Agentflow
★ 27
vs
agentscope
★ 33.7k
Agentflow vs agentscope
Agentflow: Agentflow is a lightweight Python framework for building intelligent agents and orchestrating multi-agent workflows, offering an LLM-agnostic core engine. It provides a full-stack ecosystem including an API server, CLI, TypeScript client, visual playground, and documentation for taking multi-agent systems from prototype to production.; 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.
01
TL;DR
AgentflowMulti-Agent · ★ 27
Building Reasoning Agents
agentscopeMulti-Agent · ★ 33.7k
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+.
02
Side-by-Side Comparison
Field
AgentflowagentscopeCategory
Multi-Agent
Multi-Agent
Stars
★ 27
★ 33.7k
License
MIT
Apache-2.0
Install Command
pip install 10xscale-agentflow 10xscale-agentflow-cli && agentflow init my-agent && cd my-agent && agentflow api
uv pip install agentscope
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
Multi-Agent Orchestration, LLM Framework, Python
Agent Framework, Multi-Agent Systems, Large Language Models
03
Features
Agentflow01LLM-Agnostic Orchestration
02Multi-Agent Workflows
03Parallel Tool Execution
04Realtime Audio Agents
05State Management & Checkpointing
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.
04
Use Cases
Agentflow↳Building Reasoning Agents
↳Retrieval-Augmented Generation (RAG)
↳Multi-Agent Collaboration
↳Realtime Voice Applications
↳Workflow Automation
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.
05
Best For
Agentflow—
agentscopeMost PopularEssentialTrending
FAQ
FAQ
What is the difference between Agentflow and agentscope?
Both Agentflow and agentscope are in the Multi-Agent category. Agentflow has 27 stars, while agentscope has 33.7k stars.
Which is better, Agentflow or agentscope?
The best choice depends on your use case. Choose Agentflow if Building Reasoning Agents, and agentscope if Developing multi-agent collaborative applications and strategic games..
Is Agentflow free or open source?
Yes, Agentflow is open source on GitHub (MIT).
Is agentscope free or open source?
Yes, agentscope is open source on GitHub (Apache-2.0).
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