Multi-Agent Articles
Browse 584 articles about Multi-Agent.
Managing AI Agents by Goals, Not Terminals: The Architecture Shift Every Business Owner Needs
The bottleneck in AI agent workflows isn't the model—it's terminal management. Here's how to abstract one layer higher and manage goals instead.
Agent Tools for Team Leads: Vibe Kanban, Paperclip, Dispatch
If you're managing AI agents as a team lead or business owner, here's how Vibe Kanban, Paperclip, and Claude Code Dispatch compare on visibility and control.
The Lethal Trifecta: Why AI Second Brains Are a Security Risk
Private data access, untrusted content, and exfiltration vectors create the lethal trifecta. Learn how to build a safer AI second brain from scratch.
Claude Code Source Code Leak: What the Unshipped Features Tell Us About Anthropic's Roadmap
Anthropic accidentally leaked Claude Code's source code. The hidden features—AutoDream, Chyros, Ultra Plan, and Coordinator Mode—reveal what's coming next.
What Is the OpenAI Codex Plugin for Claude Code? How Cross-Provider AI Review Works
OpenAI released an official Codex plugin for Claude Code that lets you use one model to write code and another to review it, eliminating sycophancy bias.
What Is the Planner-Generator-Evaluator Pattern? The GAN-Inspired AI Coding Architecture
Inspired by generative adversarial networks, the planner-generator-evaluator pattern uses three agents to build more reliable software than a single agent can.
Build an AI Marketing Company with Paperclip and Claude Code
Spin up a CEO, marketer, designer, and researcher agent team using Paperclip and Claude Code. A practical setup guide with role definitions and task routing.
Why the Heartbeat Pattern Beats Persistent Sessions for AI Agents
Persistent agent sessions are fragile and expensive. Paperclip's heartbeat pattern, drawn from distributed systems, wakes agents on a schedule for reliability.
Paperclip vs OpenClaw: Which Multi-Agent System Should You Use?
Compare Paperclip and OpenClaw for running autonomous AI agent teams. Key differences in architecture, use cases, cost, and deployment complexity.
Agent SDK vs Framework: When to Use Claude Agent SDK vs Pydantic AI for Production
Claude Agent SDK is fast to build but slow and token-heavy at scale. Pydantic AI gives you speed and control. Here's exactly when to use each for your workflow.
What Is Agent Skills as an Open Standard? How Claude, OpenAI, and Google Adopted the Same Format
Agent Skills started as a Claude feature but became an open standard adopted by OpenAI, Google DeepMind, and others. Here's why it matters more than MCP.
Run an AI Engineering Team in Paperclip With Heartbeats
Wire up a CEO, engineer, and QA agent team in Paperclip with heartbeat scheduling so Claude Code keeps building and verifying work autonomously.
Heartbeat Pattern Explained: Keeping Stateless AI Agents Working
LLMs are stateless by default. Paperclip's heartbeat pattern injects fresh context on a schedule so AI agents can run autonomous monitoring and follow-up tasks.
AI Agent Failure Pattern Recognition: The 6 Ways Agents Fail and How to Diagnose Them
Context degradation, specification drift, sycophantic confirmation, tool errors, cascading failure, and silent failure: the 6 agent failure modes explained.
What Is Claude Code iMessage Channel? How to Text Your AI Agent from Your Phone
Claude Code's iMessage channel lets you control your AI agent by text. Learn how to set it up and what it can do for your workflow.
What Is Hermes Agent? The OpenClaw Alternative with a Built-In Learning Loop
Hermes Agent is an open-source AI agent framework that creates skills from experience, improves them during use, and builds a model of you across sessions.
What Is Paperclip? The Open-Source Framework for Running a Zero-Human AI Company
Paperclip is an open-source orchestration system that assigns goals to AI agent teams and tracks their work from a single dashboard. Here's how it works.
Four Types of AI Agents Explained: Coding Harnesses, Dark Factories, Auto Research, and Orchestration
Not all AI agents are the same. Learn the four distinct agent types used in production, when to use each, and why mixing them up leads to failure.
Single-User vs Multi-User AI Agents: Why Architecture Changes Everything at Scale
Building an AI agent for yourself is fundamentally different from deploying one for thousands of users. Here's what breaks and how to architect for scale.
What Is a Dark Factory AI Agent? How to Build Fully Autonomous Software Pipelines
Dark factory agents run spec-to-software with minimal human involvement. Learn how they work, when to use them, and how they differ from coding harnesses.