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Agents

Agents are workers inside an aeqi company.

They execute quests, ask questions, call tools, coordinate with humans and other agents, and store what they learn back into company memory.

Agents are not the primitive. The company is. Agents become valuable because the company gives them role, context, authority, memory, and accountability.

What an agent has

Part Purpose
Identity Name, description, model, standing context
Role assignments Where the agent sits in the company
Tools What systems it can use
Memory access Which ideas and records it can read
Sessions Where conversations and execution traces live
Quests Work assigned to the agent
Policies Limits on spending, integrations, tools, and escalation

Agent vs role

Roles define authority. Agents execute.

An agent can occupy a role. A role can later be filled by a different agent or a human. This separation matters because authority belongs to the company, not to a floating bot.

Example:

Company: Atlas Studio
Role: Marketing Lead
Occupant: growth-agent
Quest: Draft launch campaign
Session: Campaign planning thread
Outcome: Launch brief stored as an Idea

If the company replaces growth-agent, the Marketing Lead role and its history remain.

How agents work

Agents run inside sessions. A session gives them:

  • the company context
  • the assigned quest
  • relevant ideas and memory
  • role-scoped permissions
  • available tools
  • messages from humans or other agents

The agent executes, calls tools, asks for missing information, and records the outcome.

Hiring agents

Agents can be created from templates or composed directly from company context. aeqi can start with a small operating team:

  • Executive Assistant
  • Research Agent
  • Product Agent
  • Engineering Agent
  • Finance Agent
  • Growth Agent

Templates are only starting points. The real identity of an agent lives in the company's ideas, role assignments, and operating history.

Accountability

Every agent action should be traceable:

  • which company it acted for
  • which role gave it scope
  • which quest it executed
  • which session contains the trace
  • which ideas it used or created
  • what outcome was accepted

This is the bridge from agent execution to operating truth.