presented by

Solving real world use-cases using AI agent frameworks
like SuperAGI, AutoGPT, Langchain, etc.

What are AUTONOMOUS Agents?

Agents are kernels of micro-autonomous intelligence designed to complete intellectual and knowledge-based tasks.

Autonomous Agents are powered by LLMs (Large Language Models) and equipped with advanced decision-making frameworks to operate independently – making decisions and performing tasks without human intervention.

Adapting based on the outcomes of their past actions, these Agents are capable of dividing goals into smaller tasks by determining optimal tools for execution.

Open-Source Tech Stack

The Challenge

The challenge of the hackathon was to build/provision autonomous agent(s) to solve a real-world use case. Participants leveraged existing open-source AI agents frameworks like SuperAGI, AutoGPT, LangChain etc.

Developed necessary Tools/Plugins for the framework required to solve the use case.

Some potential real world use-cases can be found here.

Winners

Evo.ninja

Evo.ninja learns new scripts on-the-fly, it taps into script libraries to learn new functionality, all at run-time and it also writes its own scripts if it can’t find any relevant library to complete the goal.

RicAI

An Autonomous AI Agent for software testing that understands (complex) software requirements and business logic, generates test cases & provides feedback and test reports.

ATLAS

ATLAS is an intuitively integrated autonomous agent system that uses Claude, OpenAI & llamaIndex. ATLAS functions as an all-in-one solution to create the different business system materials required for a startup.

TidyAI

TidyAI automates data preprocessing and cleaning. The agents detect the mistakes that might prevent a future analysis or visualization and generate a list of transformations to apply.