--- title: "chroma-cookbooks vs hello-agents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/chroma-core-chroma-cookbooks-vs-datawhalechina-hello-agents" tools: ["chroma-core-chroma-cookbooks", "datawhalechina-hello-agents"] --- # chroma-cookbooks vs hello-agents *GraphCanon updated Jul 15, 2026* ## Verdict Pick chroma-cookbooks when chroma-cookbooks is primarily Jupyter Notebook; hello-agents is Python; pick hello-agents when hello-agents is primarily Python; chroma-cookbooks is Jupyter Notebook. [chroma-cookbooks](https://trychroma.com) reports 93 GitHub stars, 16 forks, and 0 open issues, last pushed Mar 16, 2026. [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 [chroma-cookbooks's repository](https://github.com/chroma-core/chroma-cookbooks) and [hello-agents's repository](https://github.com/datawhalechina/hello-agents). | | [chroma-cookbooks](/tools/chroma-core-chroma-cookbooks.md) | [hello-agents](/tools/datawhalechina-hello-agents.md) | | --- | --- | --- | | Tagline | Demos and sample apps using Chroma | Course on building intelligent agents from scratch | | Stars | 93 | 65,432 | | Forks | 16 | 8,109 | | Open issues | 0 | 144 | | Language | Jupyter Notebook | 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 | - | hello-agents is covered under an unconventional license which may require further review before usage. | | Categories | AI Agents, Evaluation & Observability, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [chroma-cookbooks](/tools/chroma-core-chroma-cookbooks.md) | [hello-agents](/tools/datawhalechina-hello-agents.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 120d | 0d | | Open issues (now) | 0 | 144 | | Full report | [trust report](/tools/chroma-core-chroma-cookbooks/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 chroma-cookbooks if… - chroma-cookbooks is primarily Jupyter Notebook; hello-agents is Python. - Tags unique to chroma-cookbooks: ai, ai-agents, chromadb, jupyter-notebook. - Also covers Evaluation & Observability. ### Choose hello-agents if… - hello-agents is primarily Python; chroma-cookbooks is Jupyter Notebook. - 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 chroma-cookbooks - Last GitHub push was 121 days ago (slowing maintenance, Mar 16, 2026). Validate activity before betting a new project on chroma-cookbooks. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. - 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 chroma-cookbooks and hello-agents? chroma-cookbooks: Demos and sample apps using Chroma. hello-agents: Course on building intelligent agents from scratch. See the comparison table for live GitHub stats and shared categories. ### When should I choose chroma-cookbooks over hello-agents? Choose chroma-cookbooks over hello-agents when chroma-cookbooks is primarily Jupyter Notebook; hello-agents is Python; Tags unique to chroma-cookbooks: ai, ai-agents, chromadb, jupyter-notebook; Also covers Evaluation & Observability. ### When should I choose hello-agents over chroma-cookbooks? Choose hello-agents over chroma-cookbooks when hello-agents is primarily Python; chroma-cookbooks is Jupyter Notebook; 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 chroma-cookbooks? Last GitHub push was 121 days ago (slowing maintenance, Mar 16, 2026). Validate activity before betting a new project on chroma-cookbooks. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. 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 chroma-cookbooks or hello-agents more popular on GitHub? hello-agents has more GitHub stars (65,432 vs 93). Stars measure visibility, not whether either tool fits your constraints. ### Are chroma-cookbooks and hello-agents open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to chroma-cookbooks or hello-agents? GraphCanon lists graph-backed alternatives at [chroma-cookbooks alternatives](/tools/chroma-core-chroma-cookbooks/alternatives) and [hello-agents alternatives](/tools/datawhalechina-hello-agents/alternatives) ([chroma-cookbooks markdown twin](/tools/chroma-core-chroma-cookbooks/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/chroma-core-chroma-cookbooks-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, chroma-cookbooks or hello-agents? chroma-cookbooks: Slowing. 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 chroma-cookbooks and hello-agents? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [chroma-cookbooks trust report](/tools/chroma-core-chroma-cookbooks/trust); [hello-agents trust report](/tools/datawhalechina-hello-agents/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=chroma-core-chroma-cookbooks`](/api/graphcanon/graph?tool=chroma-core-chroma-cookbooks) - 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/_