--- title: "adk-python vs agent-kernel" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/google-adk-python-vs-yaalalabs-agent-kernel" tools: ["google-adk-python", "yaalalabs-agent-kernel"] --- # adk-python vs agent-kernel *GraphCanon updated Aug 19, 2026* ## Verdict Pick adk-python if adk-python provides tools for developing sophisticated AI agents with a focus on flexibility and control, particularly suited for multi-agent systems; pick agent-kernel if agent-kernel provides an operating system for scalable enterprise AI agents, supporting deployment and orchestration at scale with native integration support for MCP and A2A. [adk-python](https://google.github.io/adk-docs/) reports 21k GitHub stars, 3.9k forks, and 566 open issues, last pushed Aug 18, 2026. [agent-kernel](https://kernel.yaala.ai/) has 113 stars, 60 forks, and 128 open issues, last pushed Aug 7, 2026. Figures are from public GitHub metadata via [adk-python's repository](https://github.com/google/adk-python) and [agent-kernel's repository](https://github.com/yaalalabs/agent-kernel). | | [adk-python](/tools/google-adk-python.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) | | --- | --- | --- | | Tagline | A Python toolkit for building, evaluating, and deploying AI agents | The Operating System for Scalable Enterprise AI Agents | | Stars | 21,180 | 113 | | Forks | 3,860 | 60 | | Open issues | 566 | 128 | | Language | Python | Python | | Adopt for | adk-python provides tools for developing sophisticated AI agents with a focus on flexibility and control, particularly suited for multi-agent systems. | Agent-kernel provides an operating system for scalable enterprise AI agents, supporting deployment and orchestration at scale with native integration support for MCP and A2A. | | Persona | - | - | | Runtime | - | - | | License | adk-python is available under the Apache-2.0 license, allowing both commercial and non-commercial use with appropriate attribution. | Apache-2.0 | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [adk-python](/tools/google-adk-python.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) | | --- | --- | --- | | Days since push | 0d | 2d | | Open issues (now) | 566 | 128 | | Stars delta | +522 (30d) | Unknown | | Open issues delta | -76 (30d) | Unknown | | Full report | [trust report](/tools/google-adk-python/trust.md) | [trust report](/tools/yaalalabs-agent-kernel/trust.md) | ## Decision facts: adk-python - **Requirements:** Requires Python 3.10+ for installation. - **Adopt for:** adk-python provides tools for developing sophisticated AI agents with a focus on flexibility and control, particularly suited for multi-agent systems. - **License detail:** adk-python is available under the Apache-2.0 license, allowing both commercial and non-commercial use with appropriate attribution. ## Decision facts: agent-kernel - **Requirements:** It requires Python versions between 3.12 and 3.13.x.; Supports deployment to various environments such as AWS Lambda, ECS, Azure Functions, or Container Apps via one Terraform module. - **Adopt for:** Agent-kernel provides an operating system for scalable enterprise AI agents, supporting deployment and orchestration at scale with native integration support for MCP and A2A. ## Choose when ### Choose adk-python if… - Requirements: Requires Python 3.10+ for installation.. - Tags unique to adk-python: agent, agentic, ai-agents, multi-agent-systems. - You are working on multi-agent systems where multiple AI agents need to collaborate or interact effectively. adk-python offers specific support for defining and orchestrating multi-agent workflows. ### Choose agent-kernel if… - Requirements: It requires Python versions between 3.12 and 3.13.x.; Supports deployment to various environments such as AWS Lambda, ECS, Azure Functions, or Container Apps via one Terraform module.. - Tags unique to agent-kernel: a2a, adk, aws, azure. - If you require seamless scalability across different cloud providers like AWS and Azure without lock-in or rewrites. ## When NOT to use adk-python - If your project does not involve multi-agent interactions or complex orchestration of multiple agents, other frameworks might offer more streamlined solutions. - You prefer using out-of-the-box solutions with less coding complexity. adk-python's code-first approach is best suited for developers looking to deeply customize agent behavior and interactions. ## When NOT to use agent-kernel - If your project is confined to a single, specific AI framework which doesn't require the flexibility Agent-kernel offers. - When you do not have Python version 3.12 - 3.13.x, as it's the required runtime environment. ## Common questions ### What is the difference between adk-python and agent-kernel? adk-python: A Python toolkit for building, evaluating, and deploying AI agents. agent-kernel: The Operating System for Scalable Enterprise AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose adk-python over agent-kernel? Choose adk-python over agent-kernel when Requirements: Requires Python 3.10+ for installation.; Tags unique to adk-python: agent, agentic, ai-agents, multi-agent-systems; You are working on multi-agent systems where multiple AI agents need to collaborate or interact effectively. adk-python offers specific support for defining and orchestrating multi-agent workflows. ### When should I choose agent-kernel over adk-python? Choose agent-kernel over adk-python when Requirements: It requires Python versions between 3.12 and 3.13.x.; Supports deployment to various environments such as AWS Lambda, ECS, Azure Functions, or Container Apps via one Terraform module.; Tags unique to agent-kernel: a2a, adk, aws, azure; If you require seamless scalability across different cloud providers like AWS and Azure without lock-in or rewrites. ### When should I avoid adk-python? If your project does not involve multi-agent interactions or complex orchestration of multiple agents, other frameworks might offer more streamlined solutions. You prefer using out-of-the-box solutions with less coding complexity. adk-python's code-first approach is best suited for developers looking to deeply customize agent behavior and interactions. ### When should I avoid agent-kernel? If your project is confined to a single, specific AI framework which doesn't require the flexibility Agent-kernel offers. When you do not have Python version 3.12 - 3.13.x, as it's the required runtime environment. ### Is adk-python or agent-kernel more popular on GitHub? adk-python has more GitHub stars (21,180 vs 113). Stars measure visibility, not whether either tool fits your constraints. ### Are adk-python and agent-kernel open source? Yes - both are open-source projects on GitHub (adk-python: Apache-2.0, agent-kernel: Apache-2.0). ### Where can I find alternatives to adk-python or agent-kernel? GraphCanon lists graph-backed alternatives at [adk-python alternatives](/tools/google-adk-python/alternatives) and [agent-kernel alternatives](/tools/yaalalabs-agent-kernel/alternatives) ([adk-python markdown twin](/tools/google-adk-python/alternatives.md), [agent-kernel markdown twin](/tools/yaalalabs-agent-kernel/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 [this comparison](/compare/google-adk-python-vs-yaalalabs-agent-kernel.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, adk-python or agent-kernel? adk-python: Very active. agent-kernel: 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 agent-kernel? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [adk-python trust report](/tools/google-adk-python/trust); [agent-kernel trust report](/tools/yaalalabs-agent-kernel/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/_