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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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. 🚀
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