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Documentation Index

Fetch the complete documentation index at: https://docs.neuralfactory.ai/llms.txt

Use this file to discover all available pages before exploring further.

Agents Overview

Agents are the core of Neural Factory. Each agent is a configured AI assistant with a specific purpose, knowledge, and set of tools — a specialized coworker for a particular domain.
Agents list page

What defines an agent

Every agent is configured with:
  • Name and description — Identifies the agent to users
  • System prompt — Instructions that define behavior, tone, and expertise
  • AI model — The underlying language model (GPT-4o, GPT-4.1, Claude, etc.)
  • Knowledge bases — Document collections the agent can search
  • Tools — Capabilities like web search, code execution, or external integrations
  • Access control — Which users or groups can interact with the agent

How agents work

When a user sends a message, the agent:
  1. Reads the context — Previous messages, system prompt, and any attached files
  2. Reasons about the task — Determines what information or actions are needed
  3. Uses tools if needed — Searches knowledge bases, executes code, calls APIs
  4. Generates a response — Produces an answer with citations from retrieved sources
This uses a ReAct (Reasoning + Acting) loop — the agent thinks step-by-step, deciding at each point whether to use a tool or respond directly.

Agent types

TypeDescription
Standard agentHandles requests directly using its tools and knowledge
OrchestratorA multi-agent setup where a lead agent delegates to specialized subagents
Learn more in Agent Types and Multi-Agent Workflows.

Managing agents

Administrators create and configure agents from the Agents section in the sidebar: