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Auteryn

Key Concepts

Before you build, it helps to understand the vocabulary. Read these once and the rest of the docs will make much more sense.

Agent Core

Section titled “Agent ”

An agent is an AI assistant you configure for a specific purpose. It has:

  • An identity — its name, role, and personality
  • Instructions — what it should do and how it should behave
  • Integrations — the services it can connect to and act on
  • Knowledge — retrievable context it can search
  • Skills — reusable workflows for specific task types

You can have as many agents as you need — one per use case, or one shared agent for your whole team.

Integration Core

Section titled “Integration ”

An integration is a connectable external service (Slack, GitHub, Notion, and more). When you authenticate one, you create a connection — a live instance agents can use. Every connection has an identity: signing in with your own account creates a personal connection (acts as you, private to you until you share it), while bot tokens, API keys, and service accounts create a shared team connection anyone in the org can use.

Category Examples
Messaging Slack
Version Control GitHub
Productivity Google Workspace (Docs, Sheets, Drive, Calendar), Notion
Project Management Jira, Confluence
Custom Any REST API or MCP server

When you attach an integration to an agent, you control exactly what it is allowed to do (e.g., read issues but not delete repositories).

Knowledge Core

Section titled “Knowledge ”

Knowledge is retrievable context your agent can search when answering questions or completing tasks.

Supported sources:

  • Documents — upload PDFs, Word docs, text files
  • Notion — sync pages and databases
  • Confluence — sync spaces and pages
  • Google Drive — sync folders and documents
  • GitHub — sync repositories (README, docs, code)
  • Web Crawler — crawl any public website

The agent retrieves the most relevant chunks automatically — you don’t need to manage this manually.

Skill Core

Section titled “Skill ”

A skill is a reusable workflow template that tells your agent how to approach a specific type of task. Think of it as a standard operating procedure for the agent.

Coding

Write, debug, and review code following best practices.

Research

Search, read, and synthesize information from multiple sources.

Customer Support

Handle questions, escalations, and follow-ups professionally.

DevOps

Monitor systems, respond to incidents, manage deployments.

Flow Core

Section titled “Flow ”

A flow is an automation that triggers your agent based on an event or schedule — without you having to manually start it.

Trigger → Agent runs → Takes action


Triggers:
  • Webhook / API event
  • Scheduled time (cron)
  • Slack message mention
  • New email
  • GitHub issue opened

Examples:

  • Every time a new GitHub issue is opened → agent triages and labels it
  • Every Monday at 9am → agent generates a weekly report and posts to Slack

Credit Billing

Section titled “Credit ”

Credits are the unit of measurement for your Auteryn usage. Each agent run consumes credits based on the complexity and length of the task.

  • Your plan includes a monthly credit allowance
  • You can purchase additional credits at any time
  • You can set budget limits per agent to prevent overspend

See Credits & Billing → for the full breakdown.

How these concepts connect

Section titled “How these concepts connect”
User message / Flow trigger
         ↓
      [Agent]
     ↙   ↓   ↘
Integrations  Knowledge  Skills
   ↓            ↓           ↓
Action       Answer      Method