Spaces:
Running
Running
Multi-Agent Orchestration:
Swarms was designed to faciliate the communication between many different and specialized agents from a vast array of other frameworks such as langchain, autogen, crew, and more.
In traditional swarm theory, there are many types of swarms usually for very specialized use-cases and problem sets. Such as Hiearchical and sequential are great for accounting and sales, because there is usually a boss coordinator agent that distributes a workload to other specialized agents.
Name | Description | Code Link | Use Cases |
---|---|---|---|
Hierarchical Swarms | A system where agents are organized in a hierarchy, with higher-level agents coordinating lower-level agents to achieve complex tasks. | Code Link | Manufacturing process optimization, multi-level sales management, healthcare resource coordination |
Agent Rearrange | A setup where agents rearrange themselves dynamically based on the task requirements and environmental conditions. | Code Link | Adaptive manufacturing lines, dynamic sales territory realignment, flexible healthcare staffing |
Concurrent Workflows | Agents perform different tasks simultaneously, coordinating to complete a larger goal. | Code Link | Concurrent production lines, parallel sales operations, simultaneous patient care processes |
Sequential Coordination | Agents perform tasks in a specific sequence, where the completion of one task triggers the start of the next. | Code Link | Step-by-step assembly lines, sequential sales processes, stepwise patient treatment workflows |
Parallel Processing | Agents work on different parts of a task simultaneously to speed up the overall process. | Code Link | Parallel data processing in manufacturing, simultaneous sales analytics, concurrent medical tests |