Comparison
hello-agents vs ai-agents-for-beginners
Verdict
Pick hello-agents if hello-Agents is a systematic learning tutorial for building AI-native intelligent agents, offering hands-on experience with core principles and practical implementation in Python; 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.
Markdown twin · hello-agents alternatives · ai-agents-for-beginners alternatives
GraphCanon updated Sep 20, 2026
16views this month
vs
Trust & integrity
| Signal | hello-agents | ai-agents-for-beginners |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No published findings from this source as of 2026-07-11 As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | No public record from this source As of Sep 27, 2026 · openssf-scorecard@v1 |
Tagline
- hello-agents
- A comprehensive guide to building intelligent agents from scratch
- ai-agents-for-beginners
- 12 Lessons to Get Started Building AI Agents
Stars
- hello-agents
- 80k
- ai-agents-for-beginners
- 75k
Forks
- hello-agents
- 9.9k
- ai-agents-for-beginners
- 25k
Open issues
- hello-agents
- 82
- ai-agents-for-beginners
- 17
Language
- hello-agents
- Python
- ai-agents-for-beginners
- Jupyter Notebook
Adopt for
- hello-agents
- Hello-Agents is a systematic learning tutorial for building AI-native intelligent agents, offering hands-on experience with core principles and practical implementation in Python.
- ai-agents-for-beginners
- 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
- hello-agents
- -
- ai-agents-for-beginners
- -
Runtime
- hello-agents
- -
- ai-agents-for-beginners
- -
License
- hello-agents
- The license is not specified as open source, but the content is free to read and learn from.
- ai-agents-for-beginners
- MIT
Last pushed
- hello-agents
- Sep 17, 2026
- ai-agents-for-beginners
- Sep 19, 2026
Categories
- hello-agents
- AI Agents, Model Training
- ai-agents-for-beginners
- AI Agents
Trust and health
Open issues (now)
- hello-agents
- 82
- ai-agents-for-beginners
- 17
Stars delta
- hello-agents
- +6.6k (30d)
- ai-agents-for-beginners
- +2.5k (30d)
Open issues delta
- hello-agents
- -73 (30d)
- ai-agents-for-beginners
- +11 (30d)
OSV dependency advisories
- hello-agents
- No lockfile (source not queried)
- ai-agents-for-beginners
- No published findings from this source as of 2026-07-11
OpenSSF Scorecard
- hello-agents
- Not queried
- ai-agents-for-beginners
- No public record from this source
Full report
- hello-agents
- Trust report
- ai-agents-for-beginners
- Trust report
Typed relationship
hello-agents ai-agents-for-beginnersBoth 'Hello-Agents' and 'AI Agents for Beginners' are tutorials focused on introducing users to the concept of building intelligent agents, with a practical approach aimed at beginners.
Choose hello-agents if…
- hello-agents is primarily Python; ai-agents-for-beginners is Jupyter Notebook.
- License: hello-agents is Other, ai-agents-for-beginners is MIT.
- Pricing: The content is free to access and learn from, but there may be additional paid services or support options not detailed in the repository..
- Requirements: Min 4 GB RAM; Python is required for practical implementation and hands-on experience with the HelloAgents framework..
- Both 'Hello-Agents' and 'AI Agents for Beginners' are tutorials focused on introducing users to the concept of building intelligent agents, with a practical approach aimed at beginners.
- Tags unique to hello-agents: agent, llm, rag, tutorial.
- Also covers Model Training.
- When you want to focus on building AI-native agents and understand their core principles and practical implementation.
When NOT to use hello-agents
- If you are looking for a tutorial that focuses on software engineering-based agents like Dify or Coze, which are more about process-driven software development.
- If you prefer a tool that does not emphasize the hands-on construction of an agent framework from the ground up using OpenAI's native API.
Choose ai-agents-for-beginners if…
- ai-agents-for-beginners is primarily Jupyter Notebook; hello-agents is Python.
- License: ai-agents-for-beginners is MIT, hello-agents is Other.
- 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..
- Both 'Hello-Agents' and 'AI Agents for Beginners' are tutorials focused on introducing users to the concept of building intelligent agents, with a practical approach aimed at beginners.
- Tags unique to ai-agents-for-beginners: agentic-ai, agentic-framework, agentic-rag, ai-agents.
- - 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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (datawhalechina/hello-agents) · observed Sep 20, 2026
- GitHub forks (datawhalechina/hello-agents) · observed Sep 20, 2026
- Last push (datawhalechina/hello-agents) · observed Sep 17, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (microsoft/ai-agents-for-beginners) · observed Sep 20, 2026
- GitHub forks (microsoft/ai-agents-for-beginners) · observed Sep 20, 2026
- Last push (microsoft/ai-agents-for-beginners) · observed Sep 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: hello-agents 80k · ai-agents-for-beginners 75k (synced Sep 20, 2026).
Common questions
- What is the difference between hello-agents and ai-agents-for-beginners?
- hello-agents: A comprehensive guide to building intelligent agents from scratch. ai-agents-for-beginners: 12 Lessons to Get Started Building AI Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose hello-agents over ai-agents-for-beginners?
- Choose hello-agents over ai-agents-for-beginners when hello-agents is primarily Python; ai-agents-for-beginners is Jupyter Notebook; License: hello-agents is Other, ai-agents-for-beginners is MIT; Pricing: The content is free to access and learn from, but there may be additional paid services or support options not detailed in the repository.; Requirements: Min 4 GB RAM; Python is required for practical implementation and hands-on experience with the HelloAgents framework.; Both 'Hello-Agents' and 'AI Agents for Beginners' are tutorials focused on introducing users to the concept of building intelligent agents, with a practical approach aimed at beginners; Tags unique to hello-agents: agent, llm, rag, tutorial; Also covers Model Training; When you want to focus on building AI-native agents and understand their core principles and practical implementation.
- When should I choose ai-agents-for-beginners over hello-agents?
- Choose ai-agents-for-beginners over hello-agents when ai-agents-for-beginners is primarily Jupyter Notebook; hello-agents is Python; License: ai-agents-for-beginners is MIT, hello-agents is Other; 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.; Both 'Hello-Agents' and 'AI Agents for Beginners' are tutorials focused on introducing users to the concept of building intelligent agents, with a practical approach aimed at beginners; Tags unique to ai-agents-for-beginners: agentic-ai, agentic-framework, agentic-rag, ai-agents; - 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 avoid hello-agents?
- If you are looking for a tutorial that focuses on software engineering-based agents like Dify or Coze, which are more about process-driven software development. If you prefer a tool that does not emphasize the hands-on construction of an agent framework from the ground up using OpenAI's native API.
- 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
- Is hello-agents or ai-agents-for-beginners more popular on GitHub?
- hello-agents has more GitHub stars (79,727 vs 75,177). Stars measure visibility, not whether either tool fits your constraints.
- Are hello-agents and ai-agents-for-beginners open source?
- Yes - both are open-source projects on GitHub (hello-agents: Other, ai-agents-for-beginners: MIT).
- Where can I find alternatives to hello-agents or ai-agents-for-beginners?
- GraphCanon lists graph-backed alternatives at hello-agents alternatives and ai-agents-for-beginners alternatives (hello-agents markdown twin, ai-agents-for-beginners markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, hello-agents or ai-agents-for-beginners?
- hello-agents: Very active. ai-agents-for-beginners: 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 hello-agents and ai-agents-for-beginners?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hello-agents trust report; ai-agents-for-beginners trust report.