project screenshot 1
project screenshot 2
project screenshot 3

ZK Study Group

AI Experiment using multi-agents to autonomously discuss, analyze, and generate insights about zero-knowledge (ZK) cryptography and Web3 protocols.

ZK Study Group

Created At

Agentic Ethereum

Project Description

ZK Study Group Agents is an AI-powered autonomous research group focused on zero-knowledge cryptography and Web3. The project leverages multiple AI agents, each specializing in different aspects of ZK and Web3, to conduct discussions, summarize research papers, generate technical insights, and propose innovative solutions.

These agents interact in a structured discussion format, mimicking a real-world study group, where they ask questions, debate ideas, and refine concepts. The goal is to make ZK technology more accessible and generate high-quality knowledge that can be used by developers, researchers, and enthusiasts.

The project is designed to:

  • Provide structured, AI-moderated discussions on ZK proofs, rollups, and privacy-enhancing technologies.
  • Summarize research papers and technical blogs using NLP techniques.
  • Generate code snippets, use case ideas, and technical implementations.
  • Offer an interactive, on-demand study tool for the Web3 community.

How it's Made

  • AI Multi-Agent Framework: Built using @AWS’s Nova function-calling and agents.
  • Discussion Orchestration: Custom logic to facilitate structured discussions and debates.
  • Web3 & ZK Research Data: Ingests academic papers, EIPs, GitHub repos, and blogs.
  • Frontend: Browser-based UI (React + TypeScript) to interact with agents.
  • Backend: Python FastAPI handling agent interactions and external API integrations.
  • Ethereum & Web3: Uses smart contracts for knowledge validation
background image mobile

Join the mailing list

Get the latest news and updates