Comparison
adk-python vs openai-agents-python
adk-python (An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.) vs openai-agents-python (A lightweight, powerful framework for multi-agent workflows) - live GitHub stats and typed graph relationships, not marketing.
Markdown twin · adk-python alternatives · openai-agents-python 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.
- openai-agents-python
- A lightweight, powerful framework for multi-agent workflows
Stars
- adk-python
- 21k
- openai-agents-python
- 28k
Forks
- adk-python
- 3.7k
- openai-agents-python
- 4.3k
Open issues
- adk-python
- 697
- openai-agents-python
- 65
Language
- adk-python
- Python
- openai-agents-python
- 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.
- openai-agents-python
- A flexible and lightweight framework for building complex multi-agent systems capable of integrating with multiple LLMs.
Persona
- adk-python
- -
- openai-agents-python
- -
Runtime
- adk-python
- -
- openai-agents-python
- -
License
- adk-python
- Apache-2.0
- openai-agents-python
- MIT
Last pushed
- adk-python
- Jul 8, 2026
- openai-agents-python
- Jul 8, 2026
Categories
- adk-python
- AI Agents
- openai-agents-python
- AI Agents
Trust and health
Open issues (now)
- adk-python
- 697
- openai-agents-python
- 65
Full report
- adk-python
- Trust report
- openai-agents-python
- Trust report
Typed relationship
adk-python alternative openai-agents-pythonBoth are frameworks geared towards building multi-agent workflows but likely approach the problem with different methodologies and design principles.
Shared compatibility
- Python · adk-python: Python runtime · openai-agents-python: Python runtime
Choose adk-python if…
- License: adk-python is Apache-2.0, openai-agents-python is MIT.
- Both are frameworks geared towards building multi-agent workflows but likely approach the problem with different methodologies and design principles.
- 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 openai-agents-python if…
- License: openai-agents-python is MIT, adk-python is Apache-2.0.
- Both are frameworks geared towards building multi-agent workflows but likely approach the problem with different methodologies and design principles.
- Tags unique to openai-agents-python: agents, llm, ai, python.
- - When you need a provider-agnostic solution that supports over 100 different Language Models including OpenAI's.
When NOT to use openai-agents-python
- - When you prefer a more specialized solution specifically tailored for simpler agent workflows without comprehensive multi-agent capabilities.
- - If you are solely working with frameworks or LLMs that do not integrate well or at all with the OpenAI responses and Chat Completions APIs.
- - For projects requiring minimalistic setup; if your project can be handled efficiently by a less complex tool or framework.
Explore
adk-python trust report →openai-agents-python trust report →AI Agents category →All comparisonsStack workflowsTrending tools
Related comparisons
Common questions
- What is the difference between adk-python and openai-agents-python?
- adk-python: An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.. openai-agents-python: A lightweight, powerful framework for multi-agent workflows. See the comparison table for live GitHub stats and shared categories.
- When should I choose adk-python over openai-agents-python?
- Choose adk-python over openai-agents-python when License: adk-python is Apache-2.0, openai-agents-python is MIT; Both are frameworks geared towards building multi-agent workflows but likely approach the problem with different methodologies and design principles; 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 openai-agents-python over adk-python?
- Choose openai-agents-python over adk-python when License: openai-agents-python is MIT, adk-python is Apache-2.0; Both are frameworks geared towards building multi-agent workflows but likely approach the problem with different methodologies and design principles; Tags unique to openai-agents-python: agents, llm, ai, python; - When you need a provider-agnostic solution that supports over 100 different Language Models including OpenAI's.
- 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 openai-agents-python?
- - When you prefer a more specialized solution specifically tailored for simpler agent workflows without comprehensive multi-agent capabilities. - If you are solely working with frameworks or LLMs that do not integrate well or at all with the OpenAI responses and Chat Completions APIs. - For projects requiring minimalistic setup; if your project can be handled efficiently by a less complex tool or framework.
- Is adk-python or openai-agents-python more popular on GitHub?
- openai-agents-python has more GitHub stars (27,732 vs 20,517). Stars measure visibility, not whether either tool fits your constraints.
- Are adk-python and openai-agents-python open source?
- Yes - both are open-source projects on GitHub (adk-python: Apache-2.0, openai-agents-python: MIT).
- Where can I find alternatives to adk-python or openai-agents-python?
- GraphCanon lists graph-backed alternatives at /tools/google-adk-python/alternatives and /tools/openai-openai-agents-python/alternatives (/tools/google-adk-python/alternatives.md, /tools/openai-openai-agents-python/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-openai-openai-agents-python.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, adk-python or openai-agents-python?
- adk-python: Very active. openai-agents-python: Very active. 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 openai-agents-python?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: adk-python: /tools/google-adk-python/trust; openai-agents-python: /tools/openai-openai-agents-python/trust.