Multi-Agent Orchestration
When and how to run multiple AI agents as a team — Paperclip vs OpenClaw architecture, multi-agent companies, agent role design, when single-agent loops are better.
Claude Code Agent Teams: Build a 5-Page Website with 3 Parallel Sub-Agents Running Simultaneously
Claude Code's agent teams let a manager agent delegate to parallel workers. Here's how to set up a 3-agent team that builds a full site faster than a…
Claude in Microsoft Office Uses Sub-Agents That Talk to Each Other — Anthropic Doesn't Advertise This
Claude's Office integration uses sub-agents that communicate across apps — the Word agent literally talks to the Excel agent.
Build a Multi-Agent OS on Claude Code: 6 Components of a Hive Mind That Runs a Business Autonomously
Shared SQLite memory, mission control kanban, Meta Ads CLI, Telegram interface, agent suggestion system — here's the full architecture.
Kimi K2 Runs 300 Sub-Agents Across 4,000 Steps on 4x H100s — The Story Hermes Found That Everyone Missed
Hermes's content ideation agent surfaced Kimi K2: an open-source system orchestrating 300 sub-agents across 4,000 coordinated steps on 4x H100 GPUs.
Mark Kashef's Claude Code Hive Mind: SQLite + Telegram Multi-Agent Council on Zero Cloud Cost
Mark Kashef's hive mind stores all agent conversations, tasks, and scheduled jobs in a free local SQLite DB with a 3D graph view.
How to Use a Smart Orchestrator Model to Direct Cheaper Sub-Agent Models in Claude Code
Use Claude Opus as an orchestrator to plan and review while DeepSeek or Gemma handle heavy lifting—cutting token costs by 5-10x without losing quality.
AI Model Orchestration: How to Use a Smart Model to Direct Cheaper Sub-Agents
Use a frontier model as orchestrator and cheaper models like DeepSeek for heavy lifting. Learn how to build a cost-efficient multi-model agent pipeline.
Cursor's Research on Running 100 Agents in Parallel: Why Flat Agent Teams Fail Without an Issue Tracker
Cursor found that flat agent organizations develop the same coordination failures as flat human orgs. Issue trackers — claiming, status, blockers — solve both.
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.
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 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.
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.
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 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.
How to Build a Multi-Agent Workflow That Runs Your Business on Autopilot
Multi-agent systems can handle research, content, outreach, and ops simultaneously. Learn the architecture that makes autonomous business workflows work.
Parallel Agentic Development With Git Worktrees: A Practical Playbook
Run multiple Claude Code sessions simultaneously without conflicts. Learn the five-pillar system for parallel agentic development using git worktrees.
What Is Parallel Agentic Development? A Playbook for 10x AI Coding Output
Run multiple Claude Code sessions simultaneously using git worktrees, database branching, and port isolation to ship features in parallel without conflicts.
Parallel Agentic Development: How to Run Multiple Claude Code Sessions at Once
Use Git worktrees, database branching, and isolated environments to run 5+ Claude Code agents in parallel and ship features faster without conflicts.
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.
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.
Claude Code Agent Teams Deep Dive: Parallel Agents and Shared State
A complete look at Claude Code Agent Teams: how parallel agents communicate through shared file state instead of direct messaging, and what that means in practice.
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.
Inside Claude Code's Shared Task List: How Agents Avoid Conflicts
Claude Code's shared task list uses git worktrees and status flags to prevent file conflicts when multiple agents edit a codebase. Here's the mechanic in detail.
How Claude Code Parallel Agents Coordinate Through an Orchestrator
Claude Code's parallel agents use an orchestrator-subagent model to split work across instances. Learn how to enable it and what the token tradeoff looks like.