Aditya Dewaskar

Knowdeep.ai - The Agentic OS for Research

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Knowdeep.ai is a research agentic OS. You design the agent network in Agent Studio—instructions once, agents + subagents mapped end-to-end—then hit run. It ingests PDFs + web sources, verifies facts across references, and outputs comprehensive, citation-backed reports with visual insights.

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Aditya Dewaskar
Hey Product Hunt 👋 I built Knowdeep.ai because research is still mostly manual: PDFs, web links, spreadsheets, and endless copy-paste. Knowdeep is a Research Agentic OS. In Agent Studio, you can create your own agents + subagents, define instructions once, and run a reusable workflow. Then you hit run and watch the agent network execute on autopilot: ingest PDFs → search/crawl the web → extract → cross-verify → generate a structured, client-ready report with visuals and traceable citations. New part: Knowdeep also includes an AI Agent Builder — just tell it what you want (“build a competitor pricing tracker” / “create a market sizing workflow”) and it auto-builds a custom solution agent + subagents, with the right steps, tools, and checkpoints. You can edit everything in Agent Studio. And it’s not blind automation — it supports Human-in-the-Loop: pause at key checkpoints approve/reject sources or outlines tweak instructions mid-run rerun only specific sections Would love your feedback: What research workflow should we autopilot next? Where do you want HITL checkpoints (sources / outline / final)? What output matters most: PDF / Docs / Sheets? Drop your use-case — I’ll help you generate your first custom agent network. 🚀