Why Build Agents from Scratch?

• Educational Value: Learn how multi-agent systems function without relying on black-box libraries.

• Customizability: Adapt and extend the system for domain-specific tasks.

• Efficiency: Lightweight design with only essential dependencies.

• Transparency: Understand agent interactions and task flows at a granular level.

Scalability

• Modular Architecture: Easily integrate with existing systems and expand capabilities as needed.

• Distributed Systems: Support for distributed environments, allowing agents to run across multiple nodes, enhancing performance and fault tolerance.

• Load Management: Implement algorithms to balance computational load across agents, optimizing resource utilization and reducing latency.

Use Cases

• Autonomous Vehicle Control: Implement control systems for routing and navigation in dynamic environments.

• Supply Chain Management: Optimize logistics and inventory management using collaborative agents.

• Smart Grid Management: Manage distributed energy resources efficiently through coordinated agent action.