qRaptor has become our go-to platform for vibe-coding, building automation and AI agents across the cloud lifecycle. What started as a small experiment with a single agent evolved into true multi-agent workflows—agents that talk to each other, trigger executors, and complete tasks without manual intervention.
We now publish live agents in hours—RAG agents, autonomous troubleshooting agents, even resource execution agents. Use cases that once required days of designing workflows now take a fraction of the time. We work with multiple cloud-related tools, and qRaptor’s MCP integration makes connecting everything effortless.
Fast to build, easy to integrate, and flexible without complexity—qRaptor is now a core pillar of our CloudOps automation strategy.
Hey Everyone!
I’m Balavigneshwaran, founder of AugmentAppz.ai, and super excited to finally share qRaptor with you.
We’ve spent the last year obsessing over one question:
“What would a platform look like if it was built natively for agents — not adapted for them?”
That’s what qRaptor is.
What it is:
qRaptor is the full-stack platform to build, orchestrate, and launch Agent-Native AI apps — without glue code.
You get:
- Drag-and-drop agent orchestration + Super Agents
- Visual + VibeCode UI builder (built for live agent inputs)
- Integration pipelines to bring in external data, transform, and act
- Built-in data vault for documents + structured tables
- One-click deploy to hosted sites — with RBAC, audit, and observability
- Or export the entire app to use anywhere
Who it's for:
Solo founders launching smart agent apps
Product teams building internal automation
Enterprises modernising service flows with LLMs
Why we built it:
Because building agent apps shouldn't feel like duct-taping APIs, prompts, spreadsheets, and frontend hacks.
You should be able to build like a product, not prototype forever.
Would love your feedback:
What's your biggest blocker in shipping LLM-powered apps today?
Are you more drag‑n‑drop or code‑first?
Would you prefer hosted agents, or exporting full stack?
We’re around all day — AMA, test it, break it, ship it!
Thanks PH fam — let’s build real AI apps. Not just wrappers.
— Balavigneshwaran M