diff --git a/README.md b/README.md
index 11241094..56e3b586 100644
--- a/README.md
+++ b/README.md
@@ -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. |
 
diff --git a/docs/examples/index.md b/docs/examples/index.md
index 684e9f15..6407df81 100644
--- a/docs/examples/index.md
+++ b/docs/examples/index.md
@@ -149,9 +149,9 @@ This index organizes **100+ production-ready examples** from our [Swarms Example
 ### Hierarchical and Sequential Workflows
 | Category | Example | Description |
 |----------|---------|-------------|
-| Hierarchical | [Hierarchical Swarm Example](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/hiearchical_swarm/hiearchical_examples/hierarchical_swarm_example.py) | Multi-level hierarchical agent organization |
-| Hierarchical Basic | [Hierarchical Swarm Basic](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/hiearchical_swarm/hiearchical_swarm-example.py) | Simplified hierarchical swarm implementation |
-| Hierarchical Advanced | [Hierarchical Advanced](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/hiearchical_swarm/hierarchical_swarm_example.py) | Advanced hierarchical swarm with complex agent relationships |
+| Hierarchical | [Hierarchical Swarm Example](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/hierarchical_swarm/hierarchical_examples/hierarchical_swarm_example.py) | Multi-level hierarchical agent organization |
+| Hierarchical Basic | [Hierarchical Swarm Basic](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/hierarchical_swarm/hierarchical_swarm-example.py) | Simplified hierarchical swarm implementation |
+| Hierarchical Advanced | [Hierarchical Advanced](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/hierarchical_swarm/hierarchical_swarm_example.py) | Advanced hierarchical swarm with complex agent relationships |
 | Sequential Workflow | [Sequential Workflow Example](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/sequential_workflow/sequential_workflow_example.py) | Linear workflow with agents processing tasks in sequence |
 | Sequential Swarm | [Sequential Swarm Example](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/sequential_workflow/sequential_swarm_example.py) | Sequential swarm with coordinated task execution |
 
diff --git a/docs/examples/marketing_team.md b/docs/examples/marketing_team.md
index 524e961c..b8a8f4fc 100644
--- a/docs/examples/marketing_team.md
+++ b/docs/examples/marketing_team.md
@@ -22,7 +22,7 @@ OPENAI_API_KEY=""
 
 ```python
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 # =============================================================================
 # HEAD OF CONTENT AGENT
diff --git a/docs/llm.txt b/docs/llm.txt
index d6674264..63e122a0 100644
--- a/docs/llm.txt
+++ b/docs/llm.txt
@@ -2493,9 +2493,9 @@ This index organizes **100+ production-ready examples** from our [Swarms Example
 ### Hierarchical and Sequential Workflows
 | Category | Example | Description |
 |----------|---------|-------------|
-| Hierarchical | [Hierarchical Swarm Example](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/hiearchical_swarm/hiearchical_examples/hierarchical_swarm_example.py) | Multi-level hierarchical agent organization |
-| Hierarchical Basic | [Hierarchical Swarm Basic](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/hiearchical_swarm/hiearchical_swarm-example.py) | Simplified hierarchical swarm implementation |
-| Hierarchical Advanced | [Hierarchical Advanced](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/hiearchical_swarm/hierarchical_swarm_example.py) | Advanced hierarchical swarm with complex agent relationships |
+| Hierarchical | [Hierarchical Swarm Example](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/hierarchical_swarm/hierarchical_examples/hierarchical_swarm_example.py) | Multi-level hierarchical agent organization |
+| Hierarchical Basic | [Hierarchical Swarm Basic](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/hierarchical_swarm/hierarchical_swarm-example.py) | Simplified hierarchical swarm implementation |
+| Hierarchical Advanced | [Hierarchical Advanced](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/hierarchical_swarm/hierarchical_swarm_example.py) | Advanced hierarchical swarm with complex agent relationships |
 | Sequential Workflow | [Sequential Workflow Example](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/sequential_workflow/sequential_workflow_example.py) | Linear workflow with agents processing tasks in sequence |
 | Sequential Swarm | [Sequential Swarm Example](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/sequential_workflow/sequential_swarm_example.py) | Sequential swarm with coordinated task execution |
 
@@ -21048,9 +21048,9 @@ dispute_swarm = SwarmRouter(
 )
 
 
-hybrid_hiearchical_swarm = HybridHierarchicalClusterSwarm(
-    name="hybrid-hiearchical-swarm",
-    description="A hybrid hiearchical swarm that uses a hybrid hiearchical peer model to solve complex tasks.",
+hybrid_hierarchical_swarm = HybridHierarchicalClusterSwarm(
+    name="hybrid-hierarchical-swarm",
+    description="A hybrid hierarchical swarm that uses a hybrid hierarchical peer model to solve complex tasks.",
     swarms=[
         litigation_swarm,
         corporate_swarm,
@@ -21065,7 +21065,7 @@ hybrid_hiearchical_swarm = HybridHierarchicalClusterSwarm(
 
 
 if __name__ == "__main__":
-    hybrid_hiearchical_swarm.run(
+    hybrid_hierarchical_swarm.run(
         "What is the best way to file for a patent? for ai technology "
     )
 
@@ -21083,7 +21083,7 @@ This page provides simple, practical examples of how to use the `HierarchicalSwa
 
 ```python
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 # Create specialized financial analysis agents
 market_research_agent = Agent(
@@ -21131,7 +21131,7 @@ print(result)
 
 ```python
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 # Create specialized development agents
 frontend_developer_agent = Agent(
@@ -21179,7 +21179,7 @@ print(result)
 
 ```python
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 # Create analysis agents
 market_agent = Agent(
@@ -21213,7 +21213,7 @@ print("Director Feedback:", feedback)
 
 ```python
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 # Create analysis agents
 market_agent = Agent(
@@ -21253,7 +21253,7 @@ for i, result in enumerate(results):
 
 ```python
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 # Create specialized research agents
 research_manager = Agent(
@@ -38165,7 +38165,7 @@ cron_job.run("Perform analysis")
 
 ### Cron Jobs With Multi-Agent Structures
 
-You can also run Cron Jobs with multi-agent structures like `SequentialWorkflow`, `ConcurrentWorkflow`, `HiearchicalSwarm`, and other methods. 
+You can also run Cron Jobs with multi-agent structures like `SequentialWorkflow`, `ConcurrentWorkflow`, `HierarchicalSwarm`, and other methods. 
 
 - Just initialize the class as the agent parameter in the `CronJob(agent=swarm)`
 
@@ -41343,7 +41343,7 @@ flowchart TD
 ```python
 
 from swarms import Agent, SwarmRouter
-from swarms.structs.hybrid_hiearchical_peer_swarm import (
+from swarms.structs.hybrid_hierarchical_peer_swarm import (
     HybridHierarchicalClusterSwarm,
 )
 
@@ -41441,9 +41441,9 @@ dispute_swarm = SwarmRouter(
 )
 
 
-hybrid_hiearchical_swarm = HybridHierarchicalClusterSwarm(
-    name="hybrid-hiearchical-swarm",
-    description="A hybrid hiearchical swarm that uses a hybrid hiearchical peer model to solve complex tasks.",
+hybrid_hierarchical_swarm = HybridHierarchicalClusterSwarm(
+    name="hybrid-hierarchical-swarm",
+    description="A hybrid hierarchical swarm that uses a hybrid hierarchical peer model to solve complex tasks.",
     swarms=[
         litigation_swarm,
         corporate_swarm,
@@ -41458,7 +41458,7 @@ hybrid_hiearchical_swarm = HybridHierarchicalClusterSwarm(
 
 
 if __name__ == "__main__":
-    hybrid_hiearchical_swarm.run(
+    hybrid_hierarchical_swarm.run(
         "What is the best way to file for a patent? for ai technology "
     )
 
@@ -41736,7 +41736,7 @@ Executes the hierarchical swarm for a specified number of feedback loops, proces
 
 ```python
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 # Create specialized agents
 research_agent = Agent(
@@ -41789,7 +41789,7 @@ Runs a single step of the hierarchical swarm, executing one complete cycle of pl
 
 ```python
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 # Create development agents
 frontend_agent = Agent(
@@ -41842,7 +41842,7 @@ Executes the hierarchical swarm for a list of tasks, processing each task throug
 
 ```python
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 # Create analysis agents
 market_agent = Agent(
@@ -41884,7 +41884,7 @@ for i, result in enumerate(results):
 
 ```python
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 # Create specialized financial agents
 market_research_agent = Agent(
@@ -41932,7 +41932,7 @@ print(result)
 
 ```python
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 # Create specialized development agents
 frontend_developer_agent = Agent(
@@ -42340,7 +42340,7 @@ Hierarchical architectures enable structured, iterative, and scalable problem-so
 
 ```python
 from swarms import Agent
-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.
 
 
 | **Name**                      | **Description**                                                                                                                                                         | **Code Link**               | **Use Cases**                                                                                     |
@@ -48809,7 +48809,7 @@ The `SwarmRouter` supports many various multi-agent architectures for various ap
 | `GroupChat` | Facilitates communication among agents in a group chat format |
 | `MultiAgentRouter` | Routes tasks between multiple agents |
 | `AutoSwarmBuilder` | Automatically builds swarm structure |
-| `HiearchicalSwarm` | Hierarchical organization of agents |
+| `HierarchicalSwarm` | Hierarchical organization of agents |
 | `MajorityVoting` | Uses majority voting for decision making |
 | `MALT` | Multi-Agent Language Tasks |
 | `CouncilAsAJudge` | Council-based judgment system |
@@ -49062,7 +49062,7 @@ hierarchical_router = SwarmRouter(
     description="Hierarchical organization of agents with a director",
     max_loops=3,
     agents=[director, analyst1, analyst2, researcher],
-    swarm_type="HiearchicalSwarm",
+    swarm_type="HierarchicalSwarm",
     return_all_history=True
 )
 
@@ -55782,7 +55782,7 @@ This comprehensive guide outlines production-grade best practices for using the
         | `GroupChat` | Collaborative solving | - Brainstorming<br>- Decision making<br>- Problem solving<br>- Strategy development |
         | `MultiAgentRouter` | Task distribution | - Load balancing<br>- Specialized processing<br>- Resource optimization<br>- Service routing |
         | `AutoSwarmBuilder` | Automated setup | - Quick prototyping<br>- Simple tasks<br>- Testing<br>- MVP development |
-        | `HiearchicalSwarm` | Complex organization | - Project management<br>- Research analysis<br>- Enterprise workflows<br>- Team automation |
+        | `HierarchicalSwarm` | Complex organization | - Project management<br>- Research analysis<br>- Enterprise workflows<br>- Team automation |
         | `MajorityVoting` | Consensus needs | - Quality assurance<br>- Decision validation<br>- Risk assessment<br>- Content moderation |
 
 === "Application Patterns"
@@ -55791,7 +55791,7 @@ This comprehensive guide outlines production-grade best practices for using the
         
         | Application | Recommended Swarm | Benefits |
         |------------|-------------------|-----------|
-        | **Team Automation** | `HiearchicalSwarm` | - Automated team coordination<br>- Clear responsibility chain<br>- Scalable team structure |
+        | **Team Automation** | `HierarchicalSwarm` | - Automated team coordination<br>- Clear responsibility chain<br>- Scalable team structure |
         | **Research Pipeline** | `SequentialWorkflow` | - Structured research process<br>- Quality control at each stage<br>- Comprehensive output |
         | **Trading System** | `ConcurrentWorkflow` | - Multi-market coverage<br>- Real-time analysis<br>- Risk distribution |
         | **Content Factory** | `MixtureOfAgents` | - Automated content creation<br>- Consistent quality<br>- High throughput |
@@ -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",
         "agents": [
             {
@@ -57233,7 +57233,7 @@ Key features:
     
     if response.status_code == 200:
         result = response.json()
-        print("HiearchicalSwarm completed successfully!")
+        print("HierarchicalSwarm completed successfully!")
         print(f"Cost: ${result['metadata']['billing_info']['total_cost']}")
         print(f"Execution time: {result['metadata']['execution_time_seconds']} seconds")
         print(f"Project plan: {result['output']}")
@@ -57248,7 +57248,7 @@ Key features:
     "status": "success",
     "swarm_name": "Market Research Auto",
     "description": "Parallel market research across different sectors",
-    "swarm_type": "HiearchicalSwarm",
+    "swarm_type": "HierarchicalSwarm",
     "output": [
         {
             "role": "System",
@@ -62320,7 +62320,7 @@ Available swarm types for different execution patterns.
 | `GroupChat` | Agents interact in a group chat format |
 | `MultiAgentRouter` | Routes tasks between multiple agents |
 | `AutoSwarmBuilder` | Automatically builds swarm structure |
-| `HiearchicalSwarm` | Hierarchical organization of agents |
+| `HierarchicalSwarm` | Hierarchical organization of agents |
 | `Auto` | Automatically selects the best swarm type |
 | `MajorityVoting` | Agents vote on decisions |
 | `Malt` | Multi-Agent Language Tasks |
@@ -63282,7 +63282,7 @@ The `swarm_type` parameter defines the architecture and collaboration pattern of
 | `GroupChat` | Agents collaborate in a discussion format to solve problems |
 | `MultiAgentRouter` | Routes subtasks to specialized agents based on their capabilities |
 | `AutoSwarmBuilder` | Automatically designs and builds an optimal swarm based on the task |
-| `HiearchicalSwarm` | Organizes agents in a hierarchical structure with managers and workers |
+| `HierarchicalSwarm` | Organizes agents in a hierarchical structure with managers and workers |
 | `MajorityVoting` | Uses a consensus mechanism where multiple agents vote on the best solution |
 | `auto` | Automatically selects the most appropriate swarm type for the given task |
 
diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml
index b5ecb9a4..75365697 100644
--- a/docs/mkdocs.yml
+++ b/docs/mkdocs.yml
@@ -285,7 +285,7 @@ nav:
         - Heavy Swarm: "swarms/structs/heavy_swarm.md"
         - Social Algorithms: "swarms/structs/social_algorithms.md"
 
-        - Hiearchical Architectures:
+        - Hierarchical Architectures:
           - Overview: "swarms/structs/multi_swarm_orchestration.md"
           - HierarchicalSwarm: "swarms/structs/hierarchical_swarm.md"
           - Hierarchical Structured Communication Framework: "swarms/structs/hierarchical_structured_communication_framework.md"
@@ -430,7 +430,7 @@ nav:
     - Applications:
       - Overview: "examples/applications_overview.md"
       - Swarms of Browser Agents: "swarms/examples/swarms_of_browser_agents.md"
-      - Hiearchical Marketing Team: "examples/marketing_team.md"
+      - Hierarchical Marketing Team: "examples/marketing_team.md"
       - Gold ETF Research with HeavySwarm: "examples/gold_etf_research.md"
       - Hiring Swarm: "examples/hiring_swarm.md"
       - Advanced Research: "examples/av.md"
diff --git a/docs/swarms/examples/hhcs_examples.md b/docs/swarms/examples/hhcs_examples.md
index 5c9b789d..5780bed3 100644
--- a/docs/swarms/examples/hhcs_examples.md
+++ b/docs/swarms/examples/hhcs_examples.md
@@ -104,9 +104,9 @@ dispute_swarm = SwarmRouter(
 )
 
 
-hybrid_hiearchical_swarm = HybridHierarchicalClusterSwarm(
-    name="hybrid-hiearchical-swarm",
-    description="A hybrid hiearchical swarm that uses a hybrid hiearchical peer model to solve complex tasks.",
+hybrid_hierarchical_swarm = HybridHierarchicalClusterSwarm(
+    name="hybrid-hierarchical-swarm",
+    description="A hybrid hierarchical swarm that uses a hybrid hierarchical peer model to solve complex tasks.",
     swarms=[
         litigation_swarm,
         corporate_swarm,
@@ -121,7 +121,7 @@ hybrid_hiearchical_swarm = HybridHierarchicalClusterSwarm(
 
 
 if __name__ == "__main__":
-    hybrid_hiearchical_swarm.run(
+    hybrid_hierarchical_swarm.run(
         "What is the best way to file for a patent? for ai technology "
     )
 
diff --git a/docs/swarms/examples/hierarchical_swarm_example.md b/docs/swarms/examples/hierarchical_swarm_example.md
index 1f1b10c9..8efcc384 100644
--- a/docs/swarms/examples/hierarchical_swarm_example.md
+++ b/docs/swarms/examples/hierarchical_swarm_example.md
@@ -6,7 +6,7 @@ This page provides simple, practical examples of how to use the `HierarchicalSwa
 
 ```python
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 # Create specialized financial analysis agents
 market_research_agent = Agent(
@@ -54,7 +54,7 @@ print(result)
 
 ```python
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 # Create specialized development agents
 frontend_developer_agent = Agent(
@@ -102,7 +102,7 @@ print(result)
 
 ```python
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 # Create analysis agents
 market_agent = Agent(
@@ -136,7 +136,7 @@ print("Director Feedback:", feedback)
 
 ```python
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 # Create analysis agents
 market_agent = Agent(
@@ -176,7 +176,7 @@ for i, result in enumerate(results):
 
 ```python
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 # Create specialized research agents
 research_manager = Agent(
@@ -221,7 +221,7 @@ You can visualize the hierarchical structure of your swarm before executing task
 
 ```python
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 # Create specialized agents
 research_agent = Agent(
diff --git a/docs/swarms/examples/swarm_router.md b/docs/swarms/examples/swarm_router.md
index b404bc57..25d0eea1 100644
--- a/docs/swarms/examples/swarm_router.md
+++ b/docs/swarms/examples/swarm_router.md
@@ -158,7 +158,7 @@ router = SwarmRouter(
 | `"GroupChat"` | Enable group chat between agents |
 | `"MultiAgentRouter"` | Route tasks to appropriate agents |
 | `"AutoSwarmBuilder"` | Automatically build swarm configuration |
-| `"HiearchicalSwarm"` | Hierarchical agent organization |
+| `"HierarchicalSwarm"` | Hierarchical agent organization |
 | `"MajorityVoting"` | Use majority voting for decisions |
 | `"MALT"` | Multi-Agent Learning and Training |
 | `"CouncilAsAJudge"` | Council-based evaluation system |
diff --git a/docs/swarms/structs/auto_swarm_builder.md b/docs/swarms/structs/auto_swarm_builder.md
index f278991c..5a659892 100644
--- a/docs/swarms/structs/auto_swarm_builder.md
+++ b/docs/swarms/structs/auto_swarm_builder.md
@@ -276,7 +276,7 @@ The AutoSwarmBuilder supports various multi-agent architecture patterns:
 | **GroupChat**            | Collaborative discussion and consensus-building           |
 | **MultiAgentRouter**     | Intelligent routing and load balancing                    |
 | **AutoSwarmBuilder**     | Self-organizing and self-optimizing teams                 |
-| **HiearchicalSwarm**     | Layered decision-making with management tiers             |
+| **HierarchicalSwarm**     | Layered decision-making with management tiers             |
 | **MajorityVoting**       | Democratic decision-making with voting                    |
 | **MALT**                 | Multi-agent learning and training                         |
 | **CouncilAsAJudge**      | Deliberative decision-making with expert panels           |
diff --git a/docs/swarms/structs/hhcs.md b/docs/swarms/structs/hhcs.md
index 92659580..b2fa2aed 100644
--- a/docs/swarms/structs/hhcs.md
+++ b/docs/swarms/structs/hhcs.md
@@ -101,7 +101,7 @@ flowchart TD
 ```python
 
 from swarms import Agent, SwarmRouter
-from swarms.structs.hybrid_hiearchical_peer_swarm import (
+from swarms.structs.hybrid_hierarchical_peer_swarm import (
     HybridHierarchicalClusterSwarm,
 )
 
@@ -199,9 +199,9 @@ dispute_swarm = SwarmRouter(
 )
 
 
-hybrid_hiearchical_swarm = HybridHierarchicalClusterSwarm(
-    name="hybrid-hiearchical-swarm",
-    description="A hybrid hiearchical swarm that uses a hybrid hiearchical peer model to solve complex tasks.",
+hybrid_hierarchical_swarm = HybridHierarchicalClusterSwarm(
+    name="hybrid-hierarchical-swarm",
+    description="A hybrid hierarchical swarm that uses a hybrid hierarchical peer model to solve complex tasks.",
     swarms=[
         litigation_swarm,
         corporate_swarm,
@@ -216,7 +216,7 @@ hybrid_hiearchical_swarm = HybridHierarchicalClusterSwarm(
 
 
 if __name__ == "__main__":
-    hybrid_hiearchical_swarm.run(
+    hybrid_hierarchical_swarm.run(
         "What is the best way to file for a patent? for ai technology "
     )
 
diff --git a/docs/swarms/structs/hierarchical_swarm.md b/docs/swarms/structs/hierarchical_swarm.md
index fe689e9e..b1203bdd 100644
--- a/docs/swarms/structs/hierarchical_swarm.md
+++ b/docs/swarms/structs/hierarchical_swarm.md
@@ -85,7 +85,7 @@ Displays a visual tree representation of the hierarchical swarm structure, showi
 
 ```python
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 # Create specialized agents
 research_agent = Agent(
@@ -160,7 +160,7 @@ Executes the hierarchical swarm for a specified number of feedback loops, proces
 
