TradingAgents is a multi-agent trading framework built with LangGraph that mirrors real-world trading firm dynamics with specialized LLM-powered agents for fundamental analysis, sentiment analysis, risk management, and more.
ValueCell is a community-driven multi-agent platform for financial applications, enabling collaborative financial analysis, trading strategies, and market research through multi-agent orchestration.
An open-source multi-agent simulation platform where multiple LLM-powered agents collaborate on complex tasks in shared environments, with customizable roles, memory systems, and environment interaction for studying multi-agent collaboration.
LazyLLM is a lightweight multi-agent LLM application framework offering the easiest way to build multi-agent LLM apps, with built-in RAG, knowledge graph, fine-tuning, and integration with LangChain and LlamaIndex ecosystems.
AgentVerse is a multi-agent deployment framework by Tsinghua OpenBMB, offering task-solving and simulation paradigms for collaborative multi-LLM-agent systems.