Talk. Plan. Play. — Now your game understands you.
With AgentCore, your Unity world becomes truly interactive — powered by AI that listens, plans, and acts.
AgentCore is an AI Agent Framework that bridges natural language and real gameplay.
Say "Go to the shop and buy three potions," and watch your AI-controlled character move, talk to the NPC, and make the purchase — automatically.
No hardcoded triggers. No dialog trees. Just intelligent behavior driven by language.
What Makes AgentCore Different
Unlike simple "ChatGPT-in-Unity" plugins, AgentCore provides a full cognitive pipeline:
Intent Recognition → Multi-Step Planning → Unity Command Execution → Memory Recall.
It doesn't just reply — it remembers, understands, and acts.
Whether you're building an interactive RPG, an AI companion, or an experimental simulation, AgentCore lets your AI agents think and behave like real players.
Key Features
1. Context-Aware Memory System
AgentCore remembers conversations, past actions, and player context.
Even after long play sessions, it recalls history naturally:
"What did I buy last time?"→ "You bought three potions and a sword. Want to visit the blacksmith again?"
Its built-in summarization keeps memory coherent and efficient.
2. Direct Unity Command Control
Through the CommandRegistry, AI directly triggers Unity functions such as:
- MoveCommand → Character movement
- InteractCommand → NPC or object interaction
- BuyItemCommand → Store transactions
- EvaluateArgumentCommand → Logical evaluation
You describe the action — AgentCore executes it inside Unity.
3. Multi-Step AI Planning
AgentCore's dependency-based planner turns complex goals into actionable sequences:
"Go to town, talk to the merchant, and buy a sword."→ Step 1: Move → Step 2: Interact → Step 3: Purchase
Supports sequential and parallel task execution — ideal for RPGs, sims, or AI strategy prototypes.
4. Dual Operation Modes
- Unity Standalone Mode: Works instantly, no setup needed — great for prototypes and indie projects.
- Python Server Mode (LangChain): Full autonomy and custom agent logic using FastAPI & LangChain.
Start lightweight, scale to advanced AI systems anytime.
5. Built for Learning & Research
AgentCore is also an educational playground for AI developers.
Learn real-world agent design inside Unity:
- Intent → Plan → Execute → Memory pipeline
- LangChain-based reasoning & memory
- Unity ↔ Python communication via FastAPI
- Modular scene-based command design
Perfect for students, AI engineers, and game devs exploring agentic gameplay.
3 Fully Playable Demo Scenes
1) RPG Village — "AI Understands the World"
Say "Go to the potion shop and buy three potions."
The AI navigates, interacts, and trades — a complete autonomous gameplay experience.
2) Visual Novel — "AI Understands Emotion"
"Give Sakura a gift and ask how she feels."
AI reads context, tracks emotional state, and responds dynamically like a real character.
3) Debate Battle — "AI Judges Logic"
"Let the AI referee decide who wins."
AI evaluates arguments, generates rebuttals, and scores reasoning in real time.
Who It's For
- Indie Game Developers: Bring NPCs to life with true conversational intelligence.
- AI Researchers & Educators: Test planning, memory, and reasoning inside a real 3D environment.
- Prototype Builders: Rapidly build AI-driven gameplay concepts without custom backends.
- LangChain Users: Connect Python-based AI agents directly to Unity.
AgentCore turns Unity into a living AI laboratory where imagination becomes behavior.
Why Developers Love AgentCore
- Natural language → Real game action
- AI planning, reasoning, and memory all in one framework
- Dual modes: Quick-start (Unity) or advanced (Python LangChain)
- Works with multiple AI providers and local models
- Three complete, ready-to-run demo scenes included
Description sourced from the Unity Asset Store listing.
