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ActiveDeveloperOpen Source, Apache-2.0

AgentScope

Multi-agent framework from Alibaba (Tongyi)

AgentScope is a Python framework for agents and multi-agent systems from Alibaba. At its core is a ReAct agent with tool management for Python tools, MCP servers and skills, plus context compaction, RAG and long-term memory with backends such as Mem0 and ReMe. Multiple agents collaborate through workflows such as orchestrator-workers with handoffs, routing, debates and concurrent agents; in the Agent Service a leader agent spawns worker agents on demand (Agent Team), and remote agents are reachable via A2A. AgentScope Studio, tracing and evaluation are also included. The project is licensed under Apache-2.0.

Position on the system map88 systems
Scalability, upwardsusable without developers, to the right

Good fit if

Focus: Developer teams building multi-agent applications with their own serving layer, especially with Qwen and DashScope

  • your project is about Task decomposition with orchestrator and workers, Debates and routing between agents or Realtime voice agents
  • someone on your team writes code

Probably not if

  • nobody on your team writes code (1/5 for use without developers)

Key figures

Usable without developers
1/5
Scalability
4/5
Integrations
4/5
Versioning
2/5
Observability
4/5

Editorial rating on a scale from 1 to 5. Methodology

Fact sheet

Category
Developer
Type
Multi-agent framework from Alibaba (Tongyi)
Licence
Open Source (Apache-2.0)
Pricing
Open SourceFramework without license fee (Apache-2.0). Costs arise for the models used, for example via DashScope or other providers, and for your own infrastructure.
Deployment
Self-Hosted, Docker, Any
Models
DashScope (Qwen), OpenAI, Anthropic, Google Gemini, DeepSeek, Moonshot, Volcengine, xAI, Ollama
RAG
Yes
Multi-Agent
Yes
SSO, roles (RBAC)
SSO no, RBAC no
Latest version
2.0.9 (28.09.2026)
GitHub stars
33,036

Key features

  • Orchestrator-workers, handoffs and Agent Team
  • ReAct agent with MCP and skills
  • Long-term memory (Mem0, ReMe) and RAG
  • A2A and realtime voice agents
  • AgentScope Studio, tracing and evaluation
  • Agent Service with multi-tenancy and persistence

Typical use cases

  • Task decomposition with orchestrator and workers
  • Debates and routing between agents
  • Realtime voice agents
  • Agent services with a web UI

Market notes

Changes to AgentScope by email

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Implementation

Get AgentScope implemented

Free for you. Partners only pay for requests they accept.

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