Comparison
hello-agents vs RasaGPT
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 RasaGPT if rasaGPT is a pioneering headless chatbot platform that merges Rasa with technologies like FastAPI, Langchain, and LlamaIndex.
Markdown twin · hello-agents alternatives · RasaGPT alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | hello-agents | RasaGPT |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (299d since push) As of Sep 8, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 8, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) 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 | Not queried openssf-scorecard@v1 |
Tagline
- hello-agents
- A comprehensive guide to building intelligent agents from scratch
- RasaGPT
- First headless LLM chatbot platform built on top of Rasa and Langchain
Stars
- hello-agents
- 80k
- RasaGPT
- 2.5k
Forks
- hello-agents
- 9.9k
- RasaGPT
- 250
Open issues
- hello-agents
- 82
- RasaGPT
- 57
Language
- hello-agents
- Python
- RasaGPT
- Python
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.
- RasaGPT
- RasaGPT is a pioneering headless chatbot platform that merges Rasa with technologies like FastAPI, Langchain, and LlamaIndex.
Persona
- hello-agents
- -
- RasaGPT
- -
Runtime
- hello-agents
- -
- RasaGPT
- -
License
- hello-agents
- The license is not specified as open source, but the content is free to read and learn from.
- RasaGPT
- MIT
Last pushed
- hello-agents
- Sep 17, 2026
- RasaGPT
- Nov 12, 2025
Categories
- hello-agents
- AI Agents, Model Training
- RasaGPT
- AI Agents, Inference & Serving, Model Training
Trust and health
Maintenance
- hello-agents
- Very active (96%)
- RasaGPT
- Slowing (36%)
Days since push
- hello-agents
- 0d
- RasaGPT
- 299d
Open issues (now)
- hello-agents
- 82
- RasaGPT
- 57
Stars delta
- hello-agents
- +6.6k (30d)
- RasaGPT
- -1 (30d)
Open issues delta
- hello-agents
- -73 (30d)
- RasaGPT
- 0 (30d)
Owner type
- hello-agents
- Organization
- RasaGPT
- User
Full report
- hello-agents
- Trust report
- RasaGPT
- Trust report
Choose hello-agents if…
- License: hello-agents is Other, RasaGPT 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..
- Tags unique to hello-agents: agent, llm, rag, tutorial.
- 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 RasaGPT if…
- License: RasaGPT is MIT, hello-agents is Other.
- Tags unique to RasaGPT: ai, chatbot, fastapi, langchain.
- Also covers Inference & Serving.
- RasaGPT ships Docker support for self-hosted deployment.
- When you need a robust framework for developing conversational AI solutions and are already familiar with Rasa's ecosystem.
When NOT to use RasaGPT
- For users preferring platforms that require less technical setup, particularly without needing Docker or specific Python versions.
- Avoid if development is focused on non-headless chatbot applications that don't leverage the Rasa framework's architecture.
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 (paulpierre/RasaGPT) · observed Sep 20, 2026
- GitHub forks (paulpierre/RasaGPT) · observed Sep 20, 2026
- Last push (paulpierre/RasaGPT) · observed Nov 12, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: hello-agents 80k · RasaGPT 2.5k (synced Sep 20, 2026).
Common questions
- What is the difference between hello-agents and RasaGPT?
- hello-agents: A comprehensive guide to building intelligent agents from scratch. RasaGPT: First headless LLM chatbot platform built on top of Rasa and Langchain. See the comparison table for live GitHub stats and shared categories.
- When should I choose hello-agents over RasaGPT?
- Choose hello-agents over RasaGPT when License: hello-agents is Other, RasaGPT 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.; Tags unique to hello-agents: agent, llm, rag, tutorial; When you want to focus on building AI-native agents and understand their core principles and practical implementation.
- When should I choose RasaGPT over hello-agents?
- Choose RasaGPT over hello-agents when License: RasaGPT is MIT, hello-agents is Other; Tags unique to RasaGPT: ai, chatbot, fastapi, langchain; Also covers Inference & Serving; RasaGPT ships Docker support for self-hosted deployment; When you need a robust framework for developing conversational AI solutions and are already familiar with Rasa's ecosystem.
- 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 RasaGPT?
- For users preferring platforms that require less technical setup, particularly without needing Docker or specific Python versions. Avoid if development is focused on non-headless chatbot applications that don't leverage the Rasa framework's architecture.
- Is hello-agents or RasaGPT more popular on GitHub?
- hello-agents has more GitHub stars (79,727 vs 2,463). Stars measure visibility, not whether either tool fits your constraints.
- Are hello-agents and RasaGPT open source?
- Yes - both are open-source projects on GitHub (hello-agents: Other, RasaGPT: MIT).
- Where can I find alternatives to hello-agents or RasaGPT?
- GraphCanon lists graph-backed alternatives at hello-agents alternatives and RasaGPT alternatives (hello-agents markdown twin, RasaGPT 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 RasaGPT?
- hello-agents: Very active. RasaGPT: Slowing. 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 RasaGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hello-agents trust report; RasaGPT trust report.