Multi-Agent
Key Guides
Latest Signals
- Multi-Agent Orchestration: The Illusion of Cooperation
- When Single Agents Beat Swarms: The Case Against Multi-Agent Systems
- Fourteen Papers, Three Ways to Break: ICLR 2026's Multi-Agent Failure Playbook
- The Coordination Tax: Why More Agents Don't Mean Better Results
- When Agents Lie to Each Other: Deception in Multi-Agent Systems
Multi-Agent Systems for Supply Chain Optimization
Walmart fulfills 76% of orders from local regions with agent-driven logistics. Maersk saved $300 million. But only 23% of supply chain organizations have a formal AI strategy. Where multi-agent systems are delivering results.
Single Agent vs Multi-Agent: When Swarms Actually Help
Compare single-agent and multi-agent architectures on complexity, cost, debugging, and when orchestration helps.
AI Orchestration Patterns in 2026: What Survives Production
The three orchestration patterns proven in production: sequential pipelines, parallel fan-out, and evaluator-optimizer loops. Trade-offs and kill-switch design.
When to Use Multi-Agent vs Single-Agent Architecture: A Decision Framework
Your task's complexity determines whether multi-agent architecture is a force multiplier or an expensive way to make things worse. Most teams reach for multiple agents too early.
Multi-Agent Systems for DevOps: CI/CD, Incident Response, and Infrastructure Automation
Komodor's Klaudia cut MTTR by 63%. Pulumi Neo dropped provisioning from 3 days to 4 hours. Where multi-agent DevOps is actually working in production.
Single Agent vs Multi-Agent Systems: When Swarms Actually Help
When do multi-agent systems outperform single agents? Benchmark data, cost analysis, and the coordination tax that most teams ignore.
Multi-Agent AI Has a Security Architecture Problem That Better Models Won't Fix
193 documented threats. Agent defection. Reverse SSH tunnels. Why better models won't fix multi-agent AI security — and what actually helps.
Multi-Agent Orchestration: The Illusion of Cooperation
A new benchmark from Tsinghua and Microsoft tests 16 multi-agent frameworks on tasks requiring genuine coordination. The median system spends 74% of its inter-agent messages on redundant state synchronization, and adding a third agent makes most pipelines slower, not faster.
When Single Agents Beat Swarms: The Case Against Multi-Agent Systems
Stanford researchers found LLM teams fail to match their expert agents by up to 37.6%. Independent multi-agent systems amplify errors 17.2 times. The evidence for single agents over swarms is stronger than the industry admits.
Swarm Intelligence Explained: From Ant Colonies to AI Agent Fleets
In 1987, Craig Reynolds published three lines of code that made pixels fly like birds. Swarm intelligence borrows nature's playbook for solving problems that defeat traditional algorithms.