--- title: "note-gen vs awesome-notebookLM-prompts" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/codexu-note-gen-vs-serenakeyitan-awesome-notebooklm-prompts" tools: ["codexu-note-gen", "serenakeyitan-awesome-notebooklm-prompts"] --- # note-gen vs awesome-notebookLM-prompts *GraphCanon updated Aug 18, 2026* ## Verdict Pick note-gen if note-gen is a cross-platform Markdown AI note-taking software that allows users to capture information quickly without imposing immediate organization. It leverages agent and chatbot functionalities for advanced features; pick awesome-notebookLM-prompts if a curated collection of effective prompts for NotebookLM AI presentations, aimed at users focused on creative prompt engineering. [note-gen](https://notegen.top) reports 13k GitHub stars, 949 forks, and 121 open issues, last pushed Aug 17, 2026. [awesome-notebookLM-prompts](https://github.com/serenakeyitan/awesome-notebookLM-prompts) has 4.3k stars, 622 forks, and 1 open issues, last pushed Jun 19, 2026. Figures are from public GitHub metadata via [note-gen's repository](https://github.com/codexu/note-gen) and [awesome-notebookLM-prompts's repository](https://github.com/serenakeyitan/awesome-notebookLM-prompts). | | [note-gen](/tools/codexu-note-gen.md) | [awesome-notebookLM-prompts](/tools/serenakeyitan-awesome-notebooklm-prompts.md) | | --- | --- | --- | | Tagline | Capture first, organize later. | Curated collection of NotebookLM slide prompts for AI presentations | | Stars | 12,653 | 4,336 | | Forks | 949 | 622 | | Open issues | 121 | 1 | | Language | TypeScript | - | | Adopt for | note-gen is a cross-platform Markdown AI note-taking software that allows users to capture information quickly without imposing immediate organization. It leverages agent and chatbot functionalities for advanced features | A curated collection of effective prompts for NotebookLM AI presentations, aimed at users focused on creative prompt engineering. | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0 | Freely redistributable under the MIT License, allowing use in various projects as long as copyright and license notices are preserved. | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [note-gen](/tools/codexu-note-gen.md) | [awesome-notebookLM-prompts](/tools/serenakeyitan-awesome-notebooklm-prompts.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 1d | 38d | | Open issues (now) | 121 | 1 | | Stars delta | +350 (30d) | Unknown | | Open issues delta | -9 (30d) | Unknown | | Full report | [trust report](/tools/codexu-note-gen/trust.md) | [trust report](/tools/serenakeyitan-awesome-notebooklm-prompts/trust.md) | ## Decision facts: note-gen - **Adopt for:** note-gen is a cross-platform Markdown AI note-taking software that allows users to capture information quickly without imposing immediate organization. It leverages agent and chatbot functionalities for advanced features ## Decision facts: awesome-notebookLM-prompts - **Adopt for:** A curated collection of effective prompts for NotebookLM AI presentations, aimed at users focused on creative prompt engineering. - **License detail:** Freely redistributable under the MIT License, allowing use in various projects as long as copyright and license notices are preserved. ## Choose when ### Choose note-gen if… - License: note-gen is GPL-3.0, awesome-notebookLM-prompts is MIT. - Tags unique to note-gen: agent, chatbot, knowledge-base, llm. - When you prefer capturing notes rapidly without the need to immediately organize them, as note-gen emphasizes capturing first then organizing later with AI assistance ### Choose awesome-notebookLM-prompts if… - License: awesome-notebookLM-prompts is MIT, note-gen is GPL-3.0. - Tags unique to awesome-notebookLM-prompts: ai, ai-agents, notebooklm, prompt-engineering. - When you need a variety of pre-curated slide prompts to speed up the creation of innovative AI-driven PowerPoint presentations ## When NOT to use note-gen - When precise organization at the time of note-taking is of utmost importance because note-gen's strength lies more in post-capture structuring facilitated by AI - If your workflow doesn't align well with cross-platform software, or if you need a solution with a different ecosystem integration as note-gen operates based on TypeScript and Tauri, which might not ## When NOT to use awesome-notebookLM-prompts - For users looking for generalized prompt tools not specific to NotebookLM or its creative underground style - If you seek a solution that provides comprehensive support and documentation over curated prompt collections alone ## Common questions ### What is the difference between note-gen and awesome-notebookLM-prompts? note-gen: Capture first, organize later.. awesome-notebookLM-prompts: Curated collection of NotebookLM slide prompts for AI presentations. See the comparison table for live GitHub stats and shared categories. ### When should I choose note-gen over awesome-notebookLM-prompts? Choose note-gen over awesome-notebookLM-prompts when License: note-gen is GPL-3.0, awesome-notebookLM-prompts is MIT; Tags unique to note-gen: agent, chatbot, knowledge-base, llm; When you prefer capturing notes rapidly without the need to immediately organize them, as note-gen emphasizes capturing first then organizing later with AI assistance. ### When should I choose awesome-notebookLM-prompts over note-gen? Choose awesome-notebookLM-prompts over note-gen when License: awesome-notebookLM-prompts is MIT, note-gen is GPL-3.0; Tags unique to awesome-notebookLM-prompts: ai, ai-agents, notebooklm, prompt-engineering; When you need a variety of pre-curated slide prompts to speed up the creation of innovative AI-driven PowerPoint presentations. ### When should I avoid note-gen? When precise organization at the time of note-taking is of utmost importance because note-gen's strength lies more in post-capture structuring facilitated by AI If your workflow doesn't align well with cross-platform software, or if you need a solution with a different ecosystem integration as note-gen operates based on TypeScript and Tauri, which might not ### When should I avoid awesome-notebookLM-prompts? For users looking for generalized prompt tools not specific to NotebookLM or its creative underground style If you seek a solution that provides comprehensive support and documentation over curated prompt collections alone ### Is note-gen or awesome-notebookLM-prompts more popular on GitHub? note-gen has more GitHub stars (12,653 vs 4,336). Stars measure visibility, not whether either tool fits your constraints. ### Are note-gen and awesome-notebookLM-prompts open source? Yes - both are open-source projects on GitHub (note-gen: GPL-3.0, awesome-notebookLM-prompts: MIT). ### Where can I find alternatives to note-gen or awesome-notebookLM-prompts? GraphCanon lists graph-backed alternatives at [note-gen alternatives](/tools/codexu-note-gen/alternatives) and [awesome-notebookLM-prompts alternatives](/tools/serenakeyitan-awesome-notebooklm-prompts/alternatives) ([note-gen markdown twin](/tools/codexu-note-gen/alternatives.md), [awesome-notebookLM-prompts markdown twin](/tools/serenakeyitan-awesome-notebooklm-prompts/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/codexu-note-gen-vs-serenakeyitan-awesome-notebooklm-prompts.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, note-gen or awesome-notebookLM-prompts? note-gen: Very active. awesome-notebookLM-prompts: Steady. 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 note-gen and awesome-notebookLM-prompts? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [note-gen trust report](/tools/codexu-note-gen/trust); [awesome-notebookLM-prompts trust report](/tools/serenakeyitan-awesome-notebooklm-prompts/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=codexu-note-gen`](/api/graphcanon/graph?tool=codexu-note-gen) - 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/_