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Locus Totems

Locus Agent Starter Kit

Locus Agent Starter Kit

The first in a series of python-based AI systems built with LangGraph

 

Our FREE Agent Starter Kit is based on our initial Agent Architecture, "Agent Mark 1." It is designed for individual engineers who share our vision of AI. This kit provides a codebase structure to help you develop your own AI agent tailored to your preferences and specific use case.

 

What is included?

The download package includes the complete code for Agent Mark 1, along with Docker Compose files for easy setup. Everything you need to run the agent is included; you simply need to provide your own API keys for OpenAI, Tavily, and Langsmith (optional).

If you find value from this please reach out through one of our contact links, we would love to hear from you.

Please check your spam folder in the email account you provide at checkout if you do not receive your download link within 10 minutes.

Why we built Agent Mark 1

Throughout our journey, we faced numerous challenges, including real-time token streaming, backend-frontend communication, setting up Langgraph and Streamlit, and containerization with Docker.

This template shows one approach to overcoming these obstacles. We hope it accelerates your development process as you embark on building your own agent.

Why it is free to download

We’ve made Mark 1 available for free to inspire you to start developing your own agent. In our brief time working on this project, we’ve gained invaluable insights into coding, problem-solving, and the promising potential of this technology for the future.

We only ask that you engage in the community and provide constructive feedback so we can develop our agents together.

Installation Guide

Instructions


1. Docker Desktop (Video Tutorial):

A comprehensive video guide on how to install and use Docker Desktop.


2. OpenAI Key:

You will need an OpenAI API key to access the OpenAI services. You can obtain it from the OpenAI website.


3. Tavily Key:

To use Tavily, you must acquire an API key from the Tavily website.


4. Langsmith Key (Optional):

If you wish to use Langsmith, you can get an API key from the Langsmith website.


5. Add these API Keys to the .env file:

OpenAI and Tavily are required while the Langsmith is optional.


6. Make a directory and paste files inside:

Create a new directory on your local machine and place all the downloaded files inside it.


7. Run the following command in the folders terminal:

docker-compose up -d --build
This command will build and start your Docker containers in detached mode.


8. Access the frontend:

Once the Docker Compose app is running, you can access the frontend from inside Docker Desktop by clicking the link labelled "8501:8501" next to the container or by typing "localhost:8501" into your browser.


9. Launching next time:

In the future, you can simply launch the app directly from Docker Desktop by clicking the play button.


10. For Feedback and Questions:

Please use one of the contact forms on this website (like the one below) to reach out with any feedback or questions. Happy building and we look forward to hearing from you.
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Please reach out here: