@ -237,7 +237,7 @@ This feature is perfect for rapid prototyping, complex task decomposition, and c
| **[MixtureOfAgents (MoA)](https://docs.swarms.world/en/latest/swarms/structs/moa/)** | Utilizes multiple expert agents in parallel and synthesizes their outputs. | Complex problem-solving and achieving state-of-the-art performance through collaboration. |
| **[GroupChat](https://docs.swarms.world/en/latest/swarms/structs/group_chat/)** | Agents collaborate and make decisions through a conversational interface. | Real-time collaborative decision-making, negotiations, and brainstorming. |
| **[ForestSwarm](https://docs.swarms.world/en/latest/swarms/structs/forest_swarm/)** | Dynamically selects the most suitable agent or tree of agents for a given task. | Task routing, optimizing for expertise, and complex decision-making trees. |
| **[HierarchicalSwarm](https://docs.swarms.world/en/latest/swarms/structs/hiearchical_swarm/)** | Orchestrates agents with a director who creates plans and distributes tasks to specialized worker agents. | Complex project management, team coordination, and hierarchical decision-making with feedback loops. |
| **[HierarchicalSwarm](https://docs.swarms.world/en/latest/swarms/structs/hierarchical_swarm/)** | Orchestrates agents with a director who creates plans and distributes tasks to specialized worker agents. | Complex project management, team coordination, and hierarchical decision-making with feedback loops. |
| **[HeavySwarm](https://docs.swarms.world/en/latest/swarms/structs/heavy_swarm/)** | Implements a five-phase workflow with specialized agents (Research, Analysis, Alternatives, Verification) for comprehensive task analysis. | Complex research and analysis tasks, financial analysis, strategic planning, and comprehensive reporting. |
| **[SwarmRouter](https://docs.swarms.world/en/latest/swarms/structs/swarm_router/)** | A universal orchestrator that provides a single interface to run any type of swarm with dynamic selection. | Simplifying complex workflows, switching between swarm strategies, and unified multi-agent management. |
from swarms.structs.hiearchical_swarm import HierarchicalSwarm
from swarms.structs.hierarchical_swarm import HierarchicalSwarm
# Create specialized agents
research_agent = Agent(
@ -45395,7 +45395,7 @@ print(out)
# 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.
In traditional swarm theory, there are many types of swarms usually for very specialized use-cases and problem sets. Such as Hierarchical and sequential are great for accounting and sales, because there is usually a boss coordinator agent that distributes a workload to other specialized agents.
@ -55852,7 +55852,7 @@ Use this framework to select the optimal swarm architecture for your use case:
1. **Task Complexity Analysis**
- Simple tasks → `AutoSwarmBuilder`
- Complex tasks → `HiearchicalSwarm` or `MultiAgentRouter`
- Complex tasks → `HierarchicalSwarm` or `MultiAgentRouter`
- Dynamic tasks → `AgentRearrange`
2. **Workflow Pattern**
@ -55870,7 +55870,7 @@ Use this framework to select the optimal swarm architecture for your use case:
=== "Finance"
!!! example "Financial Applications"
- Risk Analysis: `HiearchicalSwarm`
- Risk Analysis: `HierarchicalSwarm`
- Market Research: `MixtureOfAgents`
- Trading Strategies: `ConcurrentWorkflow`
- Portfolio Management: `SpreadSheetSwarm`
@ -55888,7 +55888,7 @@ Use this framework to select the optimal swarm architecture for your use case:
!!! example "Legal Applications"
- Document Review: `SequentialWorkflow`
- Case Analysis: `MixtureOfAgents`
- Compliance Check: `HiearchicalSwarm`
- Compliance Check: `HierarchicalSwarm`
- Contract Analysis: `ConcurrentWorkflow`
## Production Best Practices
@ -57095,15 +57095,15 @@ Key features:
# File: swarms_cloud/hierarchical_swarm.md
# HiearchicalSwarm
# HierarchicalSwarm
*Implements structured, multi-level task management with clear authority*
**Swarm Type**: `HiearchicalSwarm`
**Swarm Type**: `HierarchicalSwarm`
## Overview
The HiearchicalSwarm implements a structured, multi-level approach to task management with clear lines of authority and delegation. This architecture organizes agents in a hierarchical structure where manager agents coordinate and oversee worker agents, enabling efficient task distribution and quality control.
The HierarchicalSwarm implements a structured, multi-level approach to task management with clear lines of authority and delegation. This architecture organizes agents in a hierarchical structure where manager agents coordinate and oversee worker agents, enabling efficient task distribution and quality control.
Key features:
- **Structured Hierarchy**: Clear organizational structure with managers and workers
@ -57120,7 +57120,7 @@ Key features:
## API Usage
### Basic HiearchicalSwarm Example
### Basic HierarchicalSwarm Example
=== "Shell (curl)"
```bash
@ -57130,7 +57130,7 @@ Key features:
-d '{
"name": "Market Research ",
"description": "Parallel market research across different sectors",
"swarm_type": "HiearchicalSwarm",
"swarm_type": "HierarchicalSwarm",
"task": "Research and analyze market opportunities in AI, healthcare, fintech, and e-commerce sectors",
"agents": [
{
@ -57186,7 +57186,7 @@ Key features:
swarm_config = {
"name": "Market Research ",
"description": "Parallel market research across different sectors",
"swarm_type": "HiearchicalSwarm",
"swarm_type": "HierarchicalSwarm",
"task": "Research and analyze market opportunities in AI, healthcare, fintech, and e-commerce sectors",
"What are the most effective methods for filing a patent in the field of AI technology? Please provide a list of user-friendly platforms that facilitate the patent filing process, along with their website links."
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