Multi-Agent Articles
Browse 597 articles about Multi-Agent.
Why Computer Use Isn't Enough: The 3-Layer Framework Every AI Product Needs
Access, meaning, and authority — most AI products only have the first layer. Here's the full framework for building durable agent products.
Anthropic Managed Agents vs. OpenBrain Open-Source: Did Hermes Ship This First?
OpenBrain shipped Dreaming-like memory and Outcomes-like evals nearly a year before Anthropic. Here's what each approach actually offers.
Anthropic vs. OpenAI on Agent Token Access: Two Opposite Bets on the Same Day
On the same day Anthropic banned subscription tokens in third-party agents, OpenAI made Codex free for all paid users. Here's what each bet means.
Claude Code's Creator Says Anthropic Has Zero Manually Written Code — Here's How They Did It
Boris Churnney, who built Claude Code, says every line at Anthropic is now AI-generated. Here's the multi-agent setup behind that claim.
How to Set Up Claude Dreaming for Persistent Agent Memory: Step-by-Step Guide
Claude's Dreaming feature auto-reviews sessions and pre-loads patterns for future runs. Here's how to configure it for your agent workflows.
Claude Outcomes Feature: How a Grading Agent Improved PowerPoint Quality by 10% Without Changing the Model
Anthropic's Outcomes adds a rubric-based grading agent that re-runs tasks if quality falls short — 10.1% better decks, no model swap.
Code with Claude 2026: 5 New Agent Features Anthropic Just Shipped
Dreaming, Outcomes, multi-agent orchestration, Claude Finance, and Add-ins — here's what each one does and who it's for.
How to Build a Durable AI Agent Workflow That Survives Model Changes
Build agent workflows that outlive any single model or provider. Learn the architecture principles that let you swap models without breaking your system.
Hermes Agent vs. OpenClaw: Why One Builder Switched and What He Gained
One working AI builder retired OpenClaw for Hermes Agent. Here's the side-by-side on setup, crons, and daily workflow — and whether it's worth switching.
How to Build a Multi-Client AI Agent Architecture with Shared Skills
Manage multiple clients in one Claude Code project using context inheritance, per-client brand folders, and shared skill libraries that stay in sync.
Natural Language Harnesses vs Code Harnesses: Which Performs Better for AI Agents?
Tsinghua research shows rewriting agent control logic in natural language boosted performance from 30% to 47% and cut runtime from 361 to 41 minutes.
OpenBrain Memory Provenance for OpenClaw: 4 Labels That Make Agent Recall Trustworthy
OpenBrain's memory provenance system tags every recalled fact as observed, inferred, confirmed, or imported. Here's why that changes agent reliability.
OpenClaw April 2026: 6 Model Providers You Can Now Swap at Runtime Without Rebuilding
OpenClaw's new provider manifest lets you swap GPT-5.5, Claude, Gemini, DeepSeek, Ollama, or Gemma 4 at runtime — no workflow rebuild needed.
How to Build a Durable Incident Response Workflow in OpenClaw in Under an Hour
OpenClaw task flows handle state, revision tracking, and multi-model routing. Here's how to wire up a full incident response loop fast.
OpenClaw's Creator Joined OpenAI — Then OpenAI Made OpenClaw Free. What's the Play?
Peter Steinberger built OpenClaw, then joined OpenAI. Days later, OpenAI made OpenClaw free for all paid users. Here's what that signals.
SAP vs. Salesforce on AI Agents: One Is Blocking Access, One Is Going Headless-First
SAP is blocking agent access to its products. Salesforce is going headless and MCP-open. Here's which bet wins in an agentic world.
The Tool-Agnostic Directory: Why Your AI Project Folder Should Outlive Any Single Tool
OpenClaw, Hermes, Codeex, and Claude Code can all run on the same folder. Here's why building tool-agnostic directories is the key principle.
What Is an Agentic Operating System? 9 Components Every AI Builder Needs
An agentic OS is a context management system that tells AI who you are, how you work, and what matters. Here are the 9 components that make it work.
What Is Context Rot in AI Agents and How Do You Fix It?
Context rot happens when AI forgets earlier session data as context grows. Learn the session hooks, semantic search, and GSD framework that prevent it.
What Is Harness Engineering? Why Your Agent Wrapper Drives More Performance Than the Model
Stanford and Tsinghua research shows the same model produces 6x performance gaps depending on harness design. Here's what harness engineering actually means.