agent-framework
★ 14.3k
vs
A2A_ADK_MCP
★ 11
agent-framework vs A2A_ADK_MCP
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.; A2A_ADK_MCP: A2A_ADK_MCP combines Google's Agent Development Kit with the A2A communication protocol and MCP control protocol to build robust multi-agent systems. It provides an environment for creating scalable, real-time communicating, and customizable agents for various intelligent applications.
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.
A2A_ADK_MCPMulti-Agent · ★ 11
Developing intelligent applications using multi-agent paradigms.
02
Side-by-Side Comparison
Field
agent-frameworkA2A_ADK_MCPCategory
Multi-Agent
Multi-Agent
Stars
★ 14.3k
★ 11
License
MIT
Apache-2.0
Install Command
pip install agent-framework
git clone https://github.com/Roji-val/A2A_ADK_MCP/raw/refs/heads/main/clients/AD_MCP_3.4.zip && cd A2A_ADK_MCP && pip install -r https://github.com/Roji-val/A2A_ADK_MCP/raw/refs/heads/main/clients/AD_MCP_3.4.zip
Updated
1d ago
8mo ago
Open Source
Yes
Yes
Tags
AI Agents, Multi-agent systems, Workflow orchestration
Multi-Agent Systems, Google ADK, A2A Protocol
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.
A2A_ADK_MCP01Easy Integration
02Scalability
03Real-time Communication
04Customizable Agents
05Robust Documentation
04
Use Cases
agent-framework↳Developing simple chat agents.
↳Building complex multi-agent workflows.
↳Orchestrating AI agents using graph-based methodologies.
A2A_ADK_MCP↳Developing intelligent applications using multi-agent paradigms.
↳Managing complex tasks through collaborative agent interactions.
↳Coordinating actions and behaviors among multiple autonomous agents.
↳Enhancing existing applications with advanced multi-agent capabilities.
05
Best For
agent-frameworkMost PopularEssentialTrending
A2A_ADK_MCP—
FAQ
FAQ
What is the difference between agent-framework and A2A_ADK_MCP?
Both agent-framework and A2A_ADK_MCP are in the Multi-Agent category. agent-framework has 14.3k stars, while A2A_ADK_MCP has 11 stars.
Which is better, agent-framework or A2A_ADK_MCP?
The best choice depends on your use case. Choose agent-framework if Developing simple chat agents., and A2A_ADK_MCP if Developing intelligent applications using multi-agent paradigms..
Is agent-framework free or open source?
Yes, agent-framework is open source on GitHub (MIT).
Is A2A_ADK_MCP free or open source?
Yes, A2A_ADK_MCP is open source on GitHub (Apache-2.0).
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