{"repo":"aoisora126/PolyMarket-AI-agent-trading","free":true,"listed":false,"github":"https://github.com/aoisora126/PolyMarket-AI-agent-trading","clone":"git clone https://github.com/aoisora126/PolyMarket-AI-agent-trading.git","description":"AI-powered autonomous trading agents for Polymarket prediction markets. This framework enables developers to build sophisticated trading bots using state-of-the-art LLMs, RAG (Retrieval-Augmented Generation), and superforecasting methodologies. Built with Python 3.12+, LangChain, FastAPI, and modern development tooling.","language":"Python","stars":21,"topics":["ai-agent","poly","polymarket","python","trading"],"license":"MIT","category":"trading","readme_excerpt":"[![Contributors][contributors-shield]][contributors-url] [![Forks][forks-shield]][forks-url] [![Stargazers][stars-shield]][stars-url] [![Issues][issues-shield]][issues-url] [![MIT License][license-shield]][license-url] Polymarket Agents Trade autonomously on Polymarket using AI Agents Explore the docs » View Demo · Report Bug · Request Feature Polymarket Agents Polymarket Agents is a developer framework and set of utilities for building AI agents for Polymarket. This code is free and publicly available under MIT License open source license (terms of service)! Features - AI-Powered Trading : Autonomous trading agents using state-of-the-art LLMs - Polymarket Integration : Full API integration for markets, events, and trading - RAG Support : Local and remote RAG (Retrieval-Augmented Generation) for market analysis - Data Sources : Integration with news providers, web search, and betting services - Superforecasting : Advanced prediction capabilities using superforecaster methodologies - Modern Stack : Built with Python 3.12+, LangChain, FastAPI, and modern tooling - Docker Ready : Containerized deployment for easy setup Getting started This project requires Python 3.12+ . Prerequisites - Python 3.12 or higher - pip (Python package manager) - (Optional) Docker for containerized deployment Installation 1. Clone the repository 2. Create a virtual environment Using venv (recommended): Or using uv (faster): 3. Activate the virtual environment - On Windows (PowerShell): - On Windows (C","default_branch":null,"files":null,"tree":[],"storefront":"/r/aoisora126","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/aoisora126/PolyMarket-AI-agent-trading/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}