The AI Agent Stack in 2026: Every Layer Explained
A complete breakdown of the AI agent stack in 2026. Foundation models, orchestration frameworks, tools, observability, vector databases, and deployment options.
Tag
architecture
9 articles tagged architecture. Browse the full blog.
AI Agent State Management: State Machines, Redis Sessions, Recovery
How to manage state in AI agents. State machine patterns, Redis-backed persistent sessions, and recovery strategies for production agent systems in 2026.
Single Agent vs Multi-Agent Systems: Which One Do You Need?
Single agent or multi-agent? This guide cuts through the hype and explains exactly when each architecture makes sense, with real examples from production.
Voice AI Agent Architecture in 2026: How It Actually Works End-to-End
How voice AI agents work: STT with Deepgram or AssemblyAI, LLM in the middle, TTS with ElevenLabs or Hume. Latency budgets, barge-in, and interruption handling.
AI Agent Memory Patterns in 2026: What Actually Works
Short-term, long-term, episodic, semantic, working memory. How modern AI agents store and retrieve information, with real patterns from Letta, Mem0, and Zep.
How Architecture Firms Are Using AI in 2026
AI in architecture practice: spec writing, building code compliance checks, rendering assistance, and where firms are seeing real productivity gains.
AI Agent Error Recovery: Retry Logic, Circuit Breakers, Fallback Models
Production error handling for AI agents: retry with exponential backoff, circuit breaker pattern, fallback model routing, and real Python/TypeScript code.
AI Vendor Lock-In: How to Build Without Getting Trapped
Practical strategies to avoid AI vendor lock-in in 2026: model abstraction layers, data portability, multi-model architecture, and contract clauses that matter.
AI Agent Architecture Patterns: ReAct, Plan-Execute, and More
A practical guide to the most important AI agent architecture patterns: ReAct, Plan-Execute, Reflection, Multi-Agent, and more - with real examples and.