AI Agents

Explore how developers are leveraging frontier LLMs and NVIDIA Omniverse to automate simulation workflows, from asset generation to physics verification.

Learn how to architect, build, and deploy secure Docker-based AI agents capable of executing code and terminal commands in isolated sandbox environments, integrated with high-performance LLM APIs.

Large Language Models are inherently stateless, resetting with every API call. Learn how to build sophisticated memory architectures—covering short-term, semantic, episodic, and procedural memory—with actionable code examples and design patterns.

NVIDIA and Microsoft are co-engineering hardware and software to bring local AI agents to Windows PCs. Discover how RTX Spark, SLMs, and hybrid cloud architectures powered by API platforms like n1n.ai shape the future of local-first AI development.

Discover how AI agent automation works in practice. Learn the 5 components of an individual agent, the 3 extensions of agent teams, and how deterministic guardrails and token routing deliver reliable multi-agent execution.

Atlassian and OpenAI are deepening their collaboration to integrate frontier models like GPT-4o with enterprise team data, accelerating AI agent workflows across Jira, Confluence, and developer tooling.

Explore why system prompts fail to prevent autonomous AI agents from hallucinating task completion, and learn how to implement code-level pre-delivery checks using wOS architectural standards.

Autonomous AI agent swarms powered by Opus 5.5 have uncovered two promising room-temperature magnetic semiconductor candidates, accelerating spintronics research through multi-agent computational workflows.

AI agents re-read every tool result on every single turn, rapidly inflating API costs. Learn how to build a zero-dependency, rule-based context compactor in TypeScript to reduce agent token consumption by up to 96%.

Independent security researchers have uncovered an autonomous AI agent swarm operating on cloud infrastructure, conducting automated exploration and interaction against Alibaba's Amap geospatial ecosystem.

Learn how to construct event-driven, framework-agnostic ambient AI agents on Amazon Bedrock AgentCore using SQS, Lambda, DynamoDB, and a unified human-in-the-loop review system.

Explore the internal architecture of Microsoft Foundry Agent endpoints, including immutable versioning, canary traffic splitting, multi-protocol integration, and enterprise publishing to Teams and Copilot.