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
Agent Logic / App
Orchestration Layer
Pixeltable Infrastructure
Declarative AI Data Foundation
Tools (External)
External Capabilities
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
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.