Amurex is an open-source AI that unifies your workflow, connecting and organizing knowledge across your existing tooling. Search, automate, and retrieve insights effortlessly without switching contexts. Fully self-hostable for complete data control.
This is the 2nd launch from Amurex. View more
AI Knowledge Search by Amurex
Our AI-powered search connects Gmail, Google Docs, Notion, Obsidian, and more - so you can find anything across all your knowledge sources instantly, from one simple search bar. No more silos, no more wasted time. Just instant answers.
Free
Launch Team / Built With
Finally - a unified search that actually works across all my knowledge silos! 🔍✨ No more frantic tab-hopping between Gmail, Docs, and Notion. That ‘instant answers’ promise is exactly what overworked brains need. If this delivers, it could replace 5+ tools in my workflow.
This software is useful and practical, I have benefited from using this product.
Thanks for this good information
Hey Arsen this looks fantastic! Love the direction you're heading!
JDoodle.ai
Could we review your project documentation and explore community discussions? Specifically, I want to check for any issues or pull requests related to security vulnerabilities or improvements.
Interesting tool, congrats on the launch team @Amurex , btw do you have any roadmap with others implementation ? Do you aim to integrate Slack in example ? :)
Big congrats on the launch, @arsenfounder, @sanskar_jethi1, and team! 🚀
The frustration of fragmented knowledge is real, and @Amurex Search looks like a thoughtfully built solution to unify that chaos. Cross-platform, context-aware, and open-source? That’s a compelling combo.
That said, I wanted to surface a few key areas I think are worth considering:
🔐 Data Security & Privacy – Since the product integrates LLMs like OpenAI and Mistral, it raises questions around how personal or sensitive data is handled. When users connect tools like Gmail or Drive, it’s important to know:
Where is the data stored?
Is it ever used to fine-tune models?
Is inference happening locally, or are queries passed through third-party APIs?
This level of transparency can make or break user trust, especially in professional contexts.
🔗 Data Integration Challenges – As you likely know, major platforms (like Google, Notion, or Apple’s ecosystem) aren’t always the most integration-friendly, especially for open-source tools. Without native support or reliable APIs, real-world implementation could face hurdles, and users might end up with partial visibility instead of true unification.
📚 Context Relevance & Accuracy – Context-aware results are a killer feature, but the accuracy of context interpretation is critical. False positives can be worse than no result at all. Would love to know how Amurex prioritizes or ranks results when context is ambiguous.
All in all, this is a much-needed space to innovate in — and I’m excited to see where you take it from here.
Congrats again on the launch! 👏