 ```python
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 # Create specialized agents
 research_agent = Agent(
@@ -194,7 +194,7 @@ print(result)
 
 ```python
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 def streaming_callback(agent_name: str, chunk: str, is_final: bool):
     """Callback function for real-time streaming of agent outputs."""
@@ -270,7 +270,7 @@ Execute the hierarchical swarm for multiple tasks in sequence. Processes a list
 
 ```python
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 # Create analysis agents
 market_agent = Agent(
@@ -312,7 +312,7 @@ for i, result in enumerate(results):
 
 ```python
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 # Create specialized financial agents
 market_research_agent = Agent(
@@ -360,7 +360,7 @@ print(result)
 
 ```python
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 # Create specialized development agents
 frontend_developer_agent = Agent(
diff --git a/docs/swarms/structs/index.md b/docs/swarms/structs/index.md
index 5604e372..c2317018 100644
--- a/docs/swarms/structs/index.md
+++ b/docs/swarms/structs/index.md
@@ -45,7 +45,7 @@ Hierarchical architectures enable structured, iterative, and scalable problem-so
 
 ```python
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 # Create specialized agents
 research_agent = Agent(
diff --git a/docs/swarms/structs/swarm_router.md b/docs/swarms/structs/swarm_router.md
index 28b7b521..e7730cd4 100644
--- a/docs/swarms/structs/swarm_router.md
+++ b/docs/swarms/structs/swarm_router.md
@@ -117,7 +117,7 @@ The `SwarmRouter` supports many various multi-agent architectures for various ap
 | `GroupChat` | Facilitates communication among agents in a group chat format |
 | `MultiAgentRouter` | Routes tasks between multiple agents |
 | `AutoSwarmBuilder` | Automatically builds swarm structure |
-| `HiearchicalSwarm` | Hierarchical organization of agents |
+| `HierarchicalSwarm` | Hierarchical organization of agents |
 | `MajorityVoting` | Uses majority voting for decision making |
 | `MALT` | Multi-Agent Language Tasks |
 | `CouncilAsAJudge` | Council-based judgment system |
@@ -360,7 +360,7 @@ hierarchical_router = SwarmRouter(
     description="Hierarchical organization of agents with a director",
     max_loops=3,
     agents=[director, analyst1, analyst2, researcher],
-    swarm_type="HiearchicalSwarm",
+    swarm_type="HierarchicalSwarm",
     return_all_history=True
 )
 
diff --git a/examples/README.md b/examples/README.md
index 499b9349..308d0794 100644
--- a/examples/README.md
+++ b/examples/README.md
@@ -85,7 +85,7 @@ This directory contains comprehensive examples demonstrating various capabilitie
 
 - **[guides/](guides/)** - Comprehensive guides and tutorials including demos, generation length blog, geo guesser agent, graph workflow guide, hackathon examples, hierarchical marketing team, nano banana Jarvis agent, smart database, web scraper agents, workshops, x402 examples, and workshop examples (840_update, 850_workshop).
   - [README.md](guides/README.md) - Guides documentation
-  - [hiearchical_marketing_team.py](guides/hiearchical_marketing_team.py) - Hierarchical marketing team example
+  - [hierarchical_marketing_team.py](guides/hierarchical_marketing_team.py) - Hierarchical marketing team example
   - [demos/](guides/demos/) - Various demonstration examples
   - [hackathons/](guides/hackathons/) - Hackathon project examples
   - [workshops/](guides/workshops/) - Workshop examples
@@ -140,7 +140,7 @@ This directory contains comprehensive examples demonstrating various capabilitie
 ### Multi-Agent Patterns
 
 - [Duo Agent](multi_agent/duo_agent.py) - Two-agent collaboration
-- [Hierarchical Swarm](multi_agent/hiearchical_swarm/hierarchical_swarm_example.py) - Hierarchical agent structures
+- [Hierarchical Swarm](multi_agent/hierarchical_swarm/hierarchical_swarm_example.py) - Hierarchical agent structures
 - [Group Chat](multi_agent/groupchat/interactive_groupchat_example.py) - Multi-agent conversations
 - [Graph Workflow](multi_agent/graphworkflow_examples/graph_workflow_example.py) - Graph-based workflows
 - [Social Algorithms](multi_agent/social_algorithms_examples/) - Various social algorithm patterns
diff --git a/examples/guides/README.md b/examples/guides/README.md
index a01158c1..236d078c 100644
--- a/examples/guides/README.md
+++ b/examples/guides/README.md
@@ -20,7 +20,7 @@ This directory contains comprehensive guides and tutorials for using Swarms effe
 - [setup_and_test.py](graphworkflow_guide/setup_and_test.py) - Setup and testing utilities
 
 ## Hierarchical Marketing Team
-- [hiearchical_marketing_team.py](hiearchical_marketing_team.py) - Marketing team hierarchy example
+- [hierarchical_marketing_team.py](hierarchical_marketing_team.py) - Marketing team hierarchy example
 
 ## Nano Banana Jarvis Agent
 - [img_gen_nano_banana.py](nano_banana_jarvis_agent/img_gen_nano_banana.py) - Image generation with Nano Banana
diff --git a/examples/guides/hiearchical_marketing_team.py b/examples/guides/hierarchical_marketing_team.py
similarity index 100%
rename from examples/guides/hiearchical_marketing_team.py
rename to examples/guides/hierarchical_marketing_team.py
diff --git a/examples/multi_agent/README.md b/examples/multi_agent/README.md
index 53fcc202..35e9336d 100644
--- a/examples/multi_agent/README.md
+++ b/examples/multi_agent/README.md
@@ -87,19 +87,19 @@ This directory contains comprehensive examples demonstrating various multi-agent
 - [medical_heavy_swarm_example.py](heavy_swarm_examples/medical_heavy_swarm_example.py) - Medical heavy swarm
 
 ## Hierarchical Swarm
-- [hierarchical_swarm_basic_demo.py](hiearchical_swarm/hierarchical_swarm_basic_demo.py) - Basic hierarchical demo
-- [hierarchical_swarm_batch_demo.py](hiearchical_swarm/hierarchical_swarm_batch_demo.py) - Batch processing demo
-- [hierarchical_swarm_comparison_demo.py](hiearchical_swarm/hierarchical_swarm_comparison_demo.py) - Comparison demo
-- [hierarchical_swarm_example.py](hiearchical_swarm/hierarchical_swarm_example.py) - Main hierarchical example
-- [hierarchical_swarm_streaming_demo.py](hiearchical_swarm/hierarchical_swarm_streaming_demo.py) - Streaming demo
