Comparison
hello-agents vs langchain
Verdict
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; pick langchain if langChain is an open-source platform designed specifically for building agents and applications that leverage large language models (LLMs). It provides a standard framework to develop interoperable components and connect.
Markdown twin · hello-agents alternatives · langchain alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | hello-agents | langchain |
|---|---|---|
| Maintenance | Very active (1d since push) As of 3d · github_public_v1 | Very active (0d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3d · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- Course on building intelligent agents from scratch
- langchain
- The agent engineering platform.
Stars
- hello-agents
- 73k
- langchain
- 144k
Forks
- hello-agents
- 9.1k
- langchain
- 24k
Open issues
- hello-agents
- 155
- langchain
- 463
Language
- hello-agents
- Python
- langchain
- Python
Adopt for
- hello-agents
- hello-agents is a comprehensive guide and hands-on tutorial for developing AI agents using LLMs (Large Language Models) and RAG methods.
- langchain
- LangChain is an open-source platform designed specifically for building agents and applications that leverage large language models (LLMs). It provides a standard framework to develop interoperable components and connect
Persona
- hello-agents
- -
- langchain
- -
Runtime
- hello-agents
- -
- langchain
- -
License
- hello-agents
- hello-agents is covered under an unconventional license which may require further review before usage.
- langchain
- MIT License, allowing free use for both personal and commercial purposes under its stipulated terms.
Last pushed
- hello-agents
- Aug 14, 2026
- langchain
- Aug 7, 2026
Categories
- hello-agents
- AI Agents, LLM Frameworks
- langchain
- AI Agents, LLM Frameworks
Trust and health
Days since push
- hello-agents
- 1d
- langchain
- 0d
Open issues (now)
- hello-agents
- 155
- langchain
- 463
Stars delta
- hello-agents
- +6.4k (30d)
- langchain
- +2.3k (30d)
Open issues delta
- hello-agents
- +8 (30d)
- langchain
- +57 (30d)
Full report
- hello-agents
- Trust report
- langchain
- Trust report
Typed relationship
hello-agents integrates langchainHello-Agents provides a comprehensive guide to building intelligent agents, which can be used in conjunction with the LangChain platform for deploying and managing AI-powered workflows.
Shared compatibility
- LangGraph · hello-agents: LangGraph integration · langchain: LangGraph integration
Choose hello-agents if…
- License: hello-agents is Other, langchain is MIT.
- Requirements: Min 4 GB RAM; Python knowledge assumed.
- Hello-Agents provides a comprehensive guide to building intelligent agents, which can be used in conjunction with the LangChain platform for deploying and managing AI-powered workflows.
- Tags unique to hello-agents: agent, llm, 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.
Choose langchain if…
- License: langchain is MIT, hello-agents is Other.
- Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI..
- Hello-Agents provides a comprehensive guide to building intelligent agents, which can be used in conjunction with the LangChain platform for deploying and managing AI-powered workflows.
- Tags unique to langchain: agents, ai-agents, anthropic, chatgpt.
- * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations.
When NOT to use langchain
- * When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity.
- * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth
- * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework.
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 Aug 16, 2026
- GitHub forks (datawhalechina/hello-agents) · observed Aug 16, 2026
- Last push (datawhalechina/hello-agents) · observed Aug 14, 2026
- License file (Other) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (langchain-ai/langchain) · observed Aug 7, 2026
- GitHub forks (langchain-ai/langchain) · observed Aug 7, 2026
- Last push (langchain-ai/langchain) · observed Aug 7, 2026
- License file (MIT) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: hello-agents 73k · langchain 144k (synced Aug 16, 2026).
Common questions
- What is the difference between hello-agents and langchain?
- hello-agents: Course on building intelligent agents from scratch. langchain: The agent engineering platform.. See the comparison table for live GitHub stats and shared categories.
- When should I choose hello-agents over langchain?
- Choose hello-agents over langchain when License: hello-agents is Other, langchain is MIT; Requirements: Min 4 GB RAM; Python knowledge assumed; Hello-Agents provides a comprehensive guide to building intelligent agents, which can be used in conjunction with the LangChain platform for deploying and managing AI-powered workflows; Tags unique to hello-agents: agent, llm, 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 choose langchain over hello-agents?
- Choose langchain over hello-agents when License: langchain is MIT, hello-agents is Other; Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI.; Hello-Agents provides a comprehensive guide to building intelligent agents, which can be used in conjunction with the LangChain platform for deploying and managing AI-powered workflows; Tags unique to langchain: agents, ai-agents, anthropic, chatgpt; * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations.
- 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.
- When should I avoid langchain?
- * When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity. * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework.
- Is hello-agents or langchain more popular on GitHub?
- langchain has more GitHub stars (143,615 vs 73,126). Stars measure visibility, not whether either tool fits your constraints.
- Are hello-agents and langchain open source?
- Yes - both are open-source projects on GitHub (hello-agents: Other, langchain: MIT).
- Where can I find alternatives to hello-agents or langchain?
- GraphCanon lists graph-backed alternatives at hello-agents alternatives and langchain alternatives (hello-agents markdown twin, langchain 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 langchain?
- hello-agents: Very active. langchain: 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 langchain?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hello-agents trust report; langchain trust report.