Multi-Agent Systems

Concept page for systems where multiple LLM-driven agents coordinate, communicate, or compete to solve a task.

This page accumulates findings on:

• Coordination architectures — orchestrator/worker, peer-to-peer, hierarchical, mixture-of-agents.
• Communication protocols — message-passing topologies, prompt-engineered hand-offs, shared scratchpads.
• Specialization — heterogeneous agent pools where each model handles a sub-task it's best at.
• Cross-agent learning — RL signals shared across agents, curriculum design for joint training.
• Failure modes — drift, deadlock, and adversarial dynamics between agents.

Source pages tagged with this concept will accumulate at wiki/agentic-systems/YYYY-MM-DD-<slug>.md and link back here.