Category:
Category:
Multi-Agent Systems
Category:
Agentic AI & Orchestration
Definition
Multiple specialized agents collaborating to solve complex tasks.
Explanation
Multi-Agent Systems (MAS) consist of multiple coordinated AI agents, each with defined roles such as planner, researcher, coder, validator, or optimizer. MAS improves reliability, reduces error rates, and allows division of labor similar to human teams. Collaboration can be hierarchical, peer-to-peer, or competitive (self-checking). MAS enhances performance for research pipelines, complex automation, or enterprise decision-making.
Technical Architecture
Planner Agent → Specialist Agents → Aggregator Agent → Verifier → Output
Core Component
Planner agent, specialist agents, communication protocol, shared memory, tool layer
Use Cases
Research workflows, content generation, analytics automation, enterprise copilots
Pitfalls
Coordination failures, runaway loops, conflicting goals, high inference cost
LLM Keywords
Multi-agent Systems, Agent Teams, Collaborative Agents
Related Concepts
Related Frameworks
• Orchestration
• Planning, Memory
• ReAct
• Multi-step workflows
• Multi-Agent Architecture Blueprint