--- title: "awesome-llm-webapps vs awesome-ai-apps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/icefort-ai-awesome-llm-webapps-vs-rohitg00-awesome-ai-apps" tools: ["icefort-ai-awesome-llm-webapps", "rohitg00-awesome-ai-apps"] --- # awesome-llm-webapps vs awesome-ai-apps *GraphCanon updated Aug 12, 2026* ## Verdict Pick awesome-llm-webapps if awesome-llm-webapps offers a curated collection of actively maintained web applications for LLM use cases such as chatbots, question answering systems, and natural language interfaces. This repository highlights critical; pick awesome-ai-apps if awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models. [awesome-llm-webapps](https://github.com/icefort-ai/awesome-llm-webapps) reports 720 GitHub stars, 37 forks, and 13 open issues, last pushed Jun 29, 2025. [awesome-ai-apps](https://agenstskills.com) has 817 stars, 174 forks, and 27 open issues, last pushed Feb 10, 2026. Figures are from public GitHub metadata via [awesome-llm-webapps's repository](https://github.com/icefort-ai/awesome-llm-webapps) and [awesome-ai-apps's repository](https://github.com/rohitg00/awesome-ai-apps). | | [awesome-llm-webapps](/tools/icefort-ai-awesome-llm-webapps.md) | [awesome-ai-apps](/tools/rohitg00-awesome-ai-apps.md) | | --- | --- | --- | | Tagline | A collection of open source, actively maintained web apps for LLM applications | A curated collection of AI Agents and LLM Apps with various tech stacks | | Stars | 720 | 817 | | Forks | 37 | 174 | | Open issues | 13 | 27 | | Language | - | HTML | | Adopt for | awesome-llm-webapps offers a curated collection of actively maintained web applications for LLM use cases such as chatbots, question answering systems, and natural language interfaces. This repository highlights critical | awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Inference & Serving, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-llm-webapps](/tools/icefort-ai-awesome-llm-webapps.md) | [awesome-ai-apps](/tools/rohitg00-awesome-ai-apps.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 403d | 182d | | Open issues (now) | 13 | 27 | | Owner type | Organization | User | | Full report | [trust report](/tools/icefort-ai-awesome-llm-webapps/trust.md) | [trust report](/tools/rohitg00-awesome-ai-apps/trust.md) | ## Decision facts: awesome-llm-webapps - **Pricing:** freemium - The projects listed are open-source under MIT license and free to use; however, specific models or services integrated within the projects may have their own licensing terms. - **Adopt for:** awesome-llm-webapps offers a curated collection of actively maintained web applications for LLM use cases such as chatbots, question answering systems, and natural language interfaces. This repository highlights critical ## Decision facts: awesome-ai-apps - **Adopt for:** awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models. ## Choose when ### Choose awesome-llm-webapps if… - License: awesome-llm-webapps is MIT, awesome-ai-apps is Apache-2.0. - Pricing: The projects listed are open-source under MIT license and free to use; however, specific models or services integrated within the projects may have their own licensing terms.. - Tags unique to awesome-llm-webapps: assistants, chatbots, natural language interfaces, question answering systems. - Also covers Inference & Serving. - - When you need to start an LLM project quickly with a high-quality base application. ### Choose awesome-ai-apps if… - License: awesome-ai-apps is Apache-2.0, awesome-llm-webapps is MIT. - Tags unique to awesome-ai-apps: agents, ai, apps, automation. - Also covers AI Agents. - For exploring real-world implementations of AI agents across different technologies ## When NOT to use awesome-llm-webapps - - Avoid if you require an LLM solution with immediate support for multiple unique languages that are not already covered in the repository. - - Not suitable when you need a project with very niche features that fall outside of common criteria defined in this list (e.g., deep integration with obscure data ingestion methods). ## When NOT to use awesome-ai-apps - When seeking detailed implementation steps specific to one technology stack - In scenarios demanding a deep dive into proprietary or less publicly-known application codes ## Common questions ### What is the difference between awesome-llm-webapps and awesome-ai-apps? awesome-llm-webapps: A collection of open source, actively maintained web apps for LLM applications. awesome-ai-apps: A curated collection of AI Agents and LLM Apps with various tech stacks. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-llm-webapps over awesome-ai-apps? Choose awesome-llm-webapps over awesome-ai-apps when License: awesome-llm-webapps is MIT, awesome-ai-apps is Apache-2.0; Pricing: The projects listed are open-source under MIT license and free to use; however, specific models or services integrated within the projects may have their own licensing terms.; Tags unique to awesome-llm-webapps: assistants, chatbots, natural language interfaces, question answering systems; Also covers Inference & Serving; - When you need to start an LLM project quickly with a high-quality base application. ### When should I choose awesome-ai-apps over awesome-llm-webapps? Choose awesome-ai-apps over awesome-llm-webapps when License: awesome-ai-apps is Apache-2.0, awesome-llm-webapps is MIT; Tags unique to awesome-ai-apps: agents, ai, apps, automation; Also covers AI Agents; For exploring real-world implementations of AI agents across different technologies. ### When should I avoid awesome-llm-webapps? - Avoid if you require an LLM solution with immediate support for multiple unique languages that are not already covered in the repository. - Not suitable when you need a project with very niche features that fall outside of common criteria defined in this list (e.g., deep integration with obscure data ingestion methods). ### When should I avoid awesome-ai-apps? When seeking detailed implementation steps specific to one technology stack In scenarios demanding a deep dive into proprietary or less publicly-known application codes ### Is awesome-llm-webapps or awesome-ai-apps more popular on GitHub? awesome-ai-apps has more GitHub stars (817 vs 720). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-llm-webapps and awesome-ai-apps open source? Yes - both are open-source projects on GitHub (awesome-llm-webapps: MIT, awesome-ai-apps: Apache-2.0). ### Where can I find alternatives to awesome-llm-webapps or awesome-ai-apps? GraphCanon lists graph-backed alternatives at [awesome-llm-webapps alternatives](/tools/icefort-ai-awesome-llm-webapps/alternatives) and [awesome-ai-apps alternatives](/tools/rohitg00-awesome-ai-apps/alternatives) ([awesome-llm-webapps markdown twin](/tools/icefort-ai-awesome-llm-webapps/alternatives.md), [awesome-ai-apps markdown twin](/tools/rohitg00-awesome-ai-apps/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/icefort-ai-awesome-llm-webapps-vs-rohitg00-awesome-ai-apps.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-llm-webapps or awesome-ai-apps? awesome-llm-webapps: Dormant. awesome-ai-apps: Slowing. 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 awesome-llm-webapps and awesome-ai-apps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-llm-webapps trust report](/tools/icefort-ai-awesome-llm-webapps/trust); [awesome-ai-apps trust report](/tools/rohitg00-awesome-ai-apps/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=icefort-ai-awesome-llm-webapps`](/api/graphcanon/graph?tool=icefort-ai-awesome-llm-webapps) - 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/_