Agentic AI Stack - 7-Layer Architecture

01

Language Model

🧠

▼

The foundation layer providing natural language understanding and generation capabilities.

GPT-4 Claude Llama

Try it out:

Best Practices:

Use appropriate model size for task complexity
Implement proper prompt engineering
Monitor token usage and costs

02

Memory & Context

💾

▼

Manages conversation history, retrieval mechanisms, and contextual information persistence.

Vector DBs Redis Pinecone

Chat Memory Demo:

Best Practices:

Implement sliding window for recent context
Use vector embeddings for semantic search
Balance memory retention vs. performance

03

Tooling

🔧

▼

External tools and APIs that extend the agent's capabilities beyond text generation.

APIs Databases Web Scraping

Live API Demo:

Best Practices:

Implement proper error handling and retries
Use rate limiting to avoid API abuse
Validate and sanitize tool outputs

04

Orchestration

🎭

▼

Coordinates multiple agents, manages workflows, and handles task delegation and execution planning.

LangChain AutoGPT CrewAI

Workflow Visualization:

Best Practices:

Design clear agent roles and responsibilities
Implement proper task queue management
Monitor and log all orchestration decisions

05

Communication

📡

▼

Handles inter-agent communication protocols, message routing, and external system interfaces.

WebSockets Message Queues gRPC

Message Protocol Demo:

Best Practices:

Use standardized protocols like JSON-RPC
Implement message acknowledgments
Design for fault tolerance and retries

06

Infrastructure

🏗️

▼

Underlying systems including containers, databases, caching, and deployment infrastructure.

Docker Kubernetes AWS

System Status:

Best Practices:

Use containerization for consistency
Implement proper monitoring and alerting
Design for horizontal scalability

07

Evaluation

📊

▼

Metrics, testing frameworks, and quality assurance systems for agent performance evaluation.

Metrics A/B Testing LangSmith

Quality Assessment:

Hallucination Score: 0.15 PASS

Best Practices:

Define clear evaluation metrics
Implement continuous testing pipelines
Use human feedback for quality control

Explore the 7-Layer Agentic AI Stack

The 7 Layers of Agentic AI

Language Model

Try it out:

Best Practices:

Memory & Context

Chat Memory Demo:

Best Practices:

Tooling

Live API Demo:

Best Practices:

Orchestration

Workflow Visualization:

Best Practices:

Communication

Message Protocol Demo:

Best Practices:

Infrastructure

System Status:

Best Practices:

Evaluation

Quality Assessment:

Best Practices:

Tool Schema Playground

Schema Editor

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