Multi-Agent Articles
Browse 179 articles about Multi-Agent.
7 Things You Must Do Before Deploying a Multi-User AI Agent
From model control to budget limits and eval frameworks, here are the seven production requirements every team needs before shipping an AI agent to real users.
How to Build an AI Dark Factory: Autonomous Code That Ships Itself
A dark factory hands your codebase entirely to AI agents. Learn the architecture, governance layers, and validation patterns needed to make it reliable.
How to Build a Hybrid AI Architecture: Local Models + Cloud Frontier Models
Use frontier models like Claude Opus for complex reasoning and local open-source models for classification, embeddings, and transcription to maximize ROI.
Claude Code Agent Teams: How to Run Multiple AI Agents in Parallel on the Same Project
Claude Code agent teams let frontend, backend, and testing agents collaborate in real time. Learn when to use teams vs sub-agents and how to configure them.
Progressive Disclosure in AI Agents: How to Load Context Without Killing Output Quality
Loading too much context at once causes context rot. Progressive disclosure loads reference files only when needed, keeping Claude focused and outputs sharp.
Claude Code Agent Teams vs Sub-Agents: Which Pattern Should You Use?
Claude Code agent teams let agents communicate directly via a shared task list. Learn when to use teams vs sub-agents and what the token cost difference is.
5 Claude Code Agentic Workflow Patterns: From Sequential to Fully Autonomous
Learn the five agentic patterns in Claude Code—sequential, operator, split-and-merge, agent teams, and headless—and when to use each for your workflows.
What Is the Anthropic Managed Agents Dashboard? How to Monitor Sessions, Vaults, and Costs
Anthropic Managed Agents includes a full dashboard for monitoring sessions, environments, credential vaults, and token costs. Here's what every tab does.
What Is Anthropic's Managed Agents? How to Deploy AI Agents Without Infrastructure
Anthropic Managed Agents handles sandboxing, auth, and tool execution so you can deploy production AI agents without managing your own infrastructure.
What Is Claude Code Agent Teams? How Parallel Agents Share a Task List in Real Time
Claude Code Agent Teams is an experimental feature where multiple agents collaborate via a shared task list, enabling true cross-agent communication.
5 Claude Code Agentic Workflow Patterns: From Sequential to Fully Autonomous
Learn the five agentic workflow patterns in Claude Code—from single-session sequential flow to fully headless autonomous agents running on a schedule.
Claude Code Split-and-Merge Pattern: How Sub-Agents Run in Parallel Within One Session
The split-and-merge pattern lets Claude fan out work to up to 10 sub-agents simultaneously and merge results—all within a single terminal session.
What Is the Agent Discovery Problem? Why AI Agents Need an App Store to Find Each Other
As every business deploys AI agents, agent discovery becomes a massive unsolved problem. Learn what an agent-native app store would look like.
What Is the AI Trading Bot Challenge? How OpenClaw Performed With $10,000 Over 30 Days
Two creators gave OpenClaw $10,000 each to trade stocks for 30 days. Both bots outperformed the S&P 500 during a volatile market. Here's what happened.
Anthropic Managed Agents vs n8n vs Zapier: Which Should You Use in 2026?
Compare Anthropic Managed Agents, n8n, and Zapier for building AI automation workflows. Learn when each tool is the right choice.
What Is the Anthropic OpenClaw Ban? Why Third-Party Harnesses Were Blocked
Anthropic blocked Claude subscriptions from powering third-party tools like OpenClaw. Learn what changed, why it happened, and what to do instead.
How to Build an AI Stock Trading Bot With OpenClaw: Strategy, Setup, and Lessons Learned
Learn how to build an autonomous stock trading agent with OpenClaw, including strategy design, cron job scheduling, and what not to do with options.
What Is Claude Code Agent Teams? How Parallel Agents Share a Task List in Real Time
Claude Code Agent Teams is an experimental feature where multiple agents coordinate through a shared task list. Learn how it works and when to use it.
Claude Code Agentic Workflow Patterns: From Sequential to Fully Autonomous
Learn the five Claude Code workflow patterns—sequential, operator, split-and-merge, agent teams, and headless—and when to use each one.
What Is the Claude Code Builder-Validator Chain? How to Build Quality Checks Into AI Workflows
The builder-validator chain uses one sub-agent to build and another to review, giving you automated quality checks without manual code review.