Glossary
Quick reference for terms used throughout qRaptor documentation.
A
A2A Protocol
Agent-to-Agent communication protocol. Lets you expose an agent as a service that other agents or external systems can call programmatically.
AG-UI Protocol
The streaming protocol that powers qRaptor’s conversational interface. Delivers real-time thinking, planning, and response updates as they happen.
Agent
An AI-powered execution unit built on qRaptor. See AI Agent and Task Agent.
Agent Persona
A configuration that defines an agent’s voice, personality, communication style, and behavioral guidelines.
Agentic Workspace
The section of a project where you build, test, and manage agents, MAS systems, personas, and agent tools.
AI Agent
A conversational agent that reasons autonomously, uses tools, accesses memory, and responds in natural language. Built for interactive conversations and complex decision-making.
App Context Graph
A structured representation of a generated application’s entities, files, and relationships. Powers the Application Dev Engine.
Application Dev Engine
The AI-powered code generation system that turns natural language prompts into full-stack applications through the pipeline: Prompt → Requirements → App Graph → Code → Auto-Fix → Iterate.
C
Canvas
The visual drag-and-drop graph editor where you design agent execution flows by connecting nodes.
Channel
A communication endpoint where end-users interact with your deployed agents. Supported: Web, WhatsApp, Voice, Teams, Slack, SMS, API.
Content Store
A vector store for RAG (Retrieval-Augmented Generation). Upload documents, and your agents can semantically search them for relevant knowledge.
Copilot
An embeddable AI chat widget that connects to your agents. Deploy as a web component on any site.
Credit
The unit of consumption for LLM calls and agent executions. Your plan determines your monthly credit allowance.
D
Data Vault
The secure data layer within a project: Tables, Documents, Content Stores, and Memory.
Deployment
A published instance of your agents or apps serving traffic. See Preview and Production.
Document
A file stored in the Data Vault. Supports uploads, exports, and attachments.
E
Episodic Memory
One of three memory tiers. Records what happened in past sessions — session summaries that the agent can recall in future conversations.
Executor
See Remote Executor.
G
Graph
The directed flow of nodes that defines an agent’s execution logic. Built visually on the canvas.
H
Human Gate
A node type that pauses agent execution for human approval. Supports synchronous (wait for immediate response) and asynchronous (queue for later review) modes. Also called Human-in-the-Loop (HIL).
I
Integration
A connection to an external service — API, webhook, or MCP server — that extends your agents’ capabilities.
L
LLM Task Node
A node that sends a prompt to a large language model with full configuration: persona, tools, policies, structured output, and memory access.
M
MAS (Multi-Agent System)
A system that coordinates multiple agents working together using an orchestration pattern.
MCP (Model Context Protocol)
An open standard for connecting AI systems to external tools and data sources. qRaptor can consume MCP servers (access external tools) and publish agents as MCP endpoints.
Memory
Persistent storage that agents use to remember information. Three tiers:
N
Node
A single step in an agent’s graph. qRaptor provides 30+ node types across categories: Flow Control, AI/LLM, Data, Tools, Memory, RAG, Human-in-the-Loop, and Communication.
O
Orchestration Pattern
The coordination strategy for a MAS. Patterns include: Router-Specialists, Planner-Executor-Verifier, Hierarchical, Debate-Judge, Map-Reduce, and ReAct.
P
Plan
The pricing tier for your subscription. Tiers: Free, App Lite, Starter, Pro, Team, Enterprise.
Preview
A deployment environment for safe testing. Only your team can access it.
Production
The live deployment environment serving real end-users at yourapp.qraptor.app.
Profile Memory
One of three memory tiers. Stores end-user preferences and attributes (explicit and LLM-inferred) that persist across conversations.
Project
A container that groups agents, apps, data, tools, and deployments for a single product or initiative.
Q
Quick Prompt Node
A simplified LLM node for one-shot prompts without persona, memory, or tool access.
R
RAG (Retrieval-Augmented Generation)
A technique where the agent searches relevant documents from a Content Store before generating a response, grounding answers in your data.
RBAC (Role-Based Access Control)
The permission model controlling who can do what. Roles: Owner, Admin, Developer.
Remote Executor
A lightweight agent runtime you deploy in your own infrastructure (on-premise, VPC, or GPU). Connects to qRaptor via secure WebSocket. Lets agents run close to your data.
Run
A single execution of an agent from trigger to completion. Tracked with timing, cost, node-by-node progress, and trace data.
S
Semantic Memory
One of three memory tiers. Facts, rules, and knowledge the agent learns from its executions — shared across all users of that agent.
Session
A conversation context between an end-user and an agent. Sessions maintain state across multiple messages within a single interaction.
Studio
The qRaptor web application at studio.qraptor.ai where you build, test, and manage everything.
Subscription
The top-level billing and isolation boundary. Every resource belongs to one subscription. Your data is completely isolated from other subscribers.
T
Table
A structured data store in the Data Vault. Supports schema design, ER diagrams, and a SQL query explorer.
Task Agent
A workflow-based agent that executes a defined graph of steps. Nodes run in sequence with branching, loops, and parallel execution. Ideal for deterministic pipelines and automations.
Tool
An external capability an agent can invoke: API calls, database queries, code execution, file operations, web search, and more.
Trace
A complete record of a request flowing through the system. Shows timing, node execution, tool calls, and any errors.
V
Version
An immutable snapshot of an agent’s graph, configuration, and tools. Created automatically on save. You choose which version to deploy.
W
Workspace
See Agentic Workspace (for agents) or the app workspace (for generated applications).
Can’t find a term? Contact us at innovate@augmentappz.ai.