Comparison
khoj vs awesome-notebookLM-prompts
Verdict
Pick khoj if khoj is a self-hostable AI tool that functions as an assistant able to extract information from the web or user documents for deep research tasks. It supports various local and online language models (LLMs) like GPT, LLa; pick awesome-notebookLM-prompts if a curated collection of effective prompts for NotebookLM AI presentations, aimed at users focused on creative prompt.
Markdown twin · khoj alternatives · awesome-notebookLM-prompts alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | khoj | awesome-notebookLM-prompts |
|---|---|---|
| Maintenance | Active (14d since push) As of 1w · github_public_v1 | Steady (38d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Personal account As of 4w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- khoj
- Your AI second brain. Self-hostable.
- awesome-notebookLM-prompts
- Curated collection of NotebookLM slide prompts for AI presentations
Stars
- khoj
- 37k
- awesome-notebookLM-prompts
- 4.3k
Forks
- khoj
- 2.4k
- awesome-notebookLM-prompts
- 622
Open issues
- khoj
- 133
- awesome-notebookLM-prompts
- 1
Language
- khoj
- Python
- awesome-notebookLM-prompts
- -
Adopt for
- khoj
- khoj is a self-hostable AI tool that functions as an assistant able to extract information from the web or user documents for deep research tasks. It supports various local and online language models (LLMs) like GPT, LLa
- awesome-notebookLM-prompts
- A curated collection of effective prompts for NotebookLM AI presentations, aimed at users focused on creative prompt engineering.
Persona
- khoj
- -
- awesome-notebookLM-prompts
- -
Runtime
- khoj
- -
- awesome-notebookLM-prompts
- -
License
- khoj
- khoj is distributed under the GNU Affero General Public License v3.0 (AGPL-3.0), which entails users must make source code available if they run modified versions of khoj on a network and allow others
- awesome-notebookLM-prompts
- Freely redistributable under the MIT License, allowing use in various projects as long as copyright and license notices are preserved.
Last pushed
- khoj
- Aug 2, 2026
- awesome-notebookLM-prompts
- Jun 19, 2026
Categories
- khoj
- AI Agents, Developer Tools, Model Training
- awesome-notebookLM-prompts
- AI Agents, Developer Tools
Trust and health
Maintenance
- khoj
- Active (82%)
- awesome-notebookLM-prompts
- Steady (60%)
Days since push
- khoj
- 14d
- awesome-notebookLM-prompts
- 38d
Open issues (now)
- khoj
- 133
- awesome-notebookLM-prompts
- 1
Stars delta
- khoj
- +702 (30d)
- awesome-notebookLM-prompts
- Unknown
Open issues delta
- khoj
- +14 (30d)
- awesome-notebookLM-prompts
- Unknown
Owner type
- khoj
- Organization
- awesome-notebookLM-prompts
- User
Full report
- khoj
- Trust report
- awesome-notebookLM-prompts
- Trust report
Choose khoj if…
- License: khoj is AGPL-3.0, awesome-notebookLM-prompts is MIT.
- Pricing: khoj provides free access to its core functionalities, but certain high-tier features might be subject to premium licensing..
- Tags unique to khoj: agent, assistant, chat, llm.
- Also covers Model Training.
- khoj ships Docker support for self-hosted deployment.
- You're looking to build custom agents for specific tasks, making it ideal if you require a tool with high customization options.
When NOT to use khoj
- When you need real-time responses where latency needs to be minimized, since self-hosting might introduce delays.
- If you prefer cloud-based solutions for maintenance and scaling purposes without managing your own servers, khoj may not be the best option.
Choose awesome-notebookLM-prompts if…
- License: awesome-notebookLM-prompts is MIT, khoj is AGPL-3.0.
- Tags unique to awesome-notebookLM-prompts: 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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (khoj-ai/khoj) · observed Aug 16, 2026
- GitHub forks (khoj-ai/khoj) · observed Aug 16, 2026
- Last push (khoj-ai/khoj) · observed Aug 2, 2026
- License file (AGPL-3.0) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (serenakeyitan/awesome-notebookLM-prompts) · observed Jul 28, 2026
- GitHub forks (serenakeyitan/awesome-notebookLM-prompts) · observed Jul 28, 2026
- Last push (serenakeyitan/awesome-notebookLM-prompts) · observed Jun 19, 2026
- License file (MIT) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: khoj 37k · awesome-notebookLM-prompts 4.3k (synced Aug 16, 2026).
Common questions
- What is the difference between khoj and awesome-notebookLM-prompts?
- khoj: Your AI second brain. Self-hostable.. 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 khoj over awesome-notebookLM-prompts?
- Choose khoj over awesome-notebookLM-prompts when License: khoj is AGPL-3.0, awesome-notebookLM-prompts is MIT; Pricing: khoj provides free access to its core functionalities, but certain high-tier features might be subject to premium licensing.; Tags unique to khoj: agent, assistant, chat, llm; Also covers Model Training; khoj ships Docker support for self-hosted deployment; You're looking to build custom agents for specific tasks, making it ideal if you require a tool with high customization options.
- When should I choose awesome-notebookLM-prompts over khoj?
- Choose awesome-notebookLM-prompts over khoj when License: awesome-notebookLM-prompts is MIT, khoj is AGPL-3.0; Tags unique to awesome-notebookLM-prompts: 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 khoj?
- When you need real-time responses where latency needs to be minimized, since self-hosting might introduce delays. If you prefer cloud-based solutions for maintenance and scaling purposes without managing your own servers, khoj may not be the best option.
- 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 khoj or awesome-notebookLM-prompts more popular on GitHub?
- khoj has more GitHub stars (36,512 vs 4,336). Stars measure visibility, not whether either tool fits your constraints.
- Are khoj and awesome-notebookLM-prompts open source?
- Yes - both are open-source projects on GitHub (khoj: AGPL-3.0, awesome-notebookLM-prompts: MIT).
- Where can I find alternatives to khoj or awesome-notebookLM-prompts?
- GraphCanon lists graph-backed alternatives at khoj alternatives and awesome-notebookLM-prompts alternatives (khoj markdown twin, awesome-notebookLM-prompts markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, khoj or awesome-notebookLM-prompts?
- khoj: 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 khoj and awesome-notebookLM-prompts?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: khoj trust report; awesome-notebookLM-prompts trust report.