--- title: "hyv vs hello-agents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/blib-la-hyv-vs-datawhalechina-hello-agents" tools: ["blib-la-hyv", "datawhalechina-hello-agents"] --- # hyv vs hello-agents *GraphCanon updated Jul 11, 2026* ## Verdict Pick hyv when hyv is primarily TypeScript; hello-agents is Python; pick hello-agents when hello-agents is primarily Python; hyv is TypeScript. [hyv](https://github.com/blib-la/hyv) reports 24 GitHub stars, 3 forks, and 0 open issues, last pushed Mar 3, 2024. [hello-agents](https://hello-agents.datawhale.cc) has 65k stars, 8.1k forks, and 144 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [hyv's repository](https://github.com/blib-la/hyv) and [hello-agents's repository](https://github.com/datawhalechina/hello-agents). | | [hyv](/tools/blib-la-hyv.md) | [hello-agents](/tools/datawhalechina-hello-agents.md) | | --- | --- | --- | | Tagline | Chaining AI & API agents to streamline software development and achieve goals collaboratively. | Course on building intelligent agents from scratch | | Stars | 24 | 65,432 | | Forks | 3 | 8,109 | | Open issues | 0 | 144 | | Language | TypeScript | Python | | Adopt for | - | hello-agents is a comprehensive guide and hands-on tutorial for developing AI agents using LLMs (Large Language Models) and RAG methods. | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | hello-agents is covered under an unconventional license which may require further review before usage. | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [hyv](/tools/blib-la-hyv.md) | [hello-agents](/tools/datawhalechina-hello-agents.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 859d | 0d | | Open issues (now) | 0 | 144 | | Full report | [trust report](/tools/blib-la-hyv/trust.md) | [trust report](/tools/datawhalechina-hello-agents/trust.md) | ## Decision facts: hello-agents - **Requirements:** Min 4 GB RAM; Python knowledge assumed - **Adopt for:** hello-agents is a comprehensive guide and hands-on tutorial for developing AI agents using LLMs (Large Language Models) and RAG methods. - **License detail:** hello-agents is covered under an unconventional license which may require further review before usage. ## Choose when ### Choose hyv if… - hyv is primarily TypeScript; hello-agents is Python. - License: hyv is AGPL-3.0, hello-agents is Other. - Tags unique to hyv: agents, ai, alpaca, artificial-intelligence. ### Choose hello-agents if… - hello-agents is primarily Python; hyv is TypeScript. - License: hello-agents is Other, hyv is AGPL-3.0. - Requirements: Min 4 GB RAM; Python knowledge assumed. - 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 hyv - Last GitHub push was 860 days ago (dormant maintenance, Mar 3, 2024). Validate activity before betting a new project on hyv. - 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. ## 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. ## Common questions ### What is the difference between hyv and hello-agents? hyv: Chaining AI & API agents to streamline software development and achieve goals collaboratively.. hello-agents: Course on building intelligent agents from scratch. See the comparison table for live GitHub stats and shared categories. ### When should I choose hyv over hello-agents? Choose hyv over hello-agents when hyv is primarily TypeScript; hello-agents is Python; License: hyv is AGPL-3.0, hello-agents is Other; Tags unique to hyv: agents, ai, alpaca, artificial-intelligence. ### When should I choose hello-agents over hyv? Choose hello-agents over hyv when hello-agents is primarily Python; hyv is TypeScript; License: hello-agents is Other, hyv is AGPL-3.0; Requirements: Min 4 GB RAM; Python knowledge assumed; 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 avoid hyv? Last GitHub push was 860 days ago (dormant maintenance, Mar 3, 2024). Validate activity before betting a new project on hyv. 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. ### 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 hyv or hello-agents more popular on GitHub? hello-agents has more GitHub stars (65,432 vs 24). Stars measure visibility, not whether either tool fits your constraints. ### Are hyv and hello-agents open source? Yes - both are open-source projects on GitHub (hyv: AGPL-3.0, hello-agents: Other). ### Where can I find alternatives to hyv or hello-agents? GraphCanon lists graph-backed alternatives at [hyv alternatives](/tools/blib-la-hyv/alternatives) and [hello-agents alternatives](/tools/datawhalechina-hello-agents/alternatives) ([hyv markdown twin](/tools/blib-la-hyv/alternatives.md), [hello-agents markdown twin](/tools/datawhalechina-hello-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/blib-la-hyv-vs-datawhalechina-hello-agents.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, hyv or hello-agents? hyv: Dormant. 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 hyv and hello-agents? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [hyv trust report](/tools/blib-la-hyv/trust); [hello-agents trust report](/tools/datawhalechina-hello-agents/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=blib-la-hyv`](/api/graphcanon/graph?tool=blib-la-hyv) - 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/_