--- title: "adk-python vs openai-agents-python" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/google-adk-python-vs-openai-openai-agents-python" tools: ["google-adk-python", "openai-openai-agents-python"] --- # adk-python vs openai-agents-python Neutral, constraint-first comparison with live GitHub stats. | | [adk-python](/tools/google-adk-python.md) | [openai-agents-python](/tools/openai-openai-agents-python.md) | | --- | --- | --- | | Tagline | An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control. | A lightweight, powerful framework for multi-agent workflows | | Stars | 20,517 | 27,732 | | Forks | 3,664 | 4,277 | | Open issues | 697 | 65 | | Language | Python | Python | | Adopt for | 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. | A flexible and lightweight framework for building complex multi-agent systems capable of integrating with multiple LLMs. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [adk-python](/tools/google-adk-python.md) | [openai-agents-python](/tools/openai-openai-agents-python.md) | | --- | --- | --- | | Open issues (now) | 697 | 65 | | Full report | [trust report](/tools/google-adk-python/trust.md) | [trust report](/tools/openai-openai-agents-python/trust.md) | **Typed relationship:** adk-python _(alternative)_ openai-agents-python Both are frameworks geared towards building multi-agent workflows but likely approach the problem with different methodologies and design principles. ## Shared compatibility - **Python**: [adk-python](/tools/google-adk-python.md) - Python runtime; [openai-agents-python](/tools/openai-openai-agents-python.md) - Python runtime ## Decision facts: adk-python - **Adopt for:** 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. ## Decision facts: openai-agents-python - **Adopt for:** A flexible and lightweight framework for building complex multi-agent systems capable of integrating with multiple LLMs. ## Choose when ### 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. ### 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 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 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. ## 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. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=google-adk-python`](/api/graphcanon/graph?tool=google-adk-python) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_