agentscope
★ 34.4k
vs
MiroFlow
★ 3.1k
agentscope vs MiroFlow
agentscope: AgentScope is a production-ready, easy-to-use agent framework designed for increasingly agentic LLMs. It offers essential abstractions, built-in support for finetuning, and flexible multi-agent orchestration for various deployment environments.; MiroFlow: MiroFlow is a leading-performance, fully open-source framework designed for multi-step internet research and complex reasoning tasks like future event prediction. It offers reproducible state-of-the-art performance on various agentic benchmarks and supports extensive tool integration and sub-agent orchestration.
01
TL;DR
agentscopeMulti-Agent · ★ 34.4k
When to choose:
- 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.
When to skip:
- 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+.
MiroFlowMulti-Agent · ★ 3.1k
Performing multi-step internet research.
02
Side-by-Side Comparison
Field
agentscopeMiroFlowCategory
Multi-Agent
Multi-Agent
Stars
★ 34.4k
★ 3.1k
License
Apache-2.0
Apache-2.0
Install Command
uv pip install agentscope
uv sync
Updated
1d ago
3mo ago
Open Source
Yes
Yes
Tags
Agent Framework, Multi-Agent Systems, Large Language Models
AI Agent, Research Automation, Large Language Models
03
Features
agentscope01Easy-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.
MiroFlow01Reproducible State-of-the-Art Performance on agentic benchmarks.
02High Concurrency and Reliability for complex task execution.
03Cost-Effective Deployment using open-source tools and models.
04Modular Framework for building intelligent AI agents.
05Extensive AI Model and Tool Integration.
04
Use Cases
agentscope↳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.
MiroFlow↳Performing multi-step internet research.
↳Predicting future events and trends.
↳Solving complex reasoning tasks.
05
Best For
agentscopeMost PopularEssentialTrending
MiroFlow—
FAQ
FAQ
What is the difference between agentscope and MiroFlow?
Both agentscope and MiroFlow are in the Multi-Agent category. agentscope has 34.4k stars, while MiroFlow has 3.1k stars.
Which is better, agentscope or MiroFlow?
The best choice depends on your use case. Choose agentscope if Developing multi-agent collaborative applications and strategic games., and MiroFlow if Performing multi-step internet research..
Is agentscope free or open source?
Yes, agentscope is open source on GitHub (Apache-2.0).
Is MiroFlow free or open source?
Yes, MiroFlow is open source on GitHub (Apache-2.0).
Cloud Infrastructure
AdDeploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.
→