Welcome to EverWorker, the enterprise platform for creating, deploying, and managing intelligent AI agents. This documentation helps you understand and use every aspect of the platform.

Quick Start by Role

Role	Start Here	Key Sections
Users	Business User Experience	Chat interface, sessions, file uploads
Builders	Builder Tools	AI Worker Builder, Canvas, Skills
Admins	Admin & Management	User management, security, analytics

Core Concepts

Before exploring the platform, review the Terminology page to understand key concepts:

AI Workers — Conversational AI agents for flexible tasks
AI Workflows — Visual node-based automations built in Canvas
Providers & Connectors — External API integrations
Memory & Knowledge — Enterprise knowledge management (EKE)
Skills — Capabilities that Workers can use (Workflows, APIs, MCP Tools)

Documentation Sections

Building & Creating

Section	Description
Workers Architecture	AI Workers vs AI Workflows, how they work
Builder Tools	AI Worker Builder, Canvas visual designer
Canvas Nodes	Complete reference for all workflow nodes

Integrations & Capabilities

Section	Description
Provider & Integration System	API Providers, Connectors, LLM Models, OAuth
Skills & Capabilities	AI Workflows, API Providers, MCP Tools
Memory & Knowledge (EKE)	Vector memory, knowledge sources, embeddings

Platform Management

Section	Description
Business User Experience	Chat interface, sessions, file handling
Admin & Management	Users, roles, organizations, observatory
Authentication & Security	OAuth, SSO, access control

Analytics & Navigation

Section	Description
Business Analytics	ROI tracking, usage metrics, dashboards
Navigation & UX	Menu structure, persona-based navigation

API Reference

For programmatic access, see the API Reference section covering:

REST API endpoints for executing Workers
Webhook integrations
Output schema specifications