--- title: "askimo vs awesome-notebookLM-prompts" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/askimo-ai-askimo-vs-serenakeyitan-awesome-notebooklm-prompts" tools: ["askimo-ai-askimo", "serenakeyitan-awesome-notebooklm-prompts"] --- # askimo vs awesome-notebookLM-prompts *GraphCanon updated Sep 20, 2026* ## Verdict Pick askimo when license: askimo is AGPL-3.0, awesome-notebookLM-prompts is MIT; pick awesome-notebookLM-prompts when license: awesome-notebookLM-prompts is MIT, askimo is AGPL-3.0. [askimo](https://askimo.chat) reports 485 GitHub stars, 100 forks, and 15 open issues, last pushed Sep 20, 2026. [awesome-notebookLM-prompts](https://github.com/serenakeyitan/awesome-notebookLM-prompts) has 4.6k stars, 677 forks, and 1 open issues, last pushed Jun 19, 2026. Figures are from public GitHub metadata via [askimo's repository](https://github.com/askimo-ai/askimo) and [awesome-notebookLM-prompts's repository](https://github.com/serenakeyitan/awesome-notebookLM-prompts). | | [askimo](/tools/askimo-ai-askimo.md) | [awesome-notebookLM-prompts](/tools/serenakeyitan-awesome-notebooklm-prompts.md) | | --- | --- | --- | | Tagline | AI Client for chat, RAG, and agents with multi-provider model support. | Curated collection of NotebookLM slide prompts for AI presentations | | Stars | 485 | 4,617 | | Forks | 100 | 677 | | Open issues | 15 | 1 | | Language | Kotlin | - | | Adopt for | - | A curated collection of effective prompts for NotebookLM AI presentations, aimed at users focused on creative prompt engineering. | | Persona | - | - | | Runtime | - | - | | License | AGPL-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, Data & Retrieval | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [askimo](/tools/askimo-ai-askimo.md) | [awesome-notebookLM-prompts](/tools/serenakeyitan-awesome-notebooklm-prompts.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 92d | | Open issues (now) | 15 | 1 | | Stars delta | +167 (30d) | +281 (30d) | | Open issues delta | -4 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/askimo-ai-askimo/trust.md) | [trust report](/tools/serenakeyitan-awesome-notebooklm-prompts/trust.md) | ## Decision facts: askimo - **Pricing:** unknown - The pricing information on the Askimo repository is not specified. ## 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 askimo if… - License: askimo is AGPL-3.0, awesome-notebookLM-prompts is MIT. - Pricing: The pricing information on the Askimo repository is not specified.. - Tags unique to askimo: agentic-workflow, ai-assistant, artificial-intelligence, chat-client. - Also covers Data & Retrieval. - Use for Kotlin developers who need to integrate chat and AI agents with multi-provider support including Claude, Codex, Gemini, and OpenAI. ### Choose awesome-notebookLM-prompts if… - License: awesome-notebookLM-prompts is MIT, askimo is AGPL-3.0. - Tags unique to awesome-notebookLM-prompts: ai, ai-agents, notebooklm, prompt-engineering. - Also covers Developer Tools. - 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 askimo - Avoid if you require a solution that supports languages other than Kotlin, as Askimo is exclusively built for Kotlin environments. - Not suitable if your project has strict licensing requirements and requires proprietary code, due to its AGPL-3.0 license which might impose restrictions. ## 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 askimo and awesome-notebookLM-prompts? askimo: AI Client for chat, RAG, and agents with multi-provider model support.. 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 askimo over awesome-notebookLM-prompts? Choose askimo over awesome-notebookLM-prompts when License: askimo is AGPL-3.0, awesome-notebookLM-prompts is MIT; Pricing: The pricing information on the Askimo repository is not specified.; Tags unique to askimo: agentic-workflow, ai-assistant, artificial-intelligence, chat-client; Also covers Data & Retrieval; Use for Kotlin developers who need to integrate chat and AI agents with multi-provider support including Claude, Codex, Gemini, and OpenAI. ### When should I choose awesome-notebookLM-prompts over askimo? Choose awesome-notebookLM-prompts over askimo when License: awesome-notebookLM-prompts is MIT, askimo is AGPL-3.0; Tags unique to awesome-notebookLM-prompts: ai, ai-agents, notebooklm, prompt-engineering; Also covers Developer Tools; 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 askimo? Avoid if you require a solution that supports languages other than Kotlin, as Askimo is exclusively built for Kotlin environments. Not suitable if your project has strict licensing requirements and requires proprietary code, due to its AGPL-3.0 license which might impose restrictions. ### 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 askimo or awesome-notebookLM-prompts more popular on GitHub? awesome-notebookLM-prompts has more GitHub stars (4,617 vs 485). Stars measure visibility, not whether either tool fits your constraints. ### Are askimo and awesome-notebookLM-prompts open source? Yes - both are open-source projects on GitHub (askimo: AGPL-3.0, awesome-notebookLM-prompts: MIT). ### Where can I find alternatives to askimo or awesome-notebookLM-prompts? GraphCanon lists graph-backed alternatives at [askimo alternatives](/tools/askimo-ai-askimo/alternatives) and [awesome-notebookLM-prompts alternatives](/tools/serenakeyitan-awesome-notebooklm-prompts/alternatives) ([askimo markdown twin](/tools/askimo-ai-askimo/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/askimo-ai-askimo-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, askimo or awesome-notebookLM-prompts? askimo: Very active. awesome-notebookLM-prompts: 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 askimo and awesome-notebookLM-prompts? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [askimo trust report](/tools/askimo-ai-askimo/trust); [awesome-notebookLM-prompts trust report](/tools/serenakeyitan-awesome-notebooklm-prompts/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=askimo-ai-askimo`](/api/graphcanon/graph?tool=askimo-ai-askimo) - 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/_