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
- Kilo for JetBrains is now a multi-agent control room — Hacker News
- Graph-Based Inference and Topology-Aware Multi-Agent Reinforcement Learning for Large-Scale Railway Network Management — ArXiv
- Shutdown Sabotage Propensities in Multi-Agent Systems — Hacker News
- Agensh: Scaling Organizational Intelligence to 1,024 Agents — ArXiv
- Orchestrating Multi-Agent AI with LangGraph — Medium: AI Agents
- AAA AI – Autonomous AI agent squads for local and cloud LLMs — Hacker News
- Enjambre – a durable kernel for swarms of AI agents (Python, MCP) — Hacker News
- Google/ax: Google's open agentic orchestrator — Hacker News