Multi-agent orchestration
What is Multi-agent orchestration?
Multi-agent orchestration is the practice of coordinating multiple AI agents that work together on complex tasks, with one agent often supervising or routing work to others.
As AI systems tackle harder problems, the ability to architect and manage interactions between multiple specialized agents is becoming a practical bottleneck—getting it right determines whether these systems actually work reliably in real applications.
References
- Ex-Uber dev explains his Multi-Agent Workflow — YouTube
- From AI Recruitment Tools to Multi-Agent HR Automation — Medium: AI Agents
- Multi-Agent Coach Adversarial Eval. Passed Designed Traps and Basics Failed — Hacker News
- Agent Loop Engineering : A Complete Blog to Production AI Agent Architecture — Part-2 — Medium: AI Agents
- LangGraph #35: Multi-Agent Orchestration with create_agent | LangChain — YouTube
- Top 5 GitHub Today: Multi-Agents LLM Financial Trading Framework — YouTube
- Swarm-forge: A simple tool for coordinating several AI agents — Hacker News
- Two-Tier Parallelism in Multi-Agent LLM Systems — YouTube