Agent Web

Gold definitionUpdated Apr 2, 2026

Definition

The Agent Web refers to the intricate, multi-step operational environment of large language model (LLM) agents, characterized by their interconnected workflows involving planning, memory, and tool use. This complex structure enables autonomous task execution but also expands the attack surface for threats like backdoor propagation across stages.

At a glance

Executive summary

The Agent Web describes how advanced AI agents, built on large language models, operate through complex, interconnected steps like planning, remembering, and using tools. While this allows them to perform difficult tasks autonomously, it also creates many opportunities for malicious attacks to spread throughout their operations.

TL;DR

The Agent Web is the complex system of interconnected steps and tools that advanced AI agents use to do tasks, making them powerful but also vulnerable to attacks that can spread through their entire process.

Key points

LLM agents execute tasks via dynamic, multi-step workflows integrating planning, memory, and tool use.
Enables autonomous execution of complex, real-world tasks beyond single-turn interactions.
Used by researchers and engineers developing autonomous LLM agents, particularly those focused on AI safety and security.
Unlike isolated LLM calls, the Agent Web emphasizes the persistent, cross-stage interaction and propagation of information and influences within an agent's operational cycle.
Growing focus on understanding and securing the expanded attack surface and cross-stage propagation of threats in complex LLM agent workflows.

Use cases

Automated Web Research: An agent planning searches, browsing web pages (tool use), and synthesizing information (memory) to answer complex queries.
Software Development Agents: An agent that plans code changes, uses a code editor (tool), compiles/tests (tool), and remembers project context to implement features.
Personal Assistants: An agent managing schedules (planning), sending emails (tool), and recalling user preferences (memory) for daily tasks.
Scientific Discovery: An agent designing experiments (planning), running simulations (tool), and analyzing results (memory) to generate hypotheses.

Also known as

LLM agent workflows, autonomous agent systems, agentic workflows, agent operational environment, LLM agent ecosystem