Apr 12, 2023

The advent of large language models (LLMs) has generated immense interest in developing applications using these powerful tools. LangChain, a popular framework with over 24k stars, has become the go-to platform for creating AI agents. With the goal of making AI agent creation accessible to everyone, we’re excited to introduce yAgents by Yeager.ai, the first agent capable of creating new agents, released under the MIT license.

What is LangChain?

LangChain is a powerful framework that allows developers to create agents. These agents make decisions, perform actions, observe results, and repeat the process to accomplish various tasks. LangChain offers a standard interface, a selection of agents, and end-to-end examples, making it the perfect foundation for all of Yeager.ai’s products.

AI Agent Creation Made Easy

yAgents is our groundbreaking new product that significantly optimizes the process of creating AI agents. Built on top of the LangChain framework, yAgents empowers users to create, improve, and deploy AI agents with ease, regardless of their technical background.

How to Use yAgents

Getting started with yAgents is simple. Visit the GitHub repo and run the following commands:

> pip install yeagerai-yagents
> yeagerai-agent

Two Examples of yAgents in Action

Here are two different ways to use yAgents:

Prime number generator (single prompt):

‘Create a tool that generates prime numbers’

GitHub LangChain project search and summary (multiple prompts):

‘Let’s work on the solution sketch of an agent that can search GitHub for LangChain-related projects, read their README.md files, summarize them using GPT-4'

‘Make sure that it can save project names, links, and summaries in a CSV file’

‘Now write the tests for it’

‘Now write the code’

An Exciting Future

Imagine a world where the full potential of AI agents is unleashed, transforming the way we develop software, automate tasks, and interact with digital environments.

Picture an AI agent capable of autonomously developing a software prototype, writing tests, and deploying the solution within hours instead of weeks. This agent could identify emerging trends in technology and automatically adapt, optimizing its performance and keeping your software on the cutting edge.

We are walking towards a future where Yeager.ai enables developers to create AI agents that learn from the global community, integrating solutions from thousands of sources, and evolving through open collaboration. This dynamic ecosystem of AI agents will empower developers to push the boundaries of what’s possible, revolutionizing industries and changing the world as we know it.

Conclusion

Yeager.ai is revolutionizing AI agent creation by making it accessible to everyone. With its user-friendly design, seamless LangChain integration, and growing community, yAgents is an essential tool for AI agent creation and deployment.