Alternatives
Products that do what OMNI - The Semantic for the Agentic AI does
Eliminating 30–90% of token noise with Zero Semantic Loss.
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Hi, HN! I built a proactive open-source AI necklace that transforms your conversations into summaries, proactive feedback, and insights I built this because I want to use it myself: many companies are advertising such technology but no one is shipping The app can work with or without wearables so you can try the experience without buying anything --- Update: wasn't expecting this post to get attention, so please let me know if I need any special tags like Show HN
2024 · github.com
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Hi HN, we're Kiran and Vijay! Over the past two years, we have built a columnar storage engine for observability: logs, metrics, and traces. Today, it's exciting for us to show what we've built on top of that foundation: LLM Agent Observability. Given how non-deterministic agents are, storing all traces without sampling was critical for us. But these traces tend to be in the MBs, sometimes GBs - we needed to store them inexpensively. We also needed the queries and analyses to be fast. To meet both these goals, we store them in S3 in our own parquet-like file format, and query them using AWS…
Jul 2026 · oodle.ai
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Hi HN, we're Patrick and Florian, and we created Omnifact out of frustration with the underwhelming impact of AI on business productivity. After working with large companies struggling to adopt AI in a meaningful way due to data privacy concerns and vendor lock-in, we decided to build the platform we wished we had. Omnifact is designed for organizations that want to make use of generative AI and RAG without compromising data security or flexibility. Here's the tech breakdown: - Deployment Flexibility: Omnifact can be used as a SaaS in our Azure-based cloud, deployed within a company's…
2024
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Jul 2026 · omni-expert-ai--architjha05.replit.app
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