Multi Agent AI Systems

Advanced AI systems where multiple AI agents work together to perform complex tasks.

What is it?

Multi Agent systems use multiple specialized AI agents that collaborate to solve complex tasks. Each agent has a specific role and expertise.

Use Cases

• Research Agents: Multiple agents researching different sources and combining findings
• Content Creation Teams: Agents collaborating on content creation, review and optimization
• Data Analysis Pipelines: Specialized agents for data extraction, analysis and reporting
• Customer Support: Agents handling different aspects of support queries

How it works

We design agent architectures where agents can communicate, divide tasks and combine results. Each agent has access to relevant tools and data.

Technology

• Agent frameworks (LangGraph, AutoGen, custom)
• Inter agent communication and coordination
• Tool use and function calling
• Monitoring and logging for debugging

Result

Powerful AI systems that can tackle complex tasks by deploying specialized agents that work together as a team.