--- title: "tutor-gpt vs awesome-LLM-resources" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/plastic-labs-tutor-gpt-vs-wangrongsheng-awesome-llm-resources" tools: ["plastic-labs-tutor-gpt", "wangrongsheng-awesome-llm-resources"] --- # tutor-gpt vs awesome-LLM-resources *GraphCanon updated Aug 17, 2026* ## Verdict Pick tutor-gpt if tutor-gpt - AI tutor with Theory-of-Mind for personalized education; pick awesome-LLM-resources if awesome-LLM-resources offers a curated and comprehensive list of resources related to Large Language Models (LLMs), including materials for specialized areas like RAG (Retrieval-Augmented Generation) and agentic RL, as a. [tutor-gpt](https://discord.gg/plasticlabs) reports 921 GitHub stars, 99 forks, and 4 open issues, last pushed Feb 20, 2026. [awesome-LLM-resources](https://github.com/WangRongsheng/awesome-LLM-resources) has 8.8k stars, 950 forks, and 23 open issues, last pushed Aug 14, 2026. Figures are from public GitHub metadata via [tutor-gpt's repository](https://github.com/plastic-labs/tutor-gpt) and [awesome-LLM-resources's repository](https://github.com/WangRongsheng/awesome-LLM-resources). | | [tutor-gpt](/tools/plastic-labs-tutor-gpt.md) | [awesome-LLM-resources](/tools/wangrongsheng-awesome-llm-resources.md) | | --- | --- | --- | | Tagline | AI tutor powered by Theory-of-Mind reasoning | Summary of the world's best LLM resources. | | Stars | 921 | 8,845 | | Forks | 99 | 950 | | Open issues | 4 | 23 | | Language | TypeScript | - | | Adopt for | tutor-gpt - AI tutor with Theory-of-Mind for personalized education | awesome-LLM-resources offers a curated and comprehensive list of resources related to Large Language Models (LLMs), including materials for specialized areas like RAG (Retrieval-Augmented Generation) and agentic RL, as a | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0 | Apache-2.0 | | Categories | Evaluation & Observability, LLM Frameworks | AI Agents, Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [tutor-gpt](/tools/plastic-labs-tutor-gpt.md) | [awesome-LLM-resources](/tools/wangrongsheng-awesome-llm-resources.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 175d | 2d | | Open issues (now) | 4 | 23 | | Stars delta | +8 (30d) | +142 (30d) | | Open issues delta | 0 (30d) | -13 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/plastic-labs-tutor-gpt/trust.md) | [trust report](/tools/wangrongsheng-awesome-llm-resources/trust.md) | ## Decision facts: tutor-gpt - **Adopt for:** tutor-gpt - AI tutor with Theory-of-Mind for personalized education ## Decision facts: awesome-LLM-resources - **Adopt for:** awesome-LLM-resources offers a curated and comprehensive list of resources related to Large Language Models (LLMs), including materials for specialized areas like RAG (Retrieval-Augmented Generation) and agentic RL, as a ## Choose when ### Choose tutor-gpt if… - License: tutor-gpt is GPL-3.0, awesome-LLM-resources is Apache-2.0. - Tags unique to tutor-gpt: ai, education, hacktoberfest, literacy. - tutor-gpt ships Docker support for self-hosted deployment. - For creating an educational experience that adapts to the cognitive and emotional state of students ### Choose awesome-LLM-resources if… - License: awesome-LLM-resources is Apache-2.0, tutor-gpt is GPL-3.0. - Tags unique to awesome-LLM-resources: awesome-list, book, course, large language models. - Also covers AI Agents, Developer Tools, Inference & Serving, Model Training. - - It's ideal when you seek an exhaustive and up-to-date compilation covering extensive knowledge points in LLM technologies. ## When NOT to use tutor-gpt - If looking for a tool focused solely on content delivery without personalized reasoning capabilities - Projects requiring closed-source or proprietary licensing, as tutor-gpt uses the GPL-3.0 open-source license ## When NOT to use awesome-LLM-resources - - Avoid using this resource if you specifically need detailed step-by-step guides or hands-on tutorials that focus deeply on a single technology rather than broad coverage. - - It might not be the best choice when you are looking for resources in languages other than English, especially given its extensive English content. ## Common questions ### What is the difference between tutor-gpt and awesome-LLM-resources? tutor-gpt: AI tutor powered by Theory-of-Mind reasoning. awesome-LLM-resources: Summary of the world's best LLM resources.. See the comparison table for live GitHub stats and shared categories. ### When should I choose tutor-gpt over awesome-LLM-resources? Choose tutor-gpt over awesome-LLM-resources when License: tutor-gpt is GPL-3.0, awesome-LLM-resources is Apache-2.0; Tags unique to tutor-gpt: ai, education, hacktoberfest, literacy; tutor-gpt ships Docker support for self-hosted deployment; For creating an educational experience that adapts to the cognitive and emotional state of students. ### When should I choose awesome-LLM-resources over tutor-gpt? Choose awesome-LLM-resources over tutor-gpt when License: awesome-LLM-resources is Apache-2.0, tutor-gpt is GPL-3.0; Tags unique to awesome-LLM-resources: awesome-list, book, course, large language models; Also covers AI Agents, Developer Tools, Inference & Serving, Model Training; - It's ideal when you seek an exhaustive and up-to-date compilation covering extensive knowledge points in LLM technologies. ### When should I avoid tutor-gpt? If looking for a tool focused solely on content delivery without personalized reasoning capabilities Projects requiring closed-source or proprietary licensing, as tutor-gpt uses the GPL-3.0 open-source license ### When should I avoid awesome-LLM-resources? - Avoid using this resource if you specifically need detailed step-by-step guides or hands-on tutorials that focus deeply on a single technology rather than broad coverage. - It might not be the best choice when you are looking for resources in languages other than English, especially given its extensive English content. ### Is tutor-gpt or awesome-LLM-resources more popular on GitHub? awesome-LLM-resources has more GitHub stars (8,845 vs 921). Stars measure visibility, not whether either tool fits your constraints. ### Are tutor-gpt and awesome-LLM-resources open source? Yes - both are open-source projects on GitHub (tutor-gpt: GPL-3.0, awesome-LLM-resources: Apache-2.0). ### Where can I find alternatives to tutor-gpt or awesome-LLM-resources? GraphCanon lists graph-backed alternatives at [tutor-gpt alternatives](/tools/plastic-labs-tutor-gpt/alternatives) and [awesome-LLM-resources alternatives](/tools/wangrongsheng-awesome-llm-resources/alternatives) ([tutor-gpt markdown twin](/tools/plastic-labs-tutor-gpt/alternatives.md), [awesome-LLM-resources markdown twin](/tools/wangrongsheng-awesome-llm-resources/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/plastic-labs-tutor-gpt-vs-wangrongsheng-awesome-llm-resources.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, tutor-gpt or awesome-LLM-resources? tutor-gpt: Slowing. awesome-LLM-resources: 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 tutor-gpt and awesome-LLM-resources? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [tutor-gpt trust report](/tools/plastic-labs-tutor-gpt/trust); [awesome-LLM-resources trust report](/tools/wangrongsheng-awesome-llm-resources/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=plastic-labs-tutor-gpt`](/api/graphcanon/graph?tool=plastic-labs-tutor-gpt) - 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/_