Multi-Agent Articles
Browse 597 articles about Multi-Agent.
Google DeepMind AI Clinician: What It Means for Healthcare Automation
Google's AI Co-clinician outperformed doctors in 68 of 140 consultation areas. Learn what multimodal medical AI means for healthcare workflows and agents.
How to Build an Agentic Operating System: 9 Components You Need
An agentic OS is just clever context management. Learn the 9 components—identity files, memory, skills, and more—that make AI tools actually work.
Issue Trackers as AI Agent Infrastructure: Why Jira and Linear Are Winning
Issue trackers encode state, ownership, permissions, and history—exactly what AI agents need. Learn why boring enterprise tools are becoming agent substrates.
What Is the Iterative Refinement Loop? How Claude Design Handles Multimodal Feedback
Claude Design uses voice, drawing, DOM selection, and screenshots as input modes—not just chat. Learn how to build multimodal refinement into your own agents.
How to Build Multi-Variation Generation Into Your AI Agent
Instead of one output, have your agent proactively generate multiple variations ranked by decision hierarchy. Here's how to implement it for any domain.
OpenAI's Symphony Spec: How Using Linear as an Agent Control Plane Drove a 500% PR Increase
OpenAI's open-source Symphony spec uses a Linear board to orchestrate autonomous coding agents — and internal teams saw 500% more landed pull requests.
What Is Semantic Memory Search for AI Agents? Tools, Levels, and When to Use Each
Semantic memory search lets agents recall relevant context by meaning, not keyword. Learn the 6 levels of AI memory and which combination fits your use case.
How to Use Skill Systems in Claude Code: Chaining Skills Into Autonomous Pipelines
Skill systems chain modular Claude Code skills into scheduled, multi-step pipelines. Learn how to build content creation, repurposing, and research workflows.
Is Your Tech Stack Agent-Ready? The 5-Question Diagnostic for Evaluating Any Tool as Agent Infrastructure
Not every tool can serve as an agent control plane. Here's the 5-question diagnostic — state machines, ownership, audit history
What Is the Agent Handoff Pattern? How to Design AI Outputs for Downstream Use
The handoff pattern ensures your agent's output can be consumed by other agents or tools. Learn why portable formats like HTML, JSON, and Markdown matter.
What Is the Self-QA Loop? How AI Agents Critique Their Own Output Before You See It
A self-QA loop has an AI agent render, screenshot, and critique its own output before handing it to you. Here's how to implement it in your vertical agent.
What Is Structured Memory in AI Agents? How to Build Persistent Context
Structured memory lets AI agents reuse context across sessions without bloating the window. Learn how to build portable memory artifacts for your agents.
What Is Visual Primitives Reasoning? DeepSeek's Breakthrough for AI Agents
DeepSeek's 'thinking with visual primitives' lets AI agents point to objects during reasoning—solving the reference gap that breaks multimodal tasks.
How to Build an Agent-Native Product: Lessons from OpenClaw, Hermes, and Codex
Agent-native products use outcome-based prompts instead of step-by-step instructions. Learn the design patterns behind the best agentic tools available today.
What Is Agentic Context Grounding? The Pattern Behind Claude Design and Vertical AI Apps
Agentic context grounding reads a source of truth before generating anything. Learn the six patterns behind Claude Design that apply to any vertical AI agent.
What Is an AI Memory System? How to Build Persistent Context for Your Agents
AI models are stateless but your work isn't. Learn how to build a durable memory layer using SQLite, Postgres, embeddings, and MCP servers for your AI agents.
How to Build an AI Orchestrator That Delegates to Cheaper Sub-Agent Models
Use a frontier model as orchestrator and cheaper open-weight models for heavy lifting. This hybrid approach cuts costs while maintaining output quality.
How to Use AI Voice Agents for Customer Support: Low-Latency Models Explained
Low-latency voice models like Grok Voice ThinkFast enable real-time AI phone agents. Learn how to build and deploy voice agents for customer support.
The 7-Model Local AI Portfolio: How to Route Tasks Across Local and Cloud Models for Maximum Performance
One model can't do everything. Here's the 7-model local portfolio — from fast local inference to frontier cloud fallback — and how to route between them.
The 9 Components Every Production Agent Harness Needs (and What Breaks Without Each One)
From while-loops to lifecycle hooks: the exact nine components that separate a toy agent from a production harness, with failure modes for each.