Multi-Agent Systems

A deep dive into upgrading agentic workflows to Claude Opus 4, featuring fallback strategies with GPT-4o and DeepSeek-V3, session management optimizations, and Docker deployment best practices.

An in-depth guide to transitioning from simple LLM chatbots to autonomous multi-agent systems using state machines, native tool calling, and hierarchical orchestration.

OpenAI introduces Frontier, a comprehensive management layer designed to orchestrate, onboard, and govern AI agents across the enterprise, drawing inspiration from human HR practices.

OpenAI unveils the Codex app for macOS, a powerful command center designed for AI-native software development featuring multi-agent orchestration and parallel workflows.

Discover why scaling multi-agent LLM systems often leads to exponential error rates and learn the structured taxonomy required to build reliable, high-performance agentic workflows.

Humans&, a startup founded by veterans from Anthropic, OpenAI, and Google DeepMind, is shifting the AI paradigm from simple chat interfaces to complex multi-agent coordination systems.

An in-depth review of Wilson Lin's FastRender project, exploring how thousands of parallel LLM agents can redefine web rendering and browser automation.

A comprehensive guide on architecting complex AI systems using multi-agent patterns, specialized tools, and high-performance LLM APIs like DeepSeek-V3 and Claude 3.5 Sonnet.

A comprehensive guide to building agentic AI systems using Swarm, Graph, and Workflow patterns, featuring implementation strategies with MCP and AWS Strands.

An in-depth exploration of when to transition from single agents to multi-agent systems, covering four key architectural patterns and implementation strategies using LangGraph and high-performance APIs.

Explore the inner mechanics of AI coding agents, from context compression to multi-agent orchestration, and learn how to implement them effectively using high-speed APIs.