A fully functional Enemy Patrol & Chase AI System for Unreal Engine 5.

Video link available below.

Showcase Video: Video

Startup Guide (Initial Setup): Video

A demo is available.

Download: DEMO

documentation: documentation

This system allows you to quickly set up patrolling enemies that follow predefined paths and react dynamically to the player.

Upon entering the enemy` s field of vision (vision cone), the enemy detects and begins chasing the player.

Once the player escapes the enemy` s sight, the enemy returns to its patrol route.

This blueprint required - system is ideal for stealth games, horror games, action-adventure projects, and prototyping.

No programming required - plug-and-play design makes it accessible even for Unreal Engine beginners.

Key Features:

✔️ Predefined patrol routes with editable path nodes

✔️ Vision cone detection system

✔️ Intelligent chasing behavior

✔️ Includes a memory-based chase system: enemies will continue chasing for 3 seconds after losing sight.

✔️ Memory time is customizable in the Blueprint, allowing full control over AI behavior

✔️ Smooth return to patrol after losing sight

✔️ 100％ Blueprint - no coding needed

✔️ Fully modular and easy to customize

Compatibility:

✔️ Works with Unreal Engine 5.4,UE_5.5,UE_5.6,UE_5.7

This demo map show cases the functionality of the AI Patrol & Chase System.

Key elements included in the map:

• Predefined patrol paths with editable waypoints

• Enemy AI that detects the player using a vision on cone system-

• Smooth transitions between patrol and chase states

• Simple environment for testing line of sight and pathfinding behavior

purpose of the map:

• To demonstrate how the AI reacts to the player

• To provide a starting point for developers to integrate the system into their own levels

• To test and customize behavior without additional setup

The map is kept minimal and clean to ensure optimal performance and easy integration.

All elements can be duplicated or modified to suit any project.

We plan to keep updating and expanding this asset based on your feedback.