Autonomous Agents Hackathon

SuperAGI is hosting Twitter space before the Hackathon, having an open discussion on AI Agents with AI experts from SuperAGI, Weaviate, Llamaindex, and lablab.ai

Join the discussion on Twitter on @_superAGI page!

Twitter Space Talk!

Hackathon Kick-Off

The founders at NewNative and lablab.ai will introduce participants to our mission and the opportunities you have as a member of the lablab.ai community

NewNative Introduction

Introduction to SuperAGI: Exploring AI Agents

AI Agents Explained: A Talk by Logan Kilpatrick (from OpenAI)

Vector Databases & AI Agents: A Talk by Etienne Dilocker, Weaviate

Let's go through the Technologies for the Hackathon and how you can learn it.

Technology and Challenge

We will guide you through the website, and Discord community - to make sure you will succeed at the Hackathon

Hackathon Guide

Weaviate Workshop: 45-Minute Session with Mentors on Discord

AWS Workshop with Goutam Kurumella

Open Q&A with mentors

Live Q&A: Meet the Auto-GPT Team

Join us for an insightful Q&A session with Vasek Mlejnsky of E2B and the expert mentors from lablab.ai!

Book Your Slot with Industry Experts! Collaborate with Mentors from Arize, Lablab.ai, LlamaIndex, SuperAGI, and Weaviate to Finalize Your Concepts and Ideas!

Mentorship Sessions

Arize Workshop on Discord: Troubleshooting Retrieval Augmented Generation

Q&A Session with GPT Engineer Anton Osika

Submission Deadline

Finnalists Pitching and Winners Announcament Stream

60+ years of life experience and a database of knowledge? We're like a supercomputer of wisdom!

TACTICAL AI

evolved-civilian

thebadasscoder

Our project was to run a low cost simultaneous series of agents that interact with the same environmental conditions and collaborate on the same output documents. We initially had the ambition to run 10 Upper Level Suite agents (long term themes/short term goals: 3 year to 3 month); 30 supporting agents (2 week check ups; daily repeat functions) but we were unable to get enough domain knowledge sets for this particular project. So we ran with the domain knowledge we had and eventually decided on testing a "Human - Machine Teaming" model that would be designed to help humans trust the power of the technology without it seeming threatening by identifying the sources of our domain knowledge sets, setting the map of their agenda, storing the information of their agenda in pinecone and synthesizing that with domain knowledge specific to the role. Also, Super AGI has a tool that allows for document modification and that allowed us to have the agents interact on the same document from multiple perspectives. The end result was actionable data with very few errors. The amount of work done in the time to actually set up the agents, set the map of the project and process goals for each agent was nothing compared to the amount of work we received from the agents. It was about 40 hours of labor for 4 people produced in 1 run which you can see the outputs in Github. Anyways, thank you for hosting the space. Be well. 

We engineer collaborative autonomous multi-agent systems for entrepreneurs and small businesses. Thank you for reading.

"TACTICAL AI team on Autonomous Agents Hackathon Hackathon"

Team Idea

Submission