--- title: "ai-agents-for-beginners vs ART" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-ai-agents-for-beginners-vs-openpipe-art" tools: ["microsoft-ai-agents-for-beginners", "openpipe-art"] --- # ai-agents-for-beginners vs ART *GraphCanon updated Aug 19, 2026* ## Verdict Pick ai-agents-for-beginners if aimed at beginners, 'ai-agents-for-beginners' offers introductory lessons on building AI agents through practical modules in a multi-language environment. It's ideal for individuals new to AI Agents and interested in agē; pick ART if aRT is a specialized framework for training multi-step AI agents using GRPO, suitable for developers looking to train their agents with specific LLMs like. [ai-agents-for-beginners](https://aka.ms/ai-agents-beginners) reports 73k GitHub stars, 24k forks, and 6 open issues, last pushed Aug 18, 2026. [ART](https://art.openpipe.ai) has 11k stars, 974 forks, and 127 open issues, last pushed Aug 19, 2026. Figures are from public GitHub metadata via [ai-agents-for-beginners's repository](https://github.com/microsoft/ai-agents-for-beginners) and [ART's repository](https://github.com/OpenPipe/ART). | | [ai-agents-for-beginners](/tools/microsoft-ai-agents-for-beginners.md) | [ART](/tools/openpipe-art.md) | | --- | --- | --- | | Tagline | 12 Lessons to Get Started Building AI Agents | Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. | | Stars | 72,665 | 10,603 | | Forks | 24,038 | 974 | | Open issues | 6 | 127 | | Language | Jupyter Notebook | Python | | Adopt for | Aimed at beginners, 'ai-agents-for-beginners' offers introductory lessons on building AI agents through practical modules in a multi-language environment. It's ideal for individuals new to AI Agents and interested in agē | ART is a specialized framework for training multi-step AI agents using GRPO, suitable for developers looking to train their agents with specific LLMs like Qwen3.6 and GPT-OSS. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents | AI Agents, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ai-agents-for-beginners](/tools/microsoft-ai-agents-for-beginners.md) | [ART](/tools/openpipe-art.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 6 | 127 | | Stars delta | +2.8k (30d) | +109 (30d) | | Open issues delta | +2 (30d) | +6 (30d) | | Full report | [trust report](/tools/microsoft-ai-agents-for-beginners/trust.md) | [trust report](/tools/openpipe-art/trust.md) | ## Decision facts: ai-agents-for-beginners - **Requirements:** The lessons are available in multiple languages for accessibility.; While some background knowledge of programming is helpful when starting this course, it is not mandatory to have prior experience. - **Adopt for:** Aimed at beginners, 'ai-agents-for-beginners' offers introductory lessons on building AI agents through practical modules in a multi-language environment. It's ideal for individuals new to AI Agents and interested in agē ## Decision facts: ART - **Adopt for:** ART is a specialized framework for training multi-step AI agents using GRPO, suitable for developers looking to train their agents with specific LLMs like Qwen3.6 and GPT-OSS. ## Choose when ### Choose ai-agents-for-beginners if… - ai-agents-for-beginners is primarily Jupyter Notebook; ART is Python. - License: ai-agents-for-beginners is MIT, ART is Apache-2.0. - Requirements: The lessons are available in multiple languages for accessibility.; While some background knowledge of programming is helpful when starting this course, it is not mandatory to have prior experience.. - Tags unique to ai-agents-for-beginners: agentic-framework, agentic-rag, ai-agents, ai-agents-framework. - - You are starting your journey into developing AI agents and want structured learning material that covers both foundational and more advanced concepts within AI agents like agentic-ai. ### Choose ART if… - ART is primarily Python; ai-agents-for-beginners is Jupyter Notebook. - License: ART is Apache-2.0, ai-agents-for-beginners is MIT. - Tags unique to ART: agent, grpo, llms, lora. - Also covers Model Training. - - When you need a framework that specifically supports the GRPO method for agent reinforcement learning. ## When NOT to use ai-agents-for-beginners - - This tool might not be suitable if you are already familiar with building AI agents and are looking for an