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.

​

Agent Types

Neural Factory supports different agent architectures to handle varying levels of task complexity.

​

Standard agent (ReAct)

The default agent type. A standard agent handles requests directly using a ReAct (Reasoning + Acting) loop:

1. The agent receives your message
2. It reasons about what to do next
3. It optionally uses a tool (search, code execution, etc.)
4. It observes the tool result
5. It repeats steps 2–4 as needed
6. It generates a final response

Standard agents are ideal for:

• Answering questions from knowledge bases
• Simple tool-based tasks (web search, code execution)
• Single-domain Q&A with well-defined scope

​

CodeAct agent

A specialized agent that follows a plan-code-execute-validate workflow:

1. Analyzes the request and creates a plan
2. Generates code to accomplish the task
3. Executes the code in a sandboxed environment
4. Validates the output and iterates if needed

CodeAct agents excel at:

• Data analysis and transformation tasks
• Generating reports from structured data
• Complex calculations and computations

​

Orchestrator (Multi-Agent)

An orchestrator is a lead agent that delegates tasks to specialized subagents. Instead of handling everything itself, it:

1. Analyzes the incoming request
2. Determines which subagent(s) are best suited
3. Delegates to the appropriate subagent(s)
4. Synthesizes results from subagent responses
5. Returns a unified answer to the user

Orchestrators are ideal for:

• Organizations with many specialized knowledge domains
• Complex requests that span multiple areas of expertise
• Workflows where different tools or knowledge sources need to be coordinated

Learn more about setting up orchestrators in Multi-Agent Workflows.

​

Choosing the right type