qRaptor Documentation
qRaptor is an AI-Native Application Engineering & Execution Platform — one place to design, build, deploy, and govern full-stack applications and AI agents, so humans and AI work together under one governance layer.
Start here
The platform in one page — what you can build and why it’s different.
Workspaces, projects, agents, tools, and deployments — the vocabulary.
Create your account, workspace, and first project.
Build
Build Task Agents, AI Agents, and Multi-Agent Systems on a visual canvas.
Tables, documents, content stores, and assets — your project’s data tier.
Generate web, mobile, and copilot apps from a natural-language prompt.
Ship & govern
Preview and production deployments, scheduled runs, API access, monitoring.
Give a voice agent a real phone number so customers can call it.
Run agent code and tools on your own infrastructure — in your VPC, on-prem, or on GPUs.
Connections and credentials, LLM guardrails, and which model runs each feature.
End-user auth, roles, permissions, and data governance for what you ship.
Platform roles, permissions, and settings reference.
Jump straight in
- Build a Task Agent — a visual workflow of steps, triggers, and branches.
- Build an AI Agent — a conversational agent with memory, personas, and tools.
- Build a Multi-Agent System — route each request to the right specialist agent.
- Create a tool — give agents HTTP, Python, and MCP capabilities.
- Generate an app with Vibe Coding — prompt to production-ready code.
- Add a Copilot to your app — an embeddable AI chat assistant.