Agent Code

Gold definitionUpdated Apr 2, 2026

Definition

Agent Code refers to the executable logic that orchestrates Large Language Model (LLM) agents through multi-step workflows, integrating planning, memory, and tool use to achieve complex tasks autonomously. It defines the operational framework for agentic behaviors.

At a glance

Executive summary

Agent Code defines how AI agents, powered by large language models, perform complex tasks by combining planning, memory, and tool use. While enabling greater autonomy, this multi-step design also introduces new security vulnerabilities, as malicious inputs can spread across different stages of the agent's operation.

TL;DR

Agent Code is the programming logic that allows AI agents to plan, remember, and use tools to complete tasks, but its complexity makes it vulnerable to new types of attacks.

Key points

Orchestrates LLM agents through multi-step workflows combining planning, memory, and tool use.
Enables greater autonomy and complex task execution for AI systems.
Used by researchers in AI safety, autonomous systems, and advanced NLP.
Unlike static LLM prompts, Agent Code defines dynamic, interactive, and stateful behaviors.
Current research focuses on understanding and mitigating backdoor threats in multi-stage agent workflows.

Use cases

Autonomous research agents that plan experiments, execute code, and analyze results.
Customer service agents that manage multi-turn conversations, access databases, and use external APIs.
Robotic control systems where LLM agents plan actions, remember past states, and operate physical tools.
Personal AI assistants that manage schedules, book appointments, and interact with various web services.
Cybersecurity agents that analyze system logs, identify threats, and execute defensive actions.

Also known as

LLM Agent Code, Agentic Code, Agent Workflow Code, AI Agent Logic