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agentscope
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agentscope

Active·★ 34.4k·Apache-2.0·Updated 2026-10-27
★ Most Popular★ Essential★ Trending

AgentScope is an open-source Python framework for building and running agents "you can see, understand and trust". Version 2.0 is designed around increasingly capable models: rather than constraining them with rigid prompts and orchestrations, it gives them good building blocks and lets their reasoning and tool use do the work. It is developed by the agentscope-ai team and backed by an arXiv paper.

It suits Python developers building production agents and multi-agent systems. Building blocks include a ReAct agent loop with structured output and interruption and resume, a toolkit spanning Python tools, MCP servers and skills (with built-in coding tools), models from major providers including OpenAI, Anthropic, Gemini, DashScope, DeepSeek and Ollama, automatic context compaction, and a unified event stream for front ends. Recent releases add pipelines and team pipelines in which a leader delegates to member agents, the A2A protocol, model routing, standard operating procedures and realtime voice agents.

Getting started: requires Python 3.11+. Install with `uv pip install agentscope`, or install from source in editable mode, then build an agent from the ReAct building block and add tools and models.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool. Data as of 2026-10-24.

License
Apache-2.0
Latest release
v2.0.10 · 2026-10-12
Last commit
2026-10-23
Contributors
177
Forks
3,715
Open issues and PRs
685
First published
2024-01-12
PyPI package
agentscope 2.0.10 · 50,883 downloads last week

Source: GitHub, npm and PyPI public APIs.

#Agent Framework#Multi-Agent Systems#Large Language Models#Finetuning#Production-ready#Coding
$ Install
$ uv pip install agentscope
↗ Visit site★ GitHub
01

Features

01Easy-to-use with built-in ReAct agents, tools, and human-in-the-loop steering.
02Extensible with broad ecosystem integrations, MCP, and A2A protocol support.
03Production-ready for local, serverless, or Kubernetes deployments with OTel support.
04Voice-enabled agents capable of speech understanding and response.
05Seamless integration with Reinforcement Learning for agent tuning.
02

Why choose it

+Clean building blocks (ReAct loop, toolkit, models, context, events) that are easy to compose.
+Broad model support including Chinese providers such as DashScope, DeepSeek and Volcengine.
+Multi-agent features (pipelines, team pipelines, A2A) plus realtime voice agents.
+Actively developed, Apache-2.0 licensed, with documentation in English and Chinese.
03

Trade-offs

!Version 2.0 changes the framework's approach, so code and tutorials written for earlier versions may need rework.
!Several new capabilities, such as SOPs, are marked experimental.
!Python only, and requires Python 3.11 or newer.
05

Maintenance check

ActiveChecked: 2026-10-25
Last commit
2026-10-23
Commits, last 90 days
100+
Releases, last 90 days
6
Latest release
v2.0.10 (2026-10-12)
Open issues
697
Recent issues with at least one comment
9/20
Commits per week, last 12 weeks
Commits per week, last 12 weeks: 11, 32, 17, 26, 33, 29, 30, 46, 49, 22, 36, 0

Oldest week on the left; the latest four weeks are orange. Source: GitHub commit activity.

Status rule: archived on GitHub = Archived; last commit within 90 days = Active; 91 to 365 days = Slowing; older = Stale. All figures come from the GitHub API on the date shown.

Most discussed open issues

  • #926 [Feature]: human in loop wanted17 comments · 2025-11-12
  • #2707 [Bug]: streamed Base64 accumulation repeatedly transcodes the full payload16 comments · 2026-09-20
  • #3194 [Bug]: Provider length-limit stop reasons are lost, so incomplete tool calls may run15 comments · 2026-10-09
  • #1120 [human in loop]how to interrupt the agent flow and give a confirm/new information to the agent to continue the flow when coding by fastapi?15 comments · 2026-01-15
  • #2566 feat(realtime): support context management for the realtime agent14 comments · 2026-09-09

Issue titles are quoted from GitHub. Open the link to check whether a problem still applies to the version you use.

04

Who it fits

Pick it if
  • You want composable Python 3.11+ building blocks (ReAct loop, toolkit, pipelines, A2A, realtime voice) with bilingual documentation.
  • You use Chinese model providers (DashScope, DeepSeek, Volcengine) alongside global APIs under an Apache-2.0 license.
Look elsewhere if
  • You rely on v1.x AgentScope code and do not want to migrate to the redesigned v2.0 architecture.
  • You need Python 3.10 or .NET support; AgentScope 2.0 requires Python 3.11+.
06

How it differs

CrewAI logovs CrewAI★ 60.2k

AgentScope (Apache-2.0) emphasises transparent ReAct loops, A2A, realtime voice, and first-class support for Chinese and global LLM APIs. CrewAI (MIT) emphasises role-based Crews paired with event-driven Flows.

Full comparison →
MetaGPT logovs MetaGPT★ 71.0k

AgentScope is a general-purpose, actively updated agent toolkit; MetaGPT models a fixed software-company SOP (PM, architect, engineer) and has had slower repository activity since January 2026.

Full comparison →
07

Compatibility

DashScope
Supported
Verified via docs
Anthropic
Supported
Verified via docs
Agent-to-Agent (A2A)
Native
Verified via docs
Multi-Party Computation (MCP)
Native
Verified via docs
Kubernetes
Supported
Verified via docs
Docker
Supported
Verified via docs
08

Quick start

1
$ uv pip install agentscope
09

Use cases

↳Developing multi-agent collaborative applications and strategic games.
↳Building agents with advanced tool-use capabilities and multi-step reasoning.
↳Tuning agent performance using Reinforcement Learning for continuous improvement.
10

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On this page
01Features02Why choose it03Trade-offs05Maintenance check04Who it fits06How it differs07Compatibility08Quick start09Use cases10Alternatives
agentscope-ai /
agentscope
↗

Python framework for transparent, production-ready agents

34.4k3.7kApache-2.0
Last commit1d ago
StatusActive
CategoryMulti-Agent
Contributors177
Latest releasev2.0.10
Links
Documentation↗Discussion↗Issues↗Releases↗
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