--- title: "awesome-ai-apps vs system_prompts_leaks" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/arindam200-awesome-ai-apps-vs-asgeirtj-system-prompts-leaks" tools: ["arindam200-awesome-ai-apps", "asgeirtj-system-prompts-leaks"] --- # awesome-ai-apps vs system_prompts_leaks *GraphCanon updated Aug 16, 2026* ## Verdict Pick awesome-ai-apps if awesome-ai-apps is a curated list of projects focusing on AI applications and innovations such as RAG technologies, AI agents, and workflows, emphasizing large language models using Python; pick system_prompts_leaks if system_prompts_leaks is a repository of extracted system prompts from various AI agents and large language models (LLMs), including Claude, ChatGPT, Gemini, Grok, among others. The repository is. [awesome-ai-apps](https://raah.dev) reports 13k GitHub stars, 1.7k forks, and 89 open issues, last pushed Jul 23, 2026. [system_prompts_leaks](https://github.com/asgeirtj/system_prompts_leaks) has 63k stars, 10k forks, and 55 open issues, last pushed Aug 15, 2026. Figures are from public GitHub metadata via [awesome-ai-apps's repository](https://github.com/Arindam200/awesome-ai-apps) and [system_prompts_leaks's repository](https://github.com/asgeirtj/system_prompts_leaks). | | [awesome-ai-apps](/tools/arindam200-awesome-ai-apps.md) | [system_prompts_leaks](/tools/asgeirtj-system-prompts-leaks.md) | | --- | --- | --- | | Tagline | A curated list of AI applications showcasing RAG, agents, and workflows. | Extracted system prompts from various AI agents and LLMs | | Stars | 13,268 | 62,977 | | Forks | 1,721 | 10,337 | | Open issues | 89 | 55 | | Language | Python | JavaScript | | Adopt for | awesome-ai-apps is a curated list of projects focusing on AI applications and innovations such as RAG technologies, AI agents, and workflows, emphasizing large language models using Python. | system_prompts_leaks is a repository of extracted system prompts from various AI agents and large language models (LLMs), including Claude, ChatGPT, Gemini, Grok, among others. The repository is maintained in JavaScript, | | Persona | - | - | | Runtime | - | - | | License | MIT License ensures easy integration into both open source and proprietary projects without restrictions. | The license under which this repository operates (CC0-1.0) allows use, reproduction, and distribution with no attribution required. This means you can integrate the extracted system prompts for any of | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-ai-apps](/tools/arindam200-awesome-ai-apps.md) | [system_prompts_leaks](/tools/asgeirtj-system-prompts-leaks.md) | | --- | --- | --- | | Days since push | 2d | 1d | | Open issues (now) | 89 | 55 | | Stars delta | Unknown | +4.6k (30d) | | Open issues delta | Unknown | +20 (30d) | | Full report | [trust report](/tools/arindam200-awesome-ai-apps/trust.md) | [trust report](/tools/asgeirtj-system-prompts-leaks/trust.md) | ## Decision facts: awesome-ai-apps - **Pricing:** freemium - As an open-source project under the MIT License, awesome-ai-apps is free to use. There are no paid plans beyond potential third-party service integrations or support contracts. - **Requirements:** Requires understanding of Python and familiarity with large language models and RAG technologies to benefit fully from the projects listed. - **Adopt for:** awesome-ai-apps is a curated list of projects focusing on AI applications and innovations such as RAG technologies, AI agents, and workflows, emphasizing large language models using Python. - **License detail:** MIT License ensures easy integration into both open source and proprietary projects without restrictions. ## Decision facts: system_prompts_leaks - **Adopt for:** system_prompts_leaks is a repository of extracted system prompts from various AI agents and large language models (LLMs), including Claude, ChatGPT, Gemini, Grok, among others. The repository is maintained in JavaScript, - **License detail:** The license under which this repository operates (CC0-1.0) allows use, reproduction, and distribution with no attribution required. This means you can integrate the extracted system prompts for any of ## Choose when ### Choose awesome-ai-apps if… - awesome-ai-apps is primarily Python; system_prompts_leaks is JavaScript. - License: awesome-ai-apps is MIT, system_prompts_leaks is CC0-1.0. - Pricing: As an open-source project under the MIT License, awesome-ai-apps is free to use. There are no paid plans beyond potential third-party service integrations or support contracts.. - Requirements: Requires understanding of Python and familiarity with large language models and RAG technologies to benefit fully from the projects listed.. - Tags unique to awesome-ai-apps: agents, ai, hacktoberfest, mcp. - Use awesome-ai-apps when looking to explore or implement Retrieval-Augmented Generation (RAG) in Python projects focused on enhancing search-based question