AgentScope
Build LLM-empowered multi-agent applications easily.
Pricing
Free tier
Flat rate
Adoption
↗RisingLicense
Open Source
Data freshness
Verified · Jul 16, 2026Overview
What is AgentScope?
AgentScope is a framework that simplifies the development of large language model-powered multi-agent systems, enabling developers to focus on application logic rather than infrastructure.
Key differentiator
“AgentScope stands out by offering an open-source framework specifically designed for developing large language model-powered multi-agent systems, focusing on simplifying the development process.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Primary development is in Python, with limited official support for other languages
GitHub repository shows low activity levels and delayed response to issues
Fit analysis
Who is it for?
✓ Best for
Teams working on research projects that require the integration of multiple AI agents
Developers looking to simplify the development process of complex multi-agent applications
Educators who want to teach about multi-agent systems and LLMs
✕ Not a fit for
Projects requiring real-time interaction between agents due to potential latency issues
Applications that need a fully managed service without self-hosting capabilities
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Next step
Get Started with AgentScope
Step-by-step setup guide with code examples and common gotchas.