-- [hierarchical_swarm_streaming_example.py](hiearchical_swarm/hierarchical_swarm_streaming_example.py) - Streaming example
-- [hs_interactive.py](hiearchical_swarm/hs_interactive.py) - Interactive hierarchical swarm
-- [hs_stock_team.py](hiearchical_swarm/hs_stock_team.py) - Stock trading team
-- [hybrid_hiearchical_swarm.py](hiearchical_swarm/hybrid_hiearchical_swarm.py) - Hybrid approach
-- [sector_analysis_hiearchical_swarm.py](hiearchical_swarm/sector_analysis_hiearchical_swarm.py) - Sector analysis
-- [hiearchical_examples/](hiearchical_swarm/hiearchical_examples/) - Additional hierarchical examples
-- [hiearchical_swarm_ui/](hiearchical_swarm/hiearchical_swarm_ui/) - UI components
-- [hscf/](hiearchical_swarm/hscf/) - Hierarchical framework examples
+- [hierarchical_swarm_basic_demo.py](hierarchical_swarm/hierarchical_swarm_basic_demo.py) - Basic hierarchical demo
+- [hierarchical_swarm_batch_demo.py](hierarchical_swarm/hierarchical_swarm_batch_demo.py) - Batch processing demo
+- [hierarchical_swarm_comparison_demo.py](hierarchical_swarm/hierarchical_swarm_comparison_demo.py) - Comparison demo
+- [hierarchical_swarm_example.py](hierarchical_swarm/hierarchical_swarm_example.py) - Main hierarchical example
+- [hierarchical_swarm_streaming_demo.py](hierarchical_swarm/hierarchical_swarm_streaming_demo.py) - Streaming demo
+- [hierarchical_swarm_streaming_example.py](hierarchical_swarm/hierarchical_swarm_streaming_example.py) - Streaming example
+- [hs_interactive.py](hierarchical_swarm/hs_interactive.py) - Interactive hierarchical swarm
+- [hs_stock_team.py](hierarchical_swarm/hs_stock_team.py) - Stock trading team
+- [hybrid_hierarchical_swarm.py](hierarchical_swarm/hybrid_hierarchical_swarm.py) - Hybrid approach
+- [sector_analysis_hierarchical_swarm.py](hierarchical_swarm/sector_analysis_hierarchical_swarm.py) - Sector analysis
+- [hierarchical_examples/](hierarchical_swarm/hierarchical_examples/) - Additional hierarchical examples
+- [hierarchical_swarm_ui/](hierarchical_swarm/hierarchical_swarm_ui/) - UI components
+- [hscf/](hierarchical_swarm/hscf/) - Hierarchical framework examples
 
 ## Interactive Group Chat
 - [interactive_groupchat_speaker_example.py](interactive_groupchat_examples/interactive_groupchat_speaker_example.py) - Speaker management
diff --git a/examples/multi_agent/hiearchical_swarm/README.md b/examples/multi_agent/hierarchical_swarm/README.md
similarity index 78%
rename from examples/multi_agent/hiearchical_swarm/README.md
rename to examples/multi_agent/hierarchical_swarm/README.md
index 3ff9c1da..dd629d12 100644
--- a/examples/multi_agent/hiearchical_swarm/README.md
+++ b/examples/multi_agent/hierarchical_swarm/README.md
@@ -12,14 +12,14 @@ This directory contains examples demonstrating hierarchical swarm patterns for m
 - [hierarchical_swarm_streaming_example.py](hierarchical_swarm_streaming_example.py) - Streaming example
 - [hs_interactive.py](hs_interactive.py) - Interactive hierarchical swarm
 - [hs_stock_team.py](hs_stock_team.py) - Stock trading team
-- [hybrid_hiearchical_swarm.py](hybrid_hiearchical_swarm.py) - Hybrid approach
-- [sector_analysis_hiearchical_swarm.py](sector_analysis_hiearchical_swarm.py) - Sector analysis
+- [hybrid_hierarchical_swarm.py](hybrid_hierarchical_swarm.py) - Hybrid approach
+- [sector_analysis_hierarchical_swarm.py](sector_analysis_hierarchical_swarm.py) - Sector analysis
 - [display_hierarchy_example.py](display_hierarchy_example.py) - Visualize swarm hierarchy structure
 
 ## Subdirectories
 
-- [hiearchical_examples/](hiearchical_examples/) - Additional hierarchical examples
-- [hiearchical_swarm_ui/](hiearchical_swarm_ui/) - UI components for hierarchical swarms
+- [hierarchical_examples/](hierarchical_examples/) - Additional hierarchical examples
+- [hierarchical_swarm_ui/](hierarchical_swarm_ui/) - UI components for hierarchical swarms
 
 ## Overview
 
diff --git a/examples/multi_agent/hiearchical_swarm/display_hierarchy_example.py b/examples/multi_agent/hierarchical_swarm/display_hierarchy_example.py
similarity index 100%
rename from examples/multi_agent/hiearchical_swarm/display_hierarchy_example.py
rename to examples/multi_agent/hierarchical_swarm/display_hierarchy_example.py
diff --git a/examples/multi_agent/hiearchical_swarm/hiearchical_examples/advanced_hierarchical_swarm_examples.py b/examples/multi_agent/hierarchical_swarm/hierarchical_examples/advanced_hierarchical_swarm_examples.py
similarity index 99%
rename from examples/multi_agent/hiearchical_swarm/hiearchical_examples/advanced_hierarchical_swarm_examples.py
rename to examples/multi_agent/hierarchical_swarm/hierarchical_examples/advanced_hierarchical_swarm_examples.py
index 036adeb0..71183599 100644
--- a/examples/multi_agent/hiearchical_swarm/hiearchical_examples/advanced_hierarchical_swarm_examples.py
+++ b/examples/multi_agent/hierarchical_swarm/hierarchical_examples/advanced_hierarchical_swarm_examples.py
@@ -1,5 +1,5 @@
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 
 # Example 1: Medical Diagnosis Hierarchical Swarm
diff --git a/examples/multi_agent/hiearchical_swarm/hiearchical_examples/hierarchical_swarm_example.py b/examples/multi_agent/hierarchical_swarm/hierarchical_examples/hierarchical_swarm_example.py
similarity index 99%
rename from examples/multi_agent/hiearchical_swarm/hiearchical_examples/hierarchical_swarm_example.py
rename to examples/multi_agent/hierarchical_swarm/hierarchical_examples/hierarchical_swarm_example.py
index b545561f..008878f4 100644
--- a/examples/multi_agent/hiearchical_swarm/hiearchical_examples/hierarchical_swarm_example.py
+++ b/examples/multi_agent/hierarchical_swarm/hierarchical_examples/hierarchical_swarm_example.py
@@ -1,5 +1,5 @@
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 # Initialize specialized financial analysis agents
 market_research_agent = Agent(
diff --git a/examples/multi_agent/hiearchical_swarm/hiearchical_examples/hiearchical_swarm_test.py b/examples/multi_agent/hierarchical_swarm/hierarchical_examples/hierarchical_swarm_test.py
similarity index 99%
rename from examples/multi_agent/hiearchical_swarm/hiearchical_examples/hiearchical_swarm_test.py
