Guide contents
Practical Reference: AI Agent Architecture in 2026
A production reference for autonomous agent architectures: six system layers, five orchestration patterns, memory tiering, loop circuit breakers, and a production readiness checklist.
This guide is available to AI-Base subscribers
Get full access to this practical guide, ready-made configurations and terminal scripts.
Related Ecosystem Resources
Explore practical workflows, core terminology, and engineering tools
Part I. AI Agent Architecture: The Foundations
The eleven foundational building blocks of modern autonomous agents: model taxonomy, the agentic runtime loop, advanced prompting, distillation, skills architecture, memory systems, function calling, and FinOps.
Part II. AI Agent Architecture: From Model to Memory and Tools
A deep engineering dive: tokenization, KV-cache, sampling determinism, the training stack, quantization, context engineering, the safety stack, production RAG, ReAct, and multi-agent swarm systems.
Agent-to-Agent Protocol (A2A)
An open standard for network interaction, decentralized discovery, and secure context exchange between independent AI agents across various vendors and platforms.
Subagent Delegation Architecture
A hierarchical architectural pattern for building complex AI systems. Instead of attempting to solve everything with a single universal language model, a main orchestrator agent (Router/Manager) breaks down tasks and delegates them to specialized subagents (Researcher, Coder, Critic).
OpenAI introduces GPT-6 Cyber, a record-setting model for cybersecurity tasks
OpenAI reports new cybersecurity benchmark results for GPT-6 Cyber, including a 48.5% score in ExploitGym and the discovery of 81 previously unknown Firefox vulnerabilities, while access remains limited.
Moonshot AI Publishes Kimi K3.1 Pro Weights on Hugging Face
Moonshot AI released the weights of Kimi K3.1 Pro on Hugging Face, but local deployment requires extremely powerful and expensive hardware.