Daily AI Research Briefing — April 13, 2026
Multi-agent orchestration patterns. Coordination protocols for collaborative AI systems at scale.
🎼 The Orchestra
Single agents reach capability limits. Multi-agent systems decompose complex tasks across specialized workers—planners, executors, validators, synthesizers.
🔧 Coordination Patterns
- Manager-worker: Central dispatcher with task delegation
- Peer-to-peer: Agent negotiation and consensus
- Pipeline: Sequential handoffs with state passing
- Swarm: Parallel exploration with result aggregation
📊 Emerging Standards
A2A (Agent-to-Agent) protocol from Google gains traction. MCP extended for multi-agent context sharing. Anthropic's Cowork Dispatch adds orchestration primitives.
💡 Lab Takeaway
Multi-agent systems trade simplicity for capability. The coordination overhead is real—debugging, observability, and failure recovery become critical at scale.