Multi-Agent Articles
Browse 431 articles about Multi-Agent.
AI Agent Frameworks Compared: BMAD, GSD, Hermes, and Building Your Own
BMAD, GSD, and Hermes are popular AI coding frameworks—but most are overengineered. Here's how to evaluate them and when to build your own instead.
How to Build an Agentic Operating System with Claude Code
An agentic OS gives every Claude Code skill shared business context—brand voice, client data, and goals—so every output improves over time.
Salesforce Headless 360 and AI Agents: What It Means for RevOps Automation
Salesforce Headless 360 exposes CRM data via MCP, APIs, and CLI—letting AI agents like Claude act inside Salesforce without a human clicking through the UI.
How to Use Sub-Agents in Claude Code to Manage Context and Speed Up Research
Sub-agents let Claude Code run parallel research tasks without bloating the main context window. Learn how to use them for faster, cleaner AI workflows.
What Is Claude Managed Agents? Anthropic's Infrastructure Layer for AI Teams
Claude Managed Agents lets teams run long-running AI agents without building infrastructure. Here's what it is, how it works, and who should use it.
How to Use AI Agents for Data Migration: Lessons from Real-World Testing
AI agents can handle messy business data migrations—but they need the right guardrails. Learn what works, what fails, and how to validate outputs safely.
How to Build an AI Agent That Runs Overnight: A Practical Guide
Learn how to set up AI agents that work autonomously while you sleep—using parallel sessions, VPS hosting, scheduled tasks, and notification hooks.
How to Build a Multi-Agent AI Workflow Without Writing Code
Multi-agent workflows let AI handle complex, parallel tasks autonomously. Learn how to design and deploy them using no-code platforms like MindStudio.
GPT 5.5 vs Claude Opus 4.7: Which Model Should You Use for Agentic Work?
GPT 5.5 and Claude Opus 4.7 are the top frontier models right now. Here's how they compare on coding, writing, data work, and long-horizon agentic tasks.
How to Reduce Token Usage in AI Agents: 10 MCP Optimization Techniques
MCP servers can burn through your context window fast. These 10 techniques—from code execution to TOON encoding—can cut token usage by up to 98%.
What Is Context Rot in AI Agents? How to Prevent It
Context rot degrades AI agent performance as your conversation grows. Learn what causes it and how to use compacting, clearing, and memory systems to fix it.
What Is GPT 5.5? OpenAI's Agentic Model for Real Work Explained
GPT 5.5 is OpenAI's new model built for complex, multi-step agentic tasks. Learn what makes it different from previous models and when to use it.
What Is MCP (Model Context Protocol)? The Standard for AI Tool Integrations
MCP is the open standard that lets AI agents connect to apps like Notion, Slack, and HubSpot. Here's how it works and why it matters for automation.
Multi-Agent Orchestration: How to Build Agent Teams That Actually Work
Agent teams let multiple AI agents communicate, share tasks, and coordinate in parallel. Learn the architecture patterns that make them reliable in production.
How to Run Parallel AI Coding Agents With Git Worktrees
Run multiple Claude Code sessions simultaneously without conflicts. This guide covers git worktrees, database branching, and port isolation for parallel agents.
How to Build a Self-Improving AI Agent That Learns From Its Own Mistakes
Self-healing agent loops use diagnostic feedback to iterate and improve over time. Here's how to build one using Claude Code and a custom benchmark harness.
How to Build a Multi-Agent Workflow That Runs Without You
Multi-agent systems let specialized agents handle research, coding, and testing in parallel. Here's how to structure one that actually ships work.
What Is Agentic Engineering? The Shift Beyond Vibe Coding
Agentic engineering uses AI agents to plan, build, test, and iterate on software autonomously. Here's what it means and how it differs from vibe coding.
Agentic Operating System File Structure: A Practical Folder Layout
Build an agentic OS with a deliberate folder structure for rules, context, skills, and memory. Here's the file layout and patterns that make it work.
The Best Open-Source LLMs for Agentic Coding in 2026
DeepSeek V4, Kimi K2.6, and Qwen 3.6 are closing the gap on closed-source models. Compare the best open-weight options for agentic coding workflows.