rename to examples/multi_agent/hierarchical_swarm/hierarchical_examples/hierarchical_swarm_test.py
index dc9a60ab..4a08ccc9 100644
--- a/examples/multi_agent/hiearchical_swarm/hiearchical_examples/hiearchical_swarm_test.py
+++ b/examples/multi_agent/hierarchical_swarm/hierarchical_examples/hierarchical_swarm_test.py
@@ -1,5 +1,5 @@
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 # Initialize specialized development department agents
 
diff --git a/examples/multi_agent/hiearchical_swarm/hierarchical_swarm_basic_demo.py b/examples/multi_agent/hierarchical_swarm/hierarchical_swarm_basic_demo.py
similarity index 95%
rename from examples/multi_agent/hiearchical_swarm/hierarchical_swarm_basic_demo.py
rename to examples/multi_agent/hierarchical_swarm/hierarchical_swarm_basic_demo.py
index a0738b5d..1dfe554a 100644
--- a/examples/multi_agent/hiearchical_swarm/hierarchical_swarm_basic_demo.py
+++ b/examples/multi_agent/hierarchical_swarm/hierarchical_swarm_basic_demo.py
@@ -5,7 +5,7 @@ Basic Hierarchical Swarm Streaming Demo
 Minimal example showing the core streaming callback functionality.
 """
 
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 from swarms.agents import Agent
 
 
diff --git a/examples/multi_agent/hiearchical_swarm/hierarchical_swarm_batch_demo.py b/examples/multi_agent/hierarchical_swarm/hierarchical_swarm_batch_demo.py
similarity index 98%
rename from examples/multi_agent/hiearchical_swarm/hierarchical_swarm_batch_demo.py
rename to examples/multi_agent/hierarchical_swarm/hierarchical_swarm_batch_demo.py
index badb2375..71d34778 100644
--- a/examples/multi_agent/hiearchical_swarm/hierarchical_swarm_batch_demo.py
+++ b/examples/multi_agent/hierarchical_swarm/hierarchical_swarm_batch_demo.py
@@ -8,7 +8,7 @@ to handle multiple tasks sequentially with real-time feedback.
 
 import time
 from typing import Callable
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 from swarms.agents import Agent
 
 
diff --git a/examples/multi_agent/hiearchical_swarm/hierarchical_swarm_comparison_demo.py b/examples/multi_agent/hierarchical_swarm/hierarchical_swarm_comparison_demo.py
similarity index 98%
rename from examples/multi_agent/hiearchical_swarm/hierarchical_swarm_comparison_demo.py
rename to examples/multi_agent/hierarchical_swarm/hierarchical_swarm_comparison_demo.py
index 4fa68631..e5238d49 100644
--- a/examples/multi_agent/hiearchical_swarm/hierarchical_swarm_comparison_demo.py
+++ b/examples/multi_agent/hierarchical_swarm/hierarchical_swarm_comparison_demo.py
@@ -1,4 +1,4 @@
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 from swarms.agents import Agent
 
 
diff --git a/examples/multi_agent/hiearchical_swarm/hierarchical_swarm_example.py b/examples/multi_agent/hierarchical_swarm/hierarchical_swarm_example.py
similarity index 99%
rename from examples/multi_agent/hiearchical_swarm/hierarchical_swarm_example.py
rename to examples/multi_agent/hierarchical_swarm/hierarchical_swarm_example.py
index 6a045943..48820c15 100644
--- a/examples/multi_agent/hiearchical_swarm/hierarchical_swarm_example.py
+++ b/examples/multi_agent/hierarchical_swarm/hierarchical_swarm_example.py
@@ -2,7 +2,7 @@ from dotenv import load_dotenv
 
 # Swarm imports
 from swarms.structs.agent import Agent
-from swarms.structs.hiearchical_swarm import (
+from swarms.structs.hierarchical_swarm import (
     HierarchicalSwarm,
     SwarmSpec,
 )
diff --git a/examples/multi_agent/hiearchical_swarm/hierarchical_swarm_streaming_demo.py b/examples/multi_agent/hierarchical_swarm/hierarchical_swarm_streaming_demo.py
similarity index 98%
rename from examples/multi_agent/hiearchical_swarm/hierarchical_swarm_streaming_demo.py
rename to examples/multi_agent/hierarchical_swarm/hierarchical_swarm_streaming_demo.py
index fa65fd60..f55a9cf9 100644
--- a/examples/multi_agent/hiearchical_swarm/hierarchical_swarm_streaming_demo.py
+++ b/examples/multi_agent/hierarchical_swarm/hierarchical_swarm_streaming_demo.py
@@ -1,6 +1,6 @@
 import time
 from typing import Callable
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 from swarms import Agent
 
 
diff --git a/examples/multi_agent/hiearchical_swarm/hierarchical_swarm_streaming_example.py b/examples/multi_agent/hierarchical_swarm/hierarchical_swarm_streaming_example.py
similarity index 99%
rename from examples/multi_agent/hiearchical_swarm/hierarchical_swarm_streaming_example.py
rename to examples/multi_agent/hierarchical_swarm/hierarchical_swarm_streaming_example.py
index 2dcd941d..76ec6cb3 100644
--- a/examples/multi_agent/hiearchical_swarm/hierarchical_swarm_streaming_example.py
+++ b/examples/multi_agent/hierarchical_swarm/hierarchical_swarm_streaming_example.py
@@ -15,7 +15,7 @@ The streaming callback allows you to:
 import time
 
 from swarms.structs.agent import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 
 def streaming_callback(agent_name: str, chunk: str, is_final: bool):
diff --git a/examples/multi_agent/hiearchical_swarm/hiearchical_swarm_ui/debug_dashboard.py b/examples/multi_agent/hierarchical_swarm/hierarchical_swarm_ui/debug_dashboard.py
similarity index 96%
rename from examples/multi_agent/hiearchical_swarm/hiearchical_swarm_ui/debug_dashboard.py
rename to examples/multi_agent/hierarchical_swarm/hierarchical_swarm_ui/debug_dashboard.py
index d3f3f389..1f3bc5b2 100644
--- a/examples/multi_agent/hiearchical_swarm/hiearchical_swarm_ui/debug_dashboard.py
+++ b/examples/multi_agent/hierarchical_swarm/hierarchical_swarm_ui/debug_dashboard.py
@@ -2,7 +2,7 @@
 Debug script for the Arasaka Dashboard to test agent output display.
 """
 
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 from swarms.structs.agent import Agent
 
 
diff --git a/examples/multi_agent/hiearchical_swarm/hiearchical_swarm_ui/test_dashboard.py b/examples/multi_agent/hierarchical_swarm/hierarchical_swarm_ui/test_dashboard.py
similarity index 95%
rename from examples/multi_agent/hiearchical_swarm/hiearchical_swarm_ui/test_dashboard.py
rename to examples/multi_agent/hierarchical_swarm/hierarchical_swarm_ui/test_dashboard.py
index 433f0e14..bd999b2c 100644
--- a/examples/multi_agent/hiearchical_swarm/hiearchical_swarm_ui/test_dashboard.py
