An AI architecture where multiple specialized AI agents collaborate to complete complex tasks. Each agent handles a specific subtask (research, writing, review) and passes results to the next agent in the pipeline.
Multi-agent systems decompose complex goals into subtasks, each handled by a specialized agent. A content pipeline might have: a Research Agent that searches the web, a Writing Agent that drafts from research, a Fact-Checking Agent that verifies claims, and a Publishing Agent that formats and posts.
LangGraph (by LangChain) and n8n's AI Agent nodes are the leading tools for orchestrating multi-agent workflows in production. The key engineering challenges are: agent communication, state management across agents, and handling failures in long-running pipelines.
Open-source framework for building production LLM applications
Anthropic's AI assistant with industry-leading reasoning and safety
Weekly AI tool reviews, news digests, and how-to guides.
Join 12,000+ builders