--- title: "agent-learning-kit vs adk-python" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/future-agi-agent-learning-kit-vs-google-adk-python" tools: ["future-agi-agent-learning-kit", "google-adk-python"] --- # agent-learning-kit vs adk-python *GraphCanon updated Sep 20, 2026* ## Verdict Pick agent-learning-kit if agent-learning-kit is a Python-based toolkit for evaluating and simulating AI workflows, particularly suited for AI agents. It offers optional extras for specific functionalities and a TypeScript SDK for broader language; 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. [agent-learning-kit](https://futureagi.com) reports 119 GitHub stars, 44 forks, and 19 open issues, last pushed Sep 18, 2026. [adk-python](https://google.github.io/adk-docs/) has 21k stars, 3.9k forks, and 566 open issues, last pushed Aug 18, 2026. Figures are from public GitHub metadata via [agent-learning-kit's repository](https://github.com/future-agi/agent-learning-kit) and [adk-python's repository](https://github.com/google/adk-python). | | [agent-learning-kit](/tools/future-agi-agent-learning-kit.md) | [adk-python](/tools/google-adk-python.md) | | --- | --- | --- | | Tagline | General Purpose Evaluation and Simulation Environment for all your AI related Workflows | A Python toolkit for building, evaluating, and deploying AI agents | | Stars | 119 | 21,180 | | Forks | 44 | 3,860 | | Open issues | 19 | 566 | | Language | Python | Python | | Adopt for | agent-learning-kit is a Python-based toolkit for evaluating and simulating AI workflows, particularly suited for AI agents. It offers optional extras for specific functionalities and a TypeScript SDK for broader language | adk-python provides tools for developing sophisticated AI agents with a focus on flexibility and control, particularly suited for multi-agent systems. | | Persona | - | - | | Runtime | - | - | | License | Other | adk-python is available under the Apache-2.0 license, allowing both commercial and non-commercial use with appropriate attribution. | | Categories | AI Agents, Evaluation & Observability | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-learning-kit](/tools/future-agi-agent-learning-kit.md) | [adk-python](/tools/google-adk-python.md) | | --- | --- | --- | | Open issues (now) | 19 | 566 | | Stars delta | +1 (30d) | +522 (30d) | | Open issues delta | +13 (30d) | -76 (30d) | | Full report | [trust report](/tools/future-agi-agent-learning-kit/trust.md) | [trust report](/tools/google-adk-python/trust.md) | ## Decision facts: agent-learning-kit - **Adopt for:** agent-learning-kit is a Python-based toolkit for evaluating and simulating AI workflows, particularly suited for AI agents. It offers optional extras for specific functionalities and a TypeScript SDK for broader language ## 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. ## Choose when ### Choose agent-learning-kit if… - License: agent-learning-kit is Other, adk-python is Apache-2.0. - Tags unique to agent-learning-kit: agentic-ai, cicd, evaluation, ml. - Also covers Evaluation & Observability. - When you need a comprehensive environment for evaluating and simulating AI workflows, especially for AI agents ### Choose adk-python if… - License: adk-python is Apache-2.0, agent-learning-kit is Other. - Requirements: Requires Python 3.10+ for installation.. - Tags unique to adk-python: agent, agentic, 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 NOT to use agent-learning-kit - If your project strictly requires a different programming language other than Python or TypeScript - When you need a tool that is already at a mature v1 release, as agent-learning-kit is still developing its TypeScript SDK and extras ## 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. ## Common questions ### What is the difference between agent-learning-kit and adk-python? agent-learning-kit: General Purpose Evaluation and Simulation Environment for all your AI related Workflows. adk-python: A Python toolkit for building, evaluating, and deploying AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-learning-kit over adk-python? Choose agent-learning-kit over adk-python when License: agent-learning-kit is Other, adk-python is Apache-2.0; Tags unique to agent-learning-kit: agentic-ai, cicd, evaluation, ml; Also covers Evaluation & Observability; When you need a comprehensive environment for evaluating and simulating AI workflows, especially for AI agents. ### When should I choose adk-python over agent-learning-kit? Choose adk-python over agent-learning-kit when License: adk-python is Apache-2.0, agent-learning-kit is Other; Requirements: Requires Python 3.10+ for installation.; Tags unique to adk-python: agent, agentic, 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 avoid agent-learning-kit? If your project strictly requires a different programming language other than Python or TypeScript When you need a tool that is already at a mature v1 release, as agent-learning-kit is still developing its TypeScript SDK and extras ### 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. ### Is agent-learning-kit or adk-python more popular on GitHub? adk-python has more GitHub stars (21,180 vs 119). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-learning-kit and adk-python open source? Yes - both are open-source projects on GitHub (agent-learning-kit: Other, adk-python: Apache-2.0). ### Where can I find alternatives to agent-learning-kit or adk-python? GraphCanon lists graph-backed alternatives at [agent-learning-kit alternatives](/tools/future-agi-agent-learning-kit/alternatives) and [adk-python alternatives](/tools/google-adk-python/alternatives) ([agent-learning-kit markdown twin](/tools/future-agi-agent-learning-kit/alternatives.md), [adk-python markdown twin](/tools/google-adk-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 [this comparison](/compare/future-agi-agent-learning-kit-vs-google-adk-python.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-learning-kit or adk-python? agent-learning-kit: Very active. adk-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 agent-learning-kit and adk-python? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-learning-kit trust report](/tools/future-agi-agent-learning-kit/trust); [adk-python trust report](/tools/google-adk-python/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=future-agi-agent-learning-kit`](/api/graphcanon/graph?tool=future-agi-agent-learning-kit) - 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/_