+++ b/examples/multi_agent/hierarchical_swarm/hierarchical_swarm_ui/test_dashboard.py
@@ -2,7 +2,7 @@
 Test script for the Arasaka Dashboard functionality.
 """
 
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 from swarms.structs.agent import Agent
 
 
diff --git a/examples/multi_agent/hiearchical_swarm/hiearchical_swarm_ui/test_full_output.py b/examples/multi_agent/hierarchical_swarm/hierarchical_swarm_ui/test_full_output.py
similarity index 96%
rename from examples/multi_agent/hiearchical_swarm/hiearchical_swarm_ui/test_full_output.py
rename to examples/multi_agent/hierarchical_swarm/hierarchical_swarm_ui/test_full_output.py
index a281b7dc..0abe2759 100644
--- a/examples/multi_agent/hiearchical_swarm/hiearchical_swarm_ui/test_full_output.py
+++ b/examples/multi_agent/hierarchical_swarm/hierarchical_swarm_ui/test_full_output.py
@@ -2,7 +2,7 @@
 Test script for full agent output display in the Arasaka Dashboard.
 """
 
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 from swarms.structs.agent import Agent
 
 
diff --git a/examples/multi_agent/hiearchical_swarm/hiearchical_swarm_ui/test_multi_loop.py b/examples/multi_agent/hierarchical_swarm/hierarchical_swarm_ui/test_multi_loop.py
similarity index 96%
rename from examples/multi_agent/hiearchical_swarm/hiearchical_swarm_ui/test_multi_loop.py
rename to examples/multi_agent/hierarchical_swarm/hierarchical_swarm_ui/test_multi_loop.py
index 045ef86e..bf4d9c0e 100644
--- a/examples/multi_agent/hiearchical_swarm/hiearchical_swarm_ui/test_multi_loop.py
+++ b/examples/multi_agent/hierarchical_swarm/hierarchical_swarm_ui/test_multi_loop.py
@@ -2,7 +2,7 @@
 Test script for multi-loop agent tracking in the Arasaka Dashboard.
 """
 
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 from swarms.structs.agent import Agent
 
 
diff --git a/examples/multi_agent/hiearchical_swarm/hs_interactive.py b/examples/multi_agent/hierarchical_swarm/hs_interactive.py
similarity index 100%
rename from examples/multi_agent/hiearchical_swarm/hs_interactive.py
rename to examples/multi_agent/hierarchical_swarm/hs_interactive.py
diff --git a/examples/multi_agent/hiearchical_swarm/hs_stock_team.py b/examples/multi_agent/hierarchical_swarm/hs_stock_team.py
similarity index 99%
rename from examples/multi_agent/hiearchical_swarm/hs_stock_team.py
rename to examples/multi_agent/hierarchical_swarm/hs_stock_team.py
index e6f0a9a3..d258eb2b 100644
--- a/examples/multi_agent/hiearchical_swarm/hs_stock_team.py
+++ b/examples/multi_agent/hierarchical_swarm/hs_stock_team.py
@@ -2,7 +2,7 @@ from dotenv import load_dotenv
 
 # Swarm imports
 from swarms.structs.agent import Agent
-from swarms.structs.hiearchical_swarm import (
+from swarms.structs.hierarchical_swarm import (
     HierarchicalSwarm,
     SwarmSpec,
 )
diff --git a/examples/multi_agent/hiearchical_swarm/hybrid_hiearchical_swarm.py b/examples/multi_agent/hierarchical_swarm/hybrid_hierarchical_swarm.py
similarity index 91%
rename from examples/multi_agent/hiearchical_swarm/hybrid_hiearchical_swarm.py
rename to examples/multi_agent/hierarchical_swarm/hybrid_hierarchical_swarm.py
index 63cadad4..96af7a19 100644
--- a/examples/multi_agent/hiearchical_swarm/hybrid_hiearchical_swarm.py
+++ b/examples/multi_agent/hierarchical_swarm/hybrid_hierarchical_swarm.py
@@ -1,5 +1,5 @@
 from swarms import Agent, SwarmRouter
-from swarms.structs.hybrid_hiearchical_peer_swarm import (
+from swarms.structs.hybrid_hierarchical_peer_swarm import (
     HybridHierarchicalClusterSwarm,
 )
 
@@ -103,9 +103,9 @@ dispute_swarm = SwarmRouter(
 )
 
 
-hybrid_hiearchical_swarm = HybridHierarchicalClusterSwarm(
-    name="hybrid-hiearchical-swarm",
-    description="A hybrid hiearchical swarm that uses a hybrid hiearchical peer model to solve complex tasks.",
+hybrid_hierarchical_swarm = HybridHierarchicalClusterSwarm(
+    name="hybrid-hierarchical-swarm",
+    description="A hybrid hierarchical swarm that uses a hybrid hierarchical peer model to solve complex tasks.",
     swarms=[
         litigation_swarm,
         corporate_swarm,
@@ -120,6 +120,6 @@ hybrid_hiearchical_swarm = HybridHierarchicalClusterSwarm(
 
 
 if __name__ == "__main__":
-    hybrid_hiearchical_swarm.run(
+    hybrid_hierarchical_swarm.run(
         "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."
     )
diff --git a/examples/multi_agent/hiearchical_swarm/sector_analysis_hiearchical_swarm.py b/examples/multi_agent/hierarchical_swarm/sector_analysis_hierarchical_swarm.py
similarity index 96%
rename from examples/multi_agent/hiearchical_swarm/sector_analysis_hiearchical_swarm.py
rename to examples/multi_agent/hierarchical_swarm/sector_analysis_hierarchical_swarm.py
index 6707c248..53b388f7 100644
--- a/examples/multi_agent/hiearchical_swarm/sector_analysis_hiearchical_swarm.py
+++ b/examples/multi_agent/hierarchical_swarm/sector_analysis_hierarchical_swarm.py
@@ -33,7 +33,7 @@ agents = [
 ]
 
 # Create hierarchical swarm system
-hiearchical_swarm = HierarchicalSwarm(
+hierarchical_swarm = HierarchicalSwarm(
     name="Sector-Investment-Advisory-System",
     description="System for sector analysis and optimal allocations.",
     agents=agents,
@@ -43,7 +43,7 @@ hiearchical_swarm = HierarchicalSwarm(
 )
 
 
-result = hiearchical_swarm.run(
+result = hierarchical_swarm.run(
     task=(
         "Simulate the allocation of a $50B fund specifically for the pharmaceutical sector. "
         "Provide specific tickers (e.g., PFE, MRK, JNJ, LLY, BMY, etc.) and a clear rationale for why funds should be allocated to each company. "
diff --git a/examples/swarms_api/hospital_team.py b/examples/swarms_api/hospital_team.py
index a57473c9..2845e6fe 100644
--- a/examples/swarms_api/hospital_team.py
+++ b/examples/swarms_api/hospital_team.py
@@ -24,7 +24,7 @@ def create_medical_unit_swarm(client, patient_info):
     return client.swarms.run(
         name="Hospital Medical Unit",
         description="A simulated hospital unit with a doctor (leader), nurses, and a medical assistant collaborating on patient care.",
-        swarm_type="HiearchicalSwarm",
+        swarm_type="HierarchicalSwarm",
         task=patient_info,
