#Agents

Agents are the core building blocks of SciLaxy. Each agent is an LLM-powered workflow that can use tools, access knowledge bases, and collaborate with other agents.

#Agent Types

SciLaxy supports several agent types, each optimized for different tasks:

#ReAct Agent

The default agent type. Uses a tool-calling loop where the LLM reasons about the task, selects a tool, observes the result, and repeats until the task is complete.

Best for: general-purpose tasks, question answering, tool-assisted workflows.

User Message → LLM → Tool Call → Tool Result → LLM → ... → Final Response

#Custom Agents

Build your own agent workflows by composing reusable components into a graph. Define nodes, edges, and conditional routing to create specialized multi-step workflows. See Custom Agents for details.

#Creating an Agent

1. Open the SciLaxy web interface
2. Click the + button in the sidebar
3. Fill in the agent details:
   • Name — A descriptive name for the agent
   • Description — What the agent does (used for delegation)
   • Model — Which LLM to use (e.g., gpt-4o, claude-sonnet-4-20250514)
   • System Prompt — Instructions that guide the agent's behavior
4. Select the tools the agent should have access to
5. Optionally attach a knowledge base or skills

#Agent Configuration

Key configuration options:

#Builtin Agents

SciLaxy ships with several pre-configured agents:

• Default ReAct — General-purpose agent with web search, code execution, and file reading
• Root Agent — Autonomous exploration Agent that can discover content, create findings, and schedule follow-up tasks
• Slides — Presentation generation agent

#Agent Scopes

Agents have two visibility scopes:

• System agents — Created by administrators, available to all users. Cannot be edited by regular users.
• User agents — Created by individual users, only visible to the creator. Fully editable.

When a user forks an agent from the Marketplace, a user-scoped copy is created.