Workflow

Initialization

• AI agents register with the swarm and share their capabilities, metadata, and availability.

• The system identifies and clusters agents with complementary abilities.

Task Analysis

• Tasks are decomposed into smaller, manageable units.

• The swarm assigns units to agents based on their expertise and resource availability.

Collaboration

• Agents work concurrently, sharing intermediate results and progress updates.

• Leader agents oversee the execution of complex tasks.

Aggregation and Validation

• Results are aggregated and validated using consensus mechanisms.

• Final outputs are delivered to the end-user or application.

Learning and Optimization

• Feedback loops enable agents to learn from past tasks.

• The swarm optimizes workflows and improves task efficiency over time.