Comparison
chainlit vs hello-agents
Verdict
Pick chainlit if chainlit is a Python-based tool designed to streamline the development process of conversational AI applications, allowing developers to quickly build and interact with these apps; pick hello-agents if hello-agents is a comprehensive guide and hands-on tutorial for developing AI agents using LLMs (Large Language Models) and RAG methods.
Markdown twin · chainlit alternatives · hello-agents alternatives
GraphCanon updated today
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Trust & integrity
| Signal | chainlit | hello-agents |
|---|---|---|
| Maintenance | Active (29d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No criticals As of today · osv@v1 | No lockfile As of today · none |
Tagline
- chainlit
- Build Conversational AI in minutes ⚡️
- hello-agents
- Course on building intelligent agents from scratch
Stars
- chainlit
- 12k
- hello-agents
- 65k
Forks
- chainlit
- 1.7k
- hello-agents
- 8.1k
Open issues
- chainlit
- 126
- hello-agents
- 144
Language
- chainlit
- Python
- hello-agents
- Python
Adopt for
- chainlit
- Chainlit is a Python-based tool designed to streamline the development process of conversational AI applications, allowing developers to quickly build and interact with these apps.
- hello-agents
- hello-agents is a comprehensive guide and hands-on tutorial for developing AI agents using LLMs (Large Language Models) and RAG methods.
Persona
- chainlit
- -
- hello-agents
- -
Runtime
- chainlit
- -
- hello-agents
- -
License
- chainlit
- Apache-2.0
- hello-agents
- hello-agents is covered under an unconventional license which may require further review before usage.
Last pushed
- chainlit
- Jun 11, 2026
- hello-agents
- Jul 10, 2026
Categories
- chainlit
- AI Agents, LLM Frameworks
- hello-agents
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- chainlit
- Active (82%)
- hello-agents
- Very active (96%)
Days since push
- chainlit
- 29d
- hello-agents
- 0d
Open issues (now)
- chainlit
- 126
- hello-agents
- 144
Security scan
- chainlit
- No criticals
- hello-agents
- No lockfile
Full report
- chainlit
- Trust report
- hello-agents
- Trust report
Choose chainlit if…
- License: chainlit is Apache-2.0, hello-agents is Other.
- Tags unique to chainlit: chatgpt, langchain, openai, openai-chatgpt.
- - When you want to develop conversational AI applications rapidly using familiar Python syntax.
When NOT to use chainlit
- - Avoid if your development team is not comfortable with Python as Chainlit relies heavily on its ecosystem for rapid conversational AI development.
- - Not suitable if you require customization in low-level components, as it abstracts a lot of these away to provide quick builds.
Choose hello-agents if…
- License: hello-agents is Other, chainlit is Apache-2.0.
- Requirements: Min 4 GB RAM; Python knowledge assumed.
- Tags unique to hello-agents: agent, rag, tutorial.
- You should use hello-agents if you are interested in practical, step-by-step instructions on building intelligent agents from the ground up.
When NOT to use hello-agents
- Avoid using hello-agents if you are looking for a quick, superficial introduction to AI agents; this tool focuses heavily on in-depth learning and practical application.
- Do not opt for hello-agents if you want a more general AI development resource; unlike some competitors, it has a narrower focus specifically on agent creation with advanced methods like LLMs and RAG.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Chainlit/chainlit) · observed Jul 11, 2026
- GitHub forks (Chainlit/chainlit) · observed Jul 11, 2026
- Last push (Chainlit/chainlit) · observed Jun 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (datawhalechina/hello-agents) · observed Jul 11, 2026
- GitHub forks (datawhalechina/hello-agents) · observed Jul 11, 2026
- Last push (datawhalechina/hello-agents) · observed Jul 10, 2026
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: chainlit 12k · hello-agents 65k (synced Jul 11, 2026).
Common questions
- What is the difference between chainlit and hello-agents?
- chainlit: Build Conversational AI in minutes ⚡️. hello-agents: Course on building intelligent agents from scratch. See the comparison table for live GitHub stats and shared categories.
- When should I choose chainlit over hello-agents?
- Choose chainlit over hello-agents when License: chainlit is Apache-2.0, hello-agents is Other; Tags unique to chainlit: chatgpt, langchain, openai, openai-chatgpt; - When you want to develop conversational AI applications rapidly using familiar Python syntax.
- When should I choose hello-agents over chainlit?
- Choose hello-agents over chainlit when License: hello-agents is Other, chainlit is Apache-2.0; Requirements: Min 4 GB RAM; Python knowledge assumed; Tags unique to hello-agents: agent, rag, tutorial; You should use hello-agents if you are interested in practical, step-by-step instructions on building intelligent agents from the ground up.
- When should I avoid chainlit?
- - Avoid if your development team is not comfortable with Python as Chainlit relies heavily on its ecosystem for rapid conversational AI development. - Not suitable if you require customization in low-level components, as it abstracts a lot of these away to provide quick builds.
- When should I avoid hello-agents?
- Avoid using hello-agents if you are looking for a quick, superficial introduction to AI agents; this tool focuses heavily on in-depth learning and practical application. Do not opt for hello-agents if you want a more general AI development resource; unlike some competitors, it has a narrower focus specifically on agent creation with advanced methods like LLMs and RAG.
- Is chainlit or hello-agents more popular on GitHub?
- hello-agents has more GitHub stars (65,432 vs 12,293). Stars measure visibility, not whether either tool fits your constraints.
- Are chainlit and hello-agents open source?
- Yes - both are open-source projects on GitHub (chainlit: Apache-2.0, hello-agents: Other).
- Where can I find alternatives to chainlit or hello-agents?
- GraphCanon lists graph-backed alternatives at chainlit alternatives and hello-agents alternatives (chainlit markdown twin, hello-agents 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, chainlit or hello-agents?
- chainlit: Active. hello-agents: 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 chainlit and hello-agents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: chainlit trust report; hello-agents trust report.