INTERACTIVE AI AGENT ARCHITECTURE

AI Agent Architecture Diagram

Master AI agent architecture with our interactive diagram. Discover how to handle state management in complex AI agent systems that process multimodal data (text, images, video, audio), from LLM reasoning to infrastructure orchestration, and explore the interconnected components that power intelligent, autonomous AI agent systems.

Interactive AI Agent Components

Click any component to explore its role and capabilities in AI agent architecture

Multimodal AI Agent Systems

Handle video, images, audio, and documents in production AI agent systems with unified infrastructure

Learn AI Agent Development

Follow our practical guide to build your own AI agents with proper state management

Interactive AI Agent Architecture Diagram

Explore the interconnected components that power modern AI agent systems, from reasoning to infrastructure orchestration

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

Understanding AI Agent Architecture

The diagram above reveals four key layers that handle state management in complex AI agent systems processing multimodal data

Intelligence Layer

LLM reasoning and orchestration

Infrastructure Layer

Pixeltable's multimodal foundation

Tools Layer

External integrations

Data Layer

Persistent state management

Multimodal AI Agent Capabilities with Pixeltable

Build AI agents that seamlessly process video, images, audio, and documents. Pixeltable's unified infrastructure eliminates the complexity of managing diverse data types in AI agent systems.

Video & Image Analysis Agents

Build agents that understand visual content with Pixeltable's declarative approach to video processing, object detection, and image analysis.

  • Automatic frame extraction and analysis
  • Object detection with YOLOX integration
  • Visual similarity search with CLIP

Try Multimodal Agent Demo

Experience a live multimodal agent built with Pixeltable

RAG-Powered Agents

Build knowledge-aware agents with document processing

Document & Audio Processing

Create agents that understand documents, transcribe audio, and extract insights from unstructured data with Pixeltable's built-in processing capabilities.

  • PDF and document chunking for RAG
  • Audio transcription with Whisper
  • Semantic search across all data types

Key Challenges in AI Agent Architecture

Building effective AI agent systems requires addressing fundamental architecture challenges

State Persistence

Managing agent state across conversations and sessions in complex AI agent systems requires robust persistence mechanisms.

Learn State Management →

Multimodal Data

Processing diverse data types (video, images, audio, text) in unified AI agent architecture without complex pipelines.

Build Multimodal Apps →

Infrastructure Complexity

Coordinating multiple AI agents requires sophisticated orchestration and shared infrastructure patterns.

Declarative Infrastructure →

Ready to Build Production AI Agents?

Stop wrestling with infrastructure complexity. Start building intelligent multimodal AI agent systems with Pixeltable's declarative approach to state management and data orchestration.

pip install pixeltable • Open Source • Apache 2.0 License