Do not index
Do not index
Having an AI workforce used to feel like science fiction. Today, frameworks like Agency Swarm and tools like Cursor make it possible to build an AI team in a single day. Your team can handle tasks and processes, replacing repetitive work and freeing you to focus on growth.
Unlike pre-packaged AI platforms, this approach is customizable and limitless. You write the code to fit your needs, and with Cursor, AI can even write the code for you.
This guide shows you how to build and deploy your own AI team to streamline workflows, scale operations, and drive impact.
What is VRSEN’s Agency Swarm?
Agent swarms are collections of AI tools that handle tasks and processes. For founders and product leaders, they save time and streamline workflows.
With VRSEN’s Agency Swarm, you can create AI agents with customizable roles, define how they interact, and give them tools and full prompt control to fit your needs. It’s free, open-source, and designed for easy deployment in production.
This guide provides a high-level approach with insights from building agents at Lunch Pail Labs. For a detailed walkthrough, check out this tutorial.
1. Set Up Your Environment
Requirements
- Python 3.10 or later
- Cursor for writing and debugging code
- A GitHub repository with a Python
.gitignoretemplate
Install the Tools
Run the following commands:
# Install Agency Swarm
pip install -U agency-swarm
# Create a new project
agency-swarm genesis [--openai_key "YOUR_API_KEY"]
# Set up a virtual environment
python3.10 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
2. Spin Up the Swarm
A swarm is a group of agents that work together.
agency-swarm genesis [--openai_key "YOUR_API_KEY"] The swarm contains three main components
Define Your Agents
Start by deciding the roles for your agents. A Primary Agent acts as the main interface for users. Specialist Agents handle specific tasks like research, content creation, or support. Support Agents provide additional capabilities such as browsing or data analysis.
Plan Communication Flows
Next, outline how agents will interact. Decide the entry point, which is the agent users will communicate with directly. Map out relationships between agents to determine who can share information. Define message routing to ensure data flows efficiently through the swarm.
Create Shared Instructions
Finally, set shared rules and goals for your swarm. Write a mission statement to clarify the purpose of the swarm. Establish standards for communication and response formats to ensure consistency.
You can use agency-swarm genesis [--openai_key "YOUR_API_KEY"] to spin the swarm up
3. Build Your Agents
Agents are the core of your swarm. For each agent, you need to define three key components:
- Instructions: A static prompt that defines the agent’s purpose, goals, and what it should consider when performing tasks.
- Tools: The tools the agent will use (e.g., posting to Notion, creating Canva assets).
- Files: The files or data the agent should access to complete its tasks.
To set up the basic scaffolding for an agent, use:
agency-swarm create-agent-template --name "AgentName" --description "Agent Description" [--path "/path/to/directory"]
This command creates the structure for your agent, which you can customize based on its role and functionality.
Step 4: Deploy Your Swarm
Once your swarm is built, you can deploy it locally for testing or integrate it into production for real impact.
Choose the deployment method that fits your needs:
- API: Expose your swarm as an API to integrate it with a web app or other systems.
- Gradio Interface: Use the built-in Gradio interface for quick local testing and interaction.
- Web App or Page: Host your swarm on a web app or dedicated page for easy access.
- External Tools: Connect your swarm to platforms like Slack to automate workflows. At Lunch Pail Labs, I’ve integrated my swarm with Slack.
Next Steps
Deploying your swarm is just the beginning. Once it’s up and running, you can refine its workflows, add new agents, or scale its capabilities to meet your evolving needs.
For more insights on using AI to automate workflows and build integrations, join my newsletter: The Building Blocks. I share how I’m scaling Lunch Pail Labs with AI and building third-party apps to drive growth.