--- title: "gerev vs awesome-LLM-resources" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/gerevai-gerev-vs-wangrongsheng-awesome-llm-resources" tools: ["gerevai-gerev", "wangrongsheng-awesome-llm-resources"] --- # gerev vs awesome-LLM-resources *GraphCanon updated Jul 11, 2026* ## Verdict Pick gerev when license: gerev is MIT, awesome-LLM-resources is Apache-2.0; pick awesome-LLM-resources when license: awesome-LLM-resources is Apache-2.0, gerev is MIT. [gerev](https://github.com/GerevAI/gerev) reports 2.8k GitHub stars, 176 forks, and 26 open issues, last pushed Dec 29, 2023. [awesome-LLM-resources](https://github.com/WangRongsheng/awesome-LLM-resources) has 8.7k stars, 924 forks, and 39 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [gerev's repository](https://github.com/GerevAI/gerev) and [awesome-LLM-resources's repository](https://github.com/WangRongsheng/awesome-LLM-resources). | | [gerev](/tools/gerevai-gerev.md) | [awesome-LLM-resources](/tools/wangrongsheng-awesome-llm-resources.md) | | --- | --- | --- | | Tagline | 🧠 AI-powered enterprise search engine 🔎 | 🧑🚀 全世界最好的LLM资料总结（多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources. | | Stars | 2,807 | 8,668 | | Forks | 176 | 924 | | Open issues | 26 | 39 | | Language | Python | - | | 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 | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Vector Databases | Vector Databases, AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [gerev](/tools/gerevai-gerev.md) | [awesome-LLM-resources](/tools/wangrongsheng-awesome-llm-resources.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 925d | 1d | | Open issues (now) | 26 | 39 | | Owner type | Organization | User | | Full report | [trust report](/tools/gerevai-gerev/trust.md) | [trust report](/tools/wangrongsheng-awesome-llm-resources/trust.md) | ## 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 gerev if… - License: gerev is MIT, awesome-LLM-resources is Apache-2.0. - Tags unique to gerev: helpdesk, helpdesk-tools, ai, machine-learning. - Leaner open-issue backlog (26). ### Choose awesome-LLM-resources if… - License: awesome-LLM-resources is Apache-2.0, gerev is MIT. - Tags unique to awesome-LLM-resources: llama, mistral, llm, course. - Also covers AI Agents, LLM Frameworks. - - It's ideal when you seek an exhaustive and up-to-date compilation covering extensive knowledge points in LLM technologies. ## When NOT to use gerev - Last GitHub push was 925 days ago (dormant maintenance, Dec 29, 2023). Validate activity before betting a new project on gerev. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## 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 gerev and awesome-LLM-resources? gerev: 🧠 AI-powered enterprise search engine 🔎. awesome-LLM-resources: 🧑🚀 全世界最好的LLM资料总结（多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.. See the comparison table for live GitHub stats and shared categories. ### When should I choose gerev over awesome-LLM-resources? Choose gerev over awesome-LLM-resources when License: gerev is MIT, awesome-LLM-resources is Apache-2.0; Tags unique to gerev: helpdesk, helpdesk-tools, ai, machine-learning; Leaner open-issue backlog (26). ### When should I choose awesome-LLM-resources over gerev? Choose awesome-LLM-resources over gerev when License: awesome-LLM-resources is Apache-2.0, gerev is MIT; Tags unique to awesome-LLM-resources: llama, mistral, llm, course; Also covers AI Agents, LLM Frameworks; - It's ideal when you seek an exhaustive and up-to-date compilation covering extensive knowledge points in LLM technologies. ### When should I avoid gerev? Last GitHub push was 925 days ago (dormant maintenance, Dec 29, 2023). Validate activity before betting a new project on gerev. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### 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 gerev or awesome-LLM-resources more popular on GitHub? awesome-LLM-resources has more GitHub stars (8,668 vs 2,807). Stars measure visibility, not whether either tool fits your constraints. ### Are gerev and awesome-LLM-resources open source? Yes - both are open-source projects on GitHub (gerev: MIT, awesome-LLM-resources: Apache-2.0). ### Where can I find alternatives to gerev or awesome-LLM-resources? GraphCanon lists graph-backed alternatives at [gerev alternatives](/tools/gerevai-gerev/alternatives) and [awesome-LLM-resources alternatives](/tools/wangrongsheng-awesome-llm-resources/alternatives) ([gerev markdown twin](/tools/gerevai-gerev/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/gerevai-gerev-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, gerev or awesome-LLM-resources? gerev: Dormant. 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 gerev and awesome-LLM-resources? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [gerev trust report](/tools/gerevai-gerev/trust); [awesome-LLM-resources trust report](/tools/wangrongsheng-awesome-llm-resources/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=gerevai-gerev`](/api/graphcanon/graph?tool=gerevai-gerev) - 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/_