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What Is Agentic AI? Architectural Foundations
How to Build Your First AI Agent in Python
AI Agent Token Economics: Cost Per Run
Prompt Engineering for AI Agents: System Prompt Architecture
AI Agent ROI Metrics and Cost Calculation
How to Become an AI Engineer 2026: The Skills Map

ReAct Pattern: Reasoning and Acting in Agents
Plan-and-Execute Agent Architecture
State Machine AI Agent: Deterministic Control in Probabilistic Systems
Task Decomposition Algorithms for AI Agents
Agent Reflection and Self-Correction Loops
LangGraph Time-Travel Debugging for Agent Graphs
Event-Driven AI Agent Architecture for High-Scale Pipelines
AI Agent Retry Logic: Failure Recovery and Limits
Agentic RAG: Adaptive and Corrective Retrieval
GraphRAG and Knowledge Graphs for Agents
Semantic Context Engineering for Agents
Agent-as-a-Tool vs Agent Handoff: Architectural Patterns
Supervisor vs. Swarm Agent Networks vs

Model Context Protocol (MCP): Complete Guide
MCP Streamable HTTP: Stateless Transport Deep Dive
MCP OAuth 2.1 Authorization with Entra ID
Building an MCP Server in Python
Deploying MCP Servers on Kubernetes
MCP Apps: Delivering UI Components from Tool Servers
MCP Caching: Optimizing ttlMs and cacheScope for Agents
MCP Rate Limiting for Agent Loops: Production Guide
Building Custom MCP Connectors for Legacy Systems
A2A Protocol Guide: Agent-to-Agent Communication
A2A Agent Cards: Dynamic Discovery and Capability Passports
Generating and Validating A2A Agent Cards
A2A Task Delegation and Streaming
A2A Dynamic Agent Discovery at Runtime
W3C Trace Context Propagation in A2A
A2A Cross-Platform: AWS Bedrock to Azure AI
A2A v1.0 Migration and Backward Compatibility
Auditing A2A Agent Communication Logs
Stateless vs Stateful MCP Servers vs
MCP vs. Function Calling APIs vs

AI Agent Memory Systems: Working, Episodic, Procedural
Working Memory: Managing Agent Context Windows
Episodic Memory: Vector Databases for Agent History
Procedural Memory: Agent Skill Libraries for Reusable Functions
Knowledge Graphs and Multi-Hop Reasoning for AI Agents
Context Window Exhaustion: Strategies and Recovery for Agents
Dynamic Context Eviction Algorithms for LLMs
Long-Term Memory Consolidation for Agents
Storing Agent Conversation Threads in Redis
LangGraph PostgreSQL State Checkpointer for Durable Agents
Hybrid Retrieval: BM25 and Vector Search Combined
Corrective RAG (CRAG): Context Quality Loops
Self-RAG: Reducing Hallucinations Through Reflection
GraphRAG vs. Vector Stores vs

LangGraph Checkpointers and State Persistence
LangGraph Subgraphs and Conditional Routing
LangGraph Time-Travel Debugging for Agent Graphs
LangGraph Map-Reduce and Parallel Execution
CrewAI Hierarchical Processes: Delegation and Validation
CrewAI Human in the Loop: Implementing Approval Handoffs
Smolagents: Code-Executing Agents Tutorial
Smolagents with E2B Sandboxing: Secure Code Execution
PydanticAI Tutorial: Type-Safe Agent Outputs
OpenAI Agents SDK Guide: Native Handoffs and Guardrails
Semantic Kernel: .NET Multi-Agent Systems in C#
LlamaIndex Workflows for Event-Driven RAG
AWS Bedrock AgentCore: MicroVM Deployment
Mastra: TypeScript Agents for Web Applications
AI Agent Framework Ecosystem Map 2026
LangGraph vs. CrewAI vs

LLM Observability with OpenTelemetry for Agents: Production Guide
OpenTelemetry GenAI Semantic Conventions for Agent Spans
Tracing Multi-Agent Workflows with OpenTelemetry
Measuring P99 Latency in AI Agents
LLM-as-a-Judge: Agent Output Evaluation
Tool Use Correctness Evaluation: Scoring and CI Validation
Multi-Turn Agent Evaluation Ragas: Thread-Level Scoring Guide
Braintrust: CI/CD Agent Evaluation Setup
Agent Cost Attribution and Token Tracking Guide
Prompt Versioning and Drift Detection for LLM Agents
CI/CD Pipelines for LLM Applications: Production Blueprints
Automated Rollbacks for AI Agents
Managing Non-Deterministic Agent Outputs
Sandboxing Code Interpreter Agents: Secure E2B and Docker
HITL Escalation with LangGraph Interrupt Nodes
Fallback LLM Providers for Agent Reliability: Implementation Guide
OpenInference vs OpenTelemetry GenAI vs

OWASP Top 10 for Agentic AI Applications
Preventing Agent Goal Hijacking (OWASP ASI01)
Tool Misuse and Recursive Loop Budgets (OWASP ASI02)
Agent Identity and Privilege Abuse (OWASP ASI03)
MCP Supply Chain Compromise (OWASP ASI04)
Sandboxing Unexpected Code Execution (OWASP ASI05)
Red Teaming AI Agent Workflows: Simulating Adversarial Attacks
System Prompt Leakage: Detection and Defense
Governance-in-the-Loop (GITL): Beyond HITL
EU AI Act Compliance for Agentic Systems
Data Residency and Context Governance for AI Agents
RBAC for MCP Tools with Entra ID
Cross-Tenant Data Isolation in Multi-Tenant Agents
Model Collapse and Poisoned MCP Ecosystems
DORA Regulations for Financial AI Agents
Automation Bias and HITL Complacency in AI Agents
GITL vs HITL vs

The Future of Agentic AI: 2026–2031 Trajectory
Self-Improving Agents with RLVR
Darwin-Gödel Machine Architecture for Self-Evolving Agents
Reinforcement Learning with Verifiable Rewards (RLVR)
World Models for Agentic Planning
Computer Use and GUI Automation Agents
Autonomous Software Engineering Agents in 2026
Scientific Discovery with Hypothesis-Generation Agents
Multimodal RAG: Video and Audio Agents
Edge AI Agent Local Inference on Constrained Hardware
Agentic Data Engineering: NL-to-SQL Agents

An AI Research Agent in Python with LangGraph
A Self-Correcting Coding Agent with LangGraph and E2B
A Production Customer Support Agent with LangGraph
A Browser Agent with Playwright and LangGraph
A Production-Grade MCP Server in Python with Tooling
A Multi-Agent Research Platform with LangGraph and A2A
A Long-Term Memory Agent with Python and pgvector
A Production AI Agent with OpenTelemetry & Braintrust Evaluation
A Secure Enterprise AI Agent with RBAC and Compliance
An Autonomous Coding Agent with GitHub CI/CD and LangGraph

AI Agents› Foundations

Topic Hub

Foundations

Core agentic AI concepts, agent loop design, token economics, and the engineering fundamentals for building autonomous systems.

What Is Agentic AI? Architectural Foundations How to Build Your First AI Agent in Python AI Agent Token Economics: Cost Per Run Prompt Engineering for AI Agents: System Prompt Architecture AI Agent ROI Metrics and Cost Calculation How to Become an AI Engineer 2026: The Skills Map