--- title: "ai-agents-for-beginners vs llm_agents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-ai-agents-for-beginners-vs-mpaepper-llm-agents" tools: ["microsoft-ai-agents-for-beginners", "mpaepper-llm-agents"] --- # ai-agents-for-beginners vs llm_agents *GraphCanon updated Jul 11, 2026* ## Verdict Pick ai-agents-for-beginners when ai-agents-for-beginners is primarily Jupyter Notebook; llm_agents is Python; pick llm_agents when llm_agents is primarily Python; ai-agents-for-beginners is Jupyter Notebook. [ai-agents-for-beginners](https://aka.ms/ai-agents-beginners) reports 69k GitHub stars, 23k forks, and 19 open issues, last pushed Jul 9, 2026. [llm_agents](https://www.paepper.com/blog/posts/intelligent-agents-guided-by-llms/) has 1.1k stars, 85 forks, and 3 open issues, last pushed Jun 23, 2025. Figures are from public GitHub metadata via [ai-agents-for-beginners's repository](https://github.com/microsoft/ai-agents-for-beginners) and [llm_agents's repository](https://github.com/mpaepper/llm_agents). | | [ai-agents-for-beginners](/tools/microsoft-ai-agents-for-beginners.md) | [llm_agents](/tools/mpaepper-llm-agents.md) | | --- | --- | --- | | Tagline | 12 Lessons to Get Started Building AI Agents | Build agents which are controlled by LLMs | | Stars | 68,988 | 1,050 | | Forks | 22,886 | 85 | | Open issues | 19 | 3 | | 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 | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ai-agents-for-beginners](/tools/microsoft-ai-agents-for-beginners.md) | [llm_agents](/tools/mpaepper-llm-agents.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 1d | 382d | | Open issues (now) | 19 | 3 | | Owner type | Organization | User | | Security scan | No criticals | 32 low (32 low) | | Full report | [trust report](/tools/microsoft-ai-agents-for-beginners/trust.md) | [trust report](/tools/mpaepper-llm-agents/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 ## Choose when ### Choose ai-agents-for-beginners if… - ai-agents-for-beginners is primarily Jupyter Notebook; llm_agents is Python. - 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: autogen, agentic-framework, semantic-kernel, generative-ai. - - 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 llm_agents if… - llm_agents is primarily Python; ai-agents-for-beginners is Jupyter Notebook. - Tags unique to llm_agents: llms, deep-learning, machine-learning, python. - Also covers LLM Frameworks. ## 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 llm_agents - Last GitHub push was 383 days ago (dormant maintenance, Jun 23, 2025). Validate activity before betting a new project on llm_agents. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between ai-agents-for-beginners and llm_agents? ai-agents-for-beginners: 12 Lessons to Get Started Building AI Agents. llm_agents: Build agents which are controlled by LLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose ai-agents-for-beginners over llm_agents? Choose ai-agents-for-beginners over llm_agents when ai-agents-for-beginners is primarily Jupyter Notebook; llm_agents is Python; 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: autogen, agentic-framework, semantic-kernel, generative-ai; - 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 llm_agents over ai-agents-for-beginners? Choose llm_agents over ai-agents-for-beginners when llm_agents is primarily Python; ai-agents-for-beginners is Jupyter Notebook; Tags unique to llm_agents: llms, deep-learning, machine-learning, python; Also covers LLM Frameworks. ### 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 llm_agents? Last GitHub push was 383 days ago (dormant maintenance, Jun 23, 2025). Validate activity before betting a new project on llm_agents. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is ai-agents-for-beginners or llm_agents more popular on GitHub? ai-agents-for-beginners has more GitHub stars (68,988 vs 1,050). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-agents-for-beginners and llm_agents open source? Yes - both are open-source projects on GitHub (ai-agents-for-beginners: MIT, llm_agents: MIT). ### Where can I find alternatives to ai-agents-for-beginners or llm_agents? GraphCanon lists graph-backed alternatives at [ai-agents-for-beginners alternatives](/tools/microsoft-ai-agents-for-beginners/alternatives) and [llm_agents alternatives](/tools/mpaepper-llm-agents/alternatives) ([ai-agents-for-beginners markdown twin](/tools/microsoft-ai-agents-for-beginners/alternatives.md), [llm_agents markdown twin](/tools/mpaepper-llm-agents/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-mpaepper-llm-agents.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 llm_agents? ai-agents-for-beginners: Very active. llm_agents: Dormant. 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 llm_agents? 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); [llm_agents trust report](/tools/mpaepper-llm-agents/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/_