qRaptor
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qRaptor - Turn business intent into production AI apps

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qRaptor is the AI-Native Application Engineering & Execution Platform. Build production-ready apps and AI agents on one platform — humans and AI agents working as one, governed by design. Deploy anywhere, own your code.

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Maker
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Hey Product Hunt 👋 We built qRaptor because we kept seeing the same gap: AI demos are everywhere, but almost none of them survive contact with a real business. Production means accountability, access control, and humans in the loop — not just a clever model. qRaptor is an AI-native application engineering & execution platform. You describe what you need, and it turns that intent into a real, deployable system: 🧱 Build full-stack apps — from a prompt to a complete app (built on an app context graph), deployable in one click 🤖 Appoint AI agents — give them skills & tools, deploy as a copilot or API, run autonomously on any event or schedule ⚙️ Automate task agents — design with drag & drop, validate against real scenarios, deploy as scheduled or event-driven APIs 🛡️ Governance built in — RBAC, human-in-the-loop, and full audit & observability, so nothing runs in the dark Apps, data, agents, and automation — one unified system. We'd love your honest feedback, and we're around all day to answer anything. 👉 Try it: 🔎 Learn more:

Honestly the agent handoff feels smoother than I expected, like it actually knows when to step back instead of just yapping through everything. Curious how it holds up on messier internal workflows.

Maker

 the agent handoff is complete depending on the usecase, Example : For the app generation we have multi agent system, wherein there is a combination of ReAct + Deterministic algorithmic methods are used to decided if the loop continues without stopping.. For internal workflows we have two things, ReAct agent ( AI Agent in qRaptor ) + Deterministic Flows ( Task Agent ) wherein we dont need reasoning loops..