Multi-agent systems - when to add a second agent, handoff patterns, and practical orchestration.
9 resources - 6 posts, 3 tools

Parallel agents can move faster than one agent, but only when tasks have clean ownership, review receipts, and a merge path that does not turn speed into cleanup work.

AgentKit gives you Agent Builder, Connector Registry, and ChatKit. I rebuilt my newsletter-research agent on it. Here is where the visual canvas wins and where I bailed back to code.

From single-agent baselines to multi-level hierarchies, these are the seven patterns for wiring AI agents together in production. Each with a decision rule, an implementation sketch, and the tradeoffs that actually matter.

How to use Claude Code's Task tool, custom sub-agents, and worktrees to run parallel development workflows. Real prompt examples, agent configurations, and workflow patterns from daily use.

Production-tested patterns for orchestrating AI agent teams - from fan-out parallelism to hierarchical delegation. Covers CrewAI, LangGraph, AutoGen, OpenAI Agents SDK, Google ADK, and custom approaches with real code.

From swarms to pipelines - here are the patterns for coordinating multiple AI agents in TypeScript applications.
Lightweight Python framework for multi-agent systems. Agent handoffs, tool use, guardrails, tracing. Successor to the experimental Swarm project.
AI FrameworksMulti-agent orchestration framework. Define agents with roles, goals, and tools, then assign them tasks in a crew. Python-based. Great for complex workflows.
AI FrameworksMulti-agent orchestration framework built on the OpenAI Agents SDK. Define agent roles, typed tools, and directional communication flows. Production-focused, open-source.
AI Frameworks
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