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.
Official Stripe toolkit for AI agents, supporting LangChain, OpenAI Agent SDK, CrewAI, and Vercel AI SDK. Provides MCP Server and IDE integrations to enable payments, subscriptions, and customer management in AI applications.
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.
A daily stock analysis tool developed by ZhuLinsen for automated processing and analysis of stock market data, potentially including technical indicator calculations and visualization capabilities.
Open-source crypto market making and high-frequency trading bot framework supporting CEX/DEX multi-exchange strategy customization and automated execution.
An open-source implementation of Programmatic Tool Calling (PTC) that enables AI agents to execute code instead of making traditional JSON tool calls, dramatically reducing token usage when processing large datasets, particularly valuable for financial analysis scenarios.
A quantitative finance learning resource library with Python implementations of financial models and algorithms, helping learners master fundamental knowledge and practical skills in quantitative finance.
An investment agent system built on the CrewAI framework for automated investment analysis and decision support.
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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