INTERACTIVE EXPLORATION

AI Agent Architecture

Discover how modern AI agents work under the hood. From LLM reasoning to infrastructure orchestration, explore the interconnected components that power intelligent, autonomous systems.

Interactive Components

Click any component to explore its role and capabilities in detail

Real Architecture

Based on production agent systems and best practices

Learn by Doing

Follow our practical guide to build your own agents

AI Agent Architecture

Explore the interconnected components that power modern AI agents, from reasoning to infrastructure

LLM (Brain)

Cognitive Engine

Reasoning & Planning
Response Generation
Context Understanding

Agent Logic / App

Orchestration Layer

Application Code
Planning Loops (ReAct)
Decision Making

Pixeltable Infrastructure

Declarative AI Data Foundation

Unified Storage & State (Tables, Versioning, Agent Memory)
Vector Indexing & Search (Knowledge Base / RAG)
Tool Orchestration (UDFs, Computed Columns)
Multimodal Data Handling (Text, Images, Audio, Video)
Automatic Lineage & Caching

Tools (External)

External Capabilities

APIs (Web Search, etc.)
Code Execution
Database Queries
Custom Functions (UDFs)
Intelligence
Infrastructure
Orchestration
External Tools

Why Architecture Matters

Building effective AI agents requires understanding how different components work together. This interactive diagram shows the four key layers of modern agent architecture.

Intelligence Layer

LLM reasoning and application orchestration

Infrastructure Layer

Pixeltable's declarative data foundation

Tools Layer

External capabilities and integrations

Ready to Build?

Start building your own AI agents with Pixeltable's declarative infrastructure. No more wrestling with complex plumbing – focus on the intelligence.