ag2
★ 5.0k
vs
agent-framework
★ 14.3k
ag2 vs agent-framework
ag2: AG2 is an open-source framework designed for building and orchestrating AI agents, facilitating complex task-solving through multi-agent cooperation. It evolved from AutoGen and offers features like inter-agent communication, LLM integration, tool use, and various conversation patterns.; 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.
01
TL;DR
ag2Multi-Agent · ★ 5.0k
Orchestrating AI agents for collaborative problem-solving and task automation.
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.
02
Side-by-Side Comparison
Field
ag2agent-frameworkCategory
Multi-Agent
Multi-Agent
Stars
★ 5.0k
★ 14.3k
License
Apache-2.0
MIT
Install Command
pip install ag2[openai]
pip install agent-framework
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
AI Agents, Multi-Agent Systems, LLM Orchestration
AI Agents, Multi-agent systems, Workflow orchestration
03
Features
ag201Inter-agent communication capabilities
02Support for various Large Language Models (LLMs)
03Integration of external tools and functions
04Flexible autonomous and human-in-the-loop workflows
05Rich multi-agent orchestration patterns (e.g., group chats, nested chats)
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.
04
Use Cases
ag2↳Orchestrating AI agents for collaborative problem-solving and task automation.
↳Integrating human feedback and oversight into AI agent workflows.
↳Extending agent capabilities through tool use for external data and API interactions.
agent-framework↳Developing simple chat agents.
↳Building complex multi-agent workflows.
↳Orchestrating AI agents using graph-based methodologies.
05
Best For
ag2EssentialTrending
agent-frameworkMost PopularEssentialTrending
FAQ
FAQ
What is the difference between ag2 and agent-framework?
Both ag2 and agent-framework are in the Multi-Agent category. ag2 has 5.0k stars, while agent-framework has 14.3k stars.
Which is better, ag2 or agent-framework?
The best choice depends on your use case. Choose ag2 if Orchestrating AI agents for collaborative problem-solving and task automation., and agent-framework if Developing simple chat agents..
Is ag2 free or open source?
Yes, ag2 is open source on GitHub (Apache-2.0).
Is agent-framework free or open source?
Yes, agent-framework is open source on GitHub (MIT).
Cloud Infrastructure
AdDeploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.
→