## Hello Agent Service! An extensible FastAPI based **multi-tenancy**, **multi-session** agent service with pre-built Web UI in `examples/web_ui`
Agent team
Agent team — a leader agent spawns workers and coordinates them through the built-in team tools.
Task planning
Task planning — the agent breaks complex work into a tracked plan and updates it as it goes.
Permission control in bypass mode
Permission control in bypass mode — the agent runs end-to-end without pausing for tool-call confirmations.
Background task offloading
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: ```bash 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: ```bash 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](./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: