Guide contents
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.
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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.
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.
Episodic vs Semantic Agent Memory
Architectural separation of AI agent memory into a long-term factual knowledge base (Semantic Memory) and a chronological event log of specific working sessions (Episodic Memory).
MCP (Model Context Protocol)
An open standard from Anthropic based on JSON-RPC 2.0 for unified bidirectional connection of AI assistants to external tools, databases, and system environments.
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.
Kimi K3.1 Pro: Moonshot Updates Model for 3D Tooling
Moonshot released Kimi K3.1 Pro with a focus on 3D tooling, updated post-training, and an architecture change aimed at better long-context efficiency.