         agents=[
             {
diff --git a/hiearchical_swarm_example.py b/hierarchical_swarm_example.py
similarity index 100%
rename from hiearchical_swarm_example.py
rename to hierarchical_swarm_example.py
diff --git a/swarms/prompts/hiearchical_system_prompt.py b/swarms/prompts/hierarchical_system_prompt.py
similarity index 99%
rename from swarms/prompts/hiearchical_system_prompt.py
rename to swarms/prompts/hierarchical_system_prompt.py
index 1b1507ae..6fa62114 100644
--- a/swarms/prompts/hiearchical_system_prompt.py
+++ b/swarms/prompts/hierarchical_system_prompt.py
@@ -1,4 +1,4 @@
-HIEARCHICAL_SWARM_SYSTEM_PROMPT = """
+HIERARCHICAL_SWARM_SYSTEM_PROMPT = """
 
 **SYSTEM PROMPT: HIERARCHICAL AGENT DIRECTOR**
 
diff --git a/swarms/schemas/swarms_api_schemas.py b/swarms/schemas/swarms_api_schemas.py
index f1370dce..20659167 100644
--- a/swarms/schemas/swarms_api_schemas.py
+++ b/swarms/schemas/swarms_api_schemas.py
@@ -10,7 +10,7 @@ SwarmType = Literal[
     "GroupChat",
     "MultiAgentRouter",
     "AutoSwarmBuilder",
-    "HiearchicalSwarm",
+    "HierarchicalSwarm",
     "auto",
     "MajorityVoting",
     "MALT",
diff --git a/swarms/structs/__init__.py b/swarms/structs/__init__.py
index 18f46c5c..8bfbc5c2 100644
--- a/swarms/structs/__init__.py
+++ b/swarms/structs/__init__.py
@@ -23,8 +23,8 @@ from swarms.structs.groupchat import (
     expertise_based,
 )
 from swarms.structs.heavy_swarm import HeavySwarm
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
-from swarms.structs.hybrid_hiearchical_peer_swarm import (
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
+from swarms.structs.hybrid_hierarchical_peer_swarm import (
     HybridHierarchicalClusterSwarm,
 )
 from swarms.structs.interactive_groupchat import (
diff --git a/swarms/structs/auto_swarm_builder.py b/swarms/structs/auto_swarm_builder.py
index 08c75164..c780f128 100644
--- a/swarms/structs/auto_swarm_builder.py
+++ b/swarms/structs/auto_swarm_builder.py
@@ -87,7 +87,7 @@ Choose the most appropriate architecture based on task requirements:
 - **GroupChat**: Collaborative discussion and consensus-building approach
 - **MultiAgentRouter**: Intelligent routing and load balancing across agents
 - **AutoSwarmBuilder**: Self-organizing and self-optimizing agent teams
-- **HiearchicalSwarm**: Layered decision-making with management and execution tiers
+- **HierarchicalSwarm**: Layered decision-making with management and execution tiers
 - **MajorityVoting**: Democratic decision-making with voting mechanisms
 - **MALT**: Multi-agent learning and training with knowledge sharing
 - **CouncilAsAJudge**: Deliberative decision-making with expert panels
diff --git a/swarms/structs/hiearchical_swarm.py b/swarms/structs/hierarchical_swarm.py
similarity index 99%
rename from swarms/structs/hiearchical_swarm.py
rename to swarms/structs/hierarchical_swarm.py
index 407b7d58..10f5ac0e 100644
--- a/swarms/structs/hiearchical_swarm.py
+++ b/swarms/structs/hierarchical_swarm.py
@@ -36,9 +36,9 @@ from rich.table import Table
 from rich.text import Text
 from rich.tree import Tree
 
-from swarms.prompts.hiearchical_system_prompt import (
+from swarms.prompts.hierarchical_system_prompt import (
     DIRECTOR_PLANNING_PROMPT,
-    HIEARCHICAL_SWARM_SYSTEM_PROMPT,
+    HIERARCHICAL_SWARM_SYSTEM_PROMPT,
 )
 from swarms.prompts.multi_agent_collab_prompt import (
     MULTI_AGENT_COLLAB_PROMPT_TWO,
@@ -667,7 +667,7 @@ class HierarchicalSwarm:
         add_collaboration_prompt: bool = True,
         director_feedback_on: bool = True,
         interactive: bool = False,
-        director_system_prompt: str = HIEARCHICAL_SWARM_SYSTEM_PROMPT,
+        director_system_prompt: str = HIERARCHICAL_SWARM_SYSTEM_PROMPT,
         multi_agent_prompt_improvements: bool = False,
         director_temperature: float = 0.7,
         director_top_p: float = 0.9,
@@ -1279,7 +1279,7 @@ class HierarchicalSwarm:
                 agent_description="Director module that provides feedback to the worker agents",
                 model_name=self.director_model_name,
                 max_loops=1,
-                system_prompt=HIEARCHICAL_SWARM_SYSTEM_PROMPT,
+                system_prompt=HIERARCHICAL_SWARM_SYSTEM_PROMPT,
             )
 
             output = feedback_director.run(
diff --git a/swarms/structs/hybrid_hiearchical_peer_swarm.py b/swarms/structs/hybrid_hierarchical_peer_swarm.py
similarity index 100%
rename from swarms/structs/hybrid_hiearchical_peer_swarm.py
rename to swarms/structs/hybrid_hierarchical_peer_swarm.py
diff --git a/swarms/structs/swarm_router.py b/swarms/structs/swarm_router.py
index 27f70bd6..c86c2d0b 100644
--- a/swarms/structs/swarm_router.py
+++ b/swarms/structs/swarm_router.py
@@ -26,7 +26,7 @@ from swarms.structs.council_as_judge import CouncilAsAJudge
 from swarms.structs.debate_with_judge import DebateWithJudge
 from swarms.structs.groupchat import GroupChat
 from swarms.structs.heavy_swarm import HeavySwarm
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 from swarms.structs.interactive_groupchat import InteractiveGroupChat
 from swarms.structs.ma_utils import list_all_agents
 from swarms.structs.majority_voting import MajorityVoting
diff --git a/tests/structs/test_hierarchical_swarm.py b/tests/structs/test_hierarchical_swarm.py
index 9e1fcf69..ae3ef541 100644
--- a/tests/structs/test_hierarchical_swarm.py
+++ b/tests/structs/test_hierarchical_swarm.py
@@ -1,5 +1,5 @@
 from swarms import Agent
-from swarms.structs.hiearchical_swarm import HierarchicalSwarm
+from swarms.structs.hierarchical_swarm import HierarchicalSwarm
 
 
 def test_hierarchical_swarm_basic_initialization():
diff --git a/tests/test_main_features.py b/tests/test_main_features.py
index 9fd2cef6..78491111 100644
--- a/tests/test_main_features.py
+++ b/tests/test_main_features.py
@@ -395,7 +395,7 @@ def test_spreadsheet_swarm():
 def test_hierarchical_swarm():
     """Test HierarchicalSwarm structure"""
     try:
-        from swarms.structs.hiearchical_swarm import SwarmSpec
+        from swarms.structs.hierarchical_swarm import SwarmSpec
         from swarms.utils.litellm_wrapper import LiteLLM
 
         # Create worker agents