A grounded orchestration framework for multi-agent collaboration on financial tasks leveraging the OSWorld environment, featuring Orchestrator-Worker dual-agent architecture with support for local database queries, GitHub integration, and financial data aggregation.
A Chinese-focused multi-agent LLM framework for financial trading analysis. Features A-share/HK/US support, FastAPI+Vue3 architecture, and full workflow from data sync to report generation.
An open-source AI Agent platform for financial analysis using LLMs, featuring automated stock research, report generation, and trading strategy development. Built by AI4Finance Foundation with multi-agent collaboration via AutoGen framework.
An open-source financial trading framework utilizing multi-agent LLM systems. It simulates the dynamics of a real-world trading firm by deploying specialized AI agents—ranging from fundamental and sentiment analysts to traders and risk managers—who collaborate to analyze market data and formulate trading strategies, primarily designed for research purposes.
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