Comparison
adk-python vs autogen
adk-python (An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.) vs autogen (A framework for creating multi-agent AI applications) - live GitHub stats and typed graph relationships, not marketing.
Markdown twin · adk-python alternatives · autogen alternatives
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Tagline
- adk-python
- An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
- autogen
- A framework for creating multi-agent AI applications
Stars
- adk-python
- 21k
- autogen
- 60k
Forks
- adk-python
- 3.7k
- autogen
- 9.0k
Open issues
- adk-python
- 697
- autogen
- 930
Language
- adk-python
- Python
- autogen
- Python
Adopt for
- adk-python
- adk-python offers a code-first Python framework with advanced workflow capabilities and task delegation mechanisms, making it suitable for developers looking to create complex AI agent systems.
- autogen
- AutoGen is a framework for developing multi-agent AI applications that can act autonomously or alongside humans. It's currently in maintenance mode with no additional features planned and users are encouraged to migrate.
Persona
- adk-python
- -
- autogen
- -
Runtime
- adk-python
- -
- autogen
- -
License
- adk-python
- Apache-2.0
- autogen
- CC-BY-4.0
Last pushed
- adk-python
- Jul 8, 2026
- autogen
- Apr 15, 2026
Categories
- adk-python
- AI Agents
- autogen
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- adk-python
- Very active (96%)
- autogen
- Steady (60%)
Days since push
- adk-python
- 0d
- autogen
- 83d
Open issues (now)
- adk-python
- 697
- autogen
- 930
Full report
- adk-python
- Trust report
- autogen
- Trust report
Typed relationship
adk-python alternative autogenAutogen is another multi-agent AI application creation framework like ADK. Both tackle the design, operation and integration of multiple agents in an intelligent system.
Shared compatibility
- Python · adk-python: Python runtime · autogen: Python runtime
Choose adk-python if…
- License: adk-python is Apache-2.0, autogen is CC-BY-4.0.
- Autogen is another multi-agent AI application creation framework like ADK. Both tackle the design, operation and integration of multiple agents in an intelligent system.
- Tags unique to adk-python: agentic-ai, agent, ai-agents.
- - When you need a toolkit that supports deterministic workflows with features like routing, fan-out/fan-in, loops, retries, state management, dynamic nodes, and human-in-the-loop interfaces.
When NOT to use adk-python
- - If your application does not require the level of detailed workflow control or task delegation features ADK offers. Simpler projects might suffer from over-engineering.
- - When your project is already invested in another framework that provides similar functionality and switching would introduce unnecessary complexity or migration cost.
Choose autogen if…
- License: autogen is CC-BY-4.0, adk-python is Apache-2.0.
- Requirements: AutoGen requires Python 3.10 or later..
- Autogen is another multi-agent AI application creation framework like ADK. Both tackle the design, operation and integration of multiple agents in an intelligent system.
- Tags unique to autogen: autogen, agents, ai, agentic.
- Also covers LLM Frameworks.
- You should use AutoGen if you have an existing project built on it and desire to maintain its current functionality without introducing advanced enterprise features or extensive new capabilities.
When NOT to use autogen
- Do not use AutoGen if you are planning to build a production-ready application that requires long-term support, enterprise-grade orchestration features, or multi-provider model support.
- Avoid using this tool if your project needs future-proof development with new and continuous enhancements as the framework is in maintenance mode.
Explore
adk-python trust report →autogen trust report →AI Agents category →LLM Frameworks category →All comparisonsStack workflowsTrending tools
Related comparisons
Common questions
- What is the difference between adk-python and autogen?
- adk-python: An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.. autogen: A framework for creating multi-agent AI applications. See the comparison table for live GitHub stats and shared categories.
- When should I choose adk-python over autogen?
- Choose adk-python over autogen when License: adk-python is Apache-2.0, autogen is CC-BY-4.0; Autogen is another multi-agent AI application creation framework like ADK. Both tackle the design, operation and integration of multiple agents in an intelligent system; Tags unique to adk-python: agentic-ai, agent, ai-agents; - When you need a toolkit that supports deterministic workflows with features like routing, fan-out/fan-in, loops, retries, state management, dynamic nodes, and human-in-the-loop interfaces.
- When should I choose autogen over adk-python?
- Choose autogen over adk-python when License: autogen is CC-BY-4.0, adk-python is Apache-2.0; Requirements: AutoGen requires Python 3.10 or later.; Autogen is another multi-agent AI application creation framework like ADK. Both tackle the design, operation and integration of multiple agents in an intelligent system; Tags unique to autogen: autogen, agents, ai, agentic; Also covers LLM Frameworks; You should use AutoGen if you have an existing project built on it and desire to maintain its current functionality without introducing advanced enterprise features or extensive new capabilities.
- When should I avoid adk-python?
- - If your application does not require the level of detailed workflow control or task delegation features ADK offers. Simpler projects might suffer from over-engineering. - When your project is already invested in another framework that provides similar functionality and switching would introduce unnecessary complexity or migration cost.
- When should I avoid autogen?
- Do not use AutoGen if you are planning to build a production-ready application that requires long-term support, enterprise-grade orchestration features, or multi-provider model support. Avoid using this tool if your project needs future-proof development with new and continuous enhancements as the framework is in maintenance mode.
- Is adk-python or autogen more popular on GitHub?
- autogen has more GitHub stars (59,573 vs 20,517). Stars measure visibility, not whether either tool fits your constraints.
- Are adk-python and autogen open source?
- Yes - both are open-source projects on GitHub (adk-python: Apache-2.0, autogen: CC-BY-4.0).
- Where can I find alternatives to adk-python or autogen?
- GraphCanon lists graph-backed alternatives at /tools/google-adk-python/alternatives and /tools/microsoft-autogen/alternatives (/tools/google-adk-python/alternatives.md, /tools/microsoft-autogen/alternatives.md), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at /compare/google-adk-python-vs-microsoft-autogen.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, adk-python or autogen?
- adk-python: Very active. autogen: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for adk-python and autogen?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: adk-python: /tools/google-adk-python/trust; autogen: /tools/microsoft-autogen/trust.