AutoGen vs Google Agent Development Kit

Side-by-side comparison of features, pricing, and ratings

Analysis generated Live tool data as of 2026-11-04
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AutoGen or Google Agent Development Kit: which should you choose?

DimensionAutoGenGoogle Agent Development Kit
PricingFreeFree
Best forDevelopers building multi-agent apps in Python or .NET, Researchers studying multi-agent collaboration and conversation topologiesEngineering teams building multi-agent systems that need deterministic graph orchestration, Multi-language teams shipping agents in Python, TypeScript, Go, Java, or Kotlin
Standout featuresAutoGen Studio web UI for prototyping agents without writing code (pip install, port 8080) · AgentChat Python framework for conversational single- and multi-agent apps, Python 3.10+ · Core event-driven framework for scalable multi-agent systemsMIT-licensed open-source agent development framework · SDKs for Python, TypeScript, Go, Java, and Kotlin · ADK 2.0 graph workflows mixing deterministic code with AI reasoning
Viability score73/10079/100
APIYesYes

AutoGen is the stronger pick for developers building multi-agent apps in python or .net; Google Agent Development Kit fits better for engineering teams building multi-agent systems that need deterministic graph orchestration.

Built from live tool data, last verified 2026-11-04.

AutoGen
AutoGen

AutoGen is Microsoft's open-source framework for building conversational and event-driven multi-agent AI apps in Python and .NET.

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Google Agent Development Kit
Google Agent Development Kit

Google Agent Development Kit (ADK) is the MIT-licensed framework for building production AI agents with graph workflows

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Pricing
Free
Free
Plans
Open SourceFree
Open SourceFree
Popularity
5.3k views
5.0k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
—
WebAPICLI
Categories
🕸️ Agent Frameworks & Orchestration
🕸️ Agent Frameworks & Orchestration
FeaturesAutoGenGoogle Agent Development Kit
AutoGen Studio web UI for prototyping agents without writing code (pip install, port 8080)
AgentChat Python framework for conversational single- and multi-agent apps, Python 3.10+
Core event-driven framework for scalable multi-agent systems
Deterministic and dynamic agentic workflows for business processes
Distributed multi-language agents via GrpcWorkerAgentRuntime over gRPC
AssistantAgent with model clients such as OpenAIChatCompletionClient
Customizable conversation patterns including group chat and sequential turns
McpWorkbench for connecting agents to Model Context Protocol (MCP) servers
OpenAIAssistantAgent for using the OpenAI Assistant API
DockerCommandLineCodeExecutor for running model-generated code in a Docker container
Community extensions you can discover, use, or publish
Human-in-the-loop approval and intervention inside agent workflows
Parallel .NET API surface alongside Python
Documented migration path for projects moving off AutoGen 0.2
MIT-licensed source you can self-host and modify
MIT-licensed open-source agent development framework
SDKs for Python, TypeScript, Go, Java, and Kotlin
ADK 2.0 graph workflows mixing deterministic code with AI reasoning
Graph routes, dynamic workflows, and human input steps
Collaborative workflows for multi-agent coordination
Sequential, loop, parallel, and custom template workflow patterns
Agent routing across workflow patterns
Native model support for Gemini, Gemma, and Claude
Model routing through OpenAI, Ollama, vLLM, LiteLLM, and LiteRT-LM
Agents CLI for scaffolding, building, testing, evaluating, and deploying
Web Interface and Visual Builder for running agents
Command Line and API Server run modes
Ambient agents with resume and cancel run controls
Live and Voice Agents with audio and video (Python, Java)
Built-in logging, metrics, traces, evaluation criteria, and guardrails
IntegrationsAutoGenGoogle Agent Development Kit
OpenAI
Model Context Protocol (MCP) servers
Docker
gRPC
OpenAI Assistant API
Gemini
Gemma
Claude
Ollama
vLLM
LiteLLM
LiteRT-LM
Apigee AI Gateway
Google Search
Cloud Run
Google Kubernetes Engine (GKE)
MCP
A2A Protocol

Frequently Asked Questions

Which is better, AutoGen or Google Agent Development Kit?

The best choice between AutoGen and Google Agent Development Kit depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between AutoGen and Google Agent Development Kit?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of AutoGen or Google Agent Development Kit?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

What else are AutoGen and Google Agent Development Kit compared with?

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Google Agent Development Kit vs LangChain comparison

If you need deep debugging and evaluation for production agents, LangChain's LangSmith is unmatched — its autonomous failure diagnosis and fix suggestions save hours. But if you're building multi-agen

LangGraph vs CrewAI vs AutoGen comparison

Where can you read more about AutoGen and Google Agent Development Kit?

AutoGen
View AutoGen reviewAutoGen alternatives
Google Agent Development Kit
View Google Agent Development Kit reviewGoogle Agent Development Kit alternatives

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