agent-framework
★ 14.3k
vs
agentscope
★ 34.4k
agent-framework vs agentscope
agent-framework: Microsoft Agent Framework is a comprehensive multi-language framework for building, orchestrating, and deploying AI agents. It supports both .NET and Python, offering features from simple chat agents to complex multi-agent workflows with graph-based orchestration.; 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
agent-frameworkMulti-Agent · ★ 14.3k
When to choose:
- You are starting a new Microsoft-ecosystem agent project in Python or .NET and want the official successor to AutoGen.
- You need built-in workflow checkpointing, middleware, OpenTelemetry tracing, declarative YAML agents, and a DevUI under MIT.
When to skip:
- You only need a small, single-file Python agent without a multi-package framework; Pydantic AI is lighter.
- You rely on Chinese LLM providers and realtime voice pipelines out of the box; AgentScope has dedicated support for those.
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+.
02
Side-by-Side Comparison
Field
agent-frameworkagentscopeCategory
Multi-Agent
Multi-Agent
Stars
★ 14.3k
★ 34.4k
License
MIT
Apache-2.0
Install Command
pip install agent-framework
uv pip install agentscope
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
AI Agents, Multi-agent systems, Workflow orchestration
Agent Framework, Multi-Agent Systems, Large Language Models
03
Features
agent-framework01Graph-based Workflows with streaming, checkpointing, human-in-the-loop, and time-travel capabilities.
02AF Labs for experimental features including benchmarking, reinforcement learning, and research initiatives.
03Interactive DevUI for agent development, testing, and debugging workflows.
04Full framework support for both Python and C#/.NET with consistent APIs.
05Built-in OpenTelemetry integration for distributed tracing, monitoring, and debugging.
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
agent-framework↳Developing simple chat agents.
↳Building complex multi-agent workflows.
↳Orchestrating AI agents using graph-based methodologies.
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
agent-frameworkMost PopularEssentialTrending
agentscopeMost PopularEssentialTrending
FAQ
FAQ
What is the difference between agent-framework and agentscope?
Both agent-framework and agentscope are in the Multi-Agent category. agent-framework has 14.3k stars, while agentscope has 34.4k stars.
Which is better, agent-framework or agentscope?
The best choice depends on your use case. Choose agent-framework if Developing simple chat agents., and agentscope if Developing multi-agent collaborative applications and strategic games..
Is agent-framework free or open source?
Yes, agent-framework 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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