answering. ### Choose system_prompts_leaks if… - system_prompts_leaks is primarily JavaScript; awesome-ai-apps is Python. - License: system_prompts_leaks is CC0-1.0, awesome-ai-apps is MIT. - Tags unique to system_prompts_leaks: ai-agents, anthropic, google, openai. - When you need to understand or reverse-engineer the guidelines that certain AI agents or LLMs are operating under for educational purposes. ## When NOT to use awesome-ai-apps - Avoid awesome-ai-apps if your project requires non-Python support, as all the included applications are built using Python. - Do not use this repository if your focus is on backend-only AI services that do not involve RAG technologies or AI agents. ## When NOT to use system_prompts_leaks - If you are looking for a repository focused on model training data rather than just system prompts, as this tool only contains extracted prompts and not the datasets used for training. - In scenarios where strict confidentiality is required, as using or modifying leaked prompts without authorization might compromise ethical standards or violate usage policies. ## Common questions ### What is the difference between awesome-ai-apps and system_prompts_leaks? awesome-ai-apps: A curated list of AI applications showcasing RAG, agents, and workflows.. system_prompts_leaks: Extracted system prompts from various AI agents and LLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-ai-apps over system_prompts_leaks? Choose awesome-ai-apps over system_prompts_leaks when awesome-ai-apps is primarily Python; system_prompts_leaks is JavaScript; License: awesome-ai-apps is MIT, system_prompts_leaks is CC0-1.0; Pricing: As an open-source project under the MIT License, awesome-ai-apps is free to use. There are no paid plans beyond potential third-party service integrations or support contracts.; Requirements: Requires understanding of Python and familiarity with large language models and RAG technologies to benefit fully from the projects listed.; Tags unique to awesome-ai-apps: agents, ai, hacktoberfest, mcp; Use awesome-ai-apps when looking to explore or implement Retrieval-Augmented Generation (RAG) in Python projects focused on enhancing search-based question answering. ### When should I choose system_prompts_leaks over awesome-ai-apps? Choose system_prompts_leaks over awesome-ai-apps when system_prompts_leaks is primarily JavaScript; awesome-ai-apps is Python; License: system_prompts_leaks is CC0-1.0, awesome-ai-apps is MIT; Tags unique to system_prompts_leaks: ai-agents, anthropic, google, openai; When you need to understand or reverse-engineer the guidelines that certain AI agents or LLMs are operating under for educational purposes. ### When should I avoid awesome-ai-apps? Avoid awesome-ai-apps if your project requires non-Python support, as all the included applications are built using Python. Do not use this repository if your focus is on backend-only AI services that do not involve RAG technologies or AI agents. ### When should I avoid system_prompts_leaks? If you are looking for a repository focused on model training data rather than just system prompts, as this tool only contains extracted prompts and not the datasets used for training. In scenarios where strict confidentiality is required, as using or modifying leaked prompts without authorization might compromise ethical standards or violate usage policies. ### Is awesome-ai-apps or system_prompts_leaks more popular on GitHub? system_prompts_leaks has more GitHub stars (62,977 vs 13,268). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-ai-apps and system_prompts_leaks open source? Yes - both are open-source projects on GitHub (awesome-ai-apps: MIT, system_prompts_leaks: CC0-1.0). ### Where can I find alternatives to awesome-ai-apps or system_prompts_leaks? GraphCanon lists graph-backed alternatives at [awesome-ai-apps alternatives](/tools/arindam200-awesome-ai-apps/alternatives) and [system_prompts_leaks alternatives](/tools/asgeirtj-system-prompts-leaks/alternatives) ([awesome-ai-apps markdown twin](/tools/arindam200-awesome-ai-apps/alternatives.md), [system_prompts_leaks markdown twin](/tools/asgeirtj-system-prompts-leaks/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/arindam200-awesome-ai-apps-vs-asgeirtj-system-prompts-leaks.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-ai-apps or system_prompts_leaks? awesome-ai-apps: Very active. system_prompts_leaks: 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 awesome-ai-apps and system_prompts_leaks? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-ai-apps trust report](/tools/arindam200-awesome-ai-apps/trust); [system_prompts_leaks trust report](/tools/asgeirtj-system-prompts-leaks/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=arindam200-awesome-ai-apps`](/api/graphcanon/graph?tool=arindam200-awesome-ai-apps) - 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/_