advanced course that goes beyond basics. The content here is geared towards beginners. - - If your primary focus is on developing skills related exclusively to Generative AI (GenAI), the 'Generative AI For Beginners' course, which has a more extensive 21 lessons focused solely on GenAI, 2 ## When NOT to use ART - - Avoid ART if your training needs do not align with the GRPO method and you require a different approach for reinforcement learning. - - If your development revolves around non-supported Language Learning Models (LLMs), other than Qwen3.6, GPT-OSS, Llama etc., consider looking into alternative frameworks that offer broader model comp ## Common questions ### What is the difference between ai-agents-for-beginners and ART? ai-agents-for-beginners: 12 Lessons to Get Started Building AI Agents. ART: Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO.. See the comparison table for live GitHub stats and shared categories. ### When should I choose ai-agents-for-beginners over ART? Choose ai-agents-for-beginners over ART when ai-agents-for-beginners is primarily Jupyter Notebook; ART is Python; License: ai-agents-for-beginners is MIT, ART is Apache-2.0; Requirements: The lessons are available in multiple languages for accessibility.; While some background knowledge of programming is helpful when starting this course, it is not mandatory to have prior experience.; Tags unique to ai-agents-for-beginners: agentic-framework, agentic-rag, ai-agents, ai-agents-framework; - You are starting your journey into developing AI agents and want structured learning material that covers both foundational and more advanced concepts within AI agents like agentic-ai. ### When should I choose ART over ai-agents-for-beginners? Choose ART over ai-agents-for-beginners when ART is primarily Python; ai-agents-for-beginners is Jupyter Notebook; License: ART is Apache-2.0, ai-agents-for-beginners is MIT; Tags unique to ART: agent, grpo, llms, lora; Also covers Model Training; - When you need a framework that specifically supports the GRPO method for agent reinforcement learning. ### When should I avoid ai-agents-for-beginners? - This tool might not be suitable if you are already familiar with building AI agents and are looking for an advanced course that goes beyond basics. The content here is geared towards beginners. - If your primary focus is on developing skills related exclusively to Generative AI (GenAI), the 'Generative AI For Beginners' course, which has a more extensive 21 lessons focused solely on GenAI, 2 ### When should I avoid ART? - Avoid ART if your training needs do not align with the GRPO method and you require a different approach for reinforcement learning. - If your development revolves around non-supported Language Learning Models (LLMs), other than Qwen3.6, GPT-OSS, Llama etc., consider looking into alternative frameworks that offer broader model comp ### Is ai-agents-for-beginners or ART more popular on GitHub? ai-agents-for-beginners has more GitHub stars (72,665 vs 10,603). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-agents-for-beginners and ART open source? Yes - both are open-source projects on GitHub (ai-agents-for-beginners: MIT, ART: Apache-2.0). ### Where can I find alternatives to ai-agents-for-beginners or ART? GraphCanon lists graph-backed alternatives at [ai-agents-for-beginners alternatives](/tools/microsoft-ai-agents-for-beginners/alternatives) and [ART alternatives](/tools/openpipe-art/alternatives) ([ai-agents-for-beginners markdown twin](/tools/microsoft-ai-agents-for-beginners/alternatives.md), [ART markdown twin](/tools/openpipe-art/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/microsoft-ai-agents-for-beginners-vs-openpipe-art.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ai-agents-for-beginners or ART? ai-agents-for-beginners: Very active. ART: 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 ai-agents-for-beginners and ART? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ai-agents-for-beginners trust report](/tools/microsoft-ai-agents-for-beginners/trust); [ART trust report](/tools/openpipe-art/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=microsoft-ai-agents-for-beginners`](/api/graphcanon/graph?tool=microsoft-ai-agents-for-beginners) - 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/_