LangChain
Framework for developing applications powered by language models
Automate Market Analysis with Multi-Agent Trading Ever wondered how to build a team of AI experts to master the stock market
Automate Market Analysis with Multi-Agent Trading Ever wondered how to build a team of AI experts to master the stock market? Meet TradingAgents, a powerful research framework that simulates a professional financial institution by using specialized LLM-powered agents. Instead of relying on one model, it deploys distinct roles like fundamental, technical, and sentiment analysts that collaborate and debate through structured workflows to refine trading strategies. Built with flexible tools like LangGraph, it features persistent memory for reflection and checkpoint recovery for seamless operation. Explore this framework to see how multi-agent collaboration creates more robust, informed, and truly scalable financial decision-making for your next research project. Open source: tauricresearch/tradingagents Spotted on Hacker News. Follow for more open source project drops. #opensource #github #programming #coding #buildinpublic #tradingagents #hackernews
Framework for developing applications powered by language models
Supercharge Your AI Coding Workflow Today Are you tired of AI coding agents that lack focus and depth
The AI Agent That Grows With You
Supercharge Your AI Coding Workflow Are you tired of AI writing code that just does not fit your engineering standards