FinRobot is an open-source AI agent platform developed by the AI4Finance Foundation, a nonprofit organization focused on advancing AI in the financial sector. It is designed to provide a full-stack intelligent solution for financial analysis, investment research, and algorithmic trading by unifying multiple AI technologies including large language models, reinforcement learning, and quantitative analytics. The platform is built around a four-layer architecture: a Financial AI Agents layer that decomposes complex financial problems using Financial Chain-of-Thought (CoT) reasoning; a Financial LLM Algorithms layer that dynamically selects appropriate model strategies per task; an LLMOps and DataOps layer for training and fine-tuning on task-relevant financial data; and a Multi-source LLM Foundation Models layer that integrates various LLMs ranging from 7B to 72B parameters including FinGPT, Llama series, and Falcon. A key capability is its multi-agent CoT system for equity research, formalized in an arXiv paper (2411.08804, November 2024). Three specialized sub-agents work in sequence: the Data-CoT Agent aggregates diverse financial data sources, the Concept-CoT Agent generates analytical insights mimicking a human analyst, and the Thesis-CoT Agent synthesizes findings into a coherent investment thesis and report. This pipeline can produce equity research reports comparable in depth to those from major brokerage firms. FinRobot integrates with Microsoft AutoGen for multi-agent orchestration and connects to financial data providers including Finnhub, SEC-API, and FinancialModelingPrep. A Smart Scheduler mechanism enables seamless switching between multiple LLMs depending on the specific financial task at hand. The project is actively maintained on GitHub with over 7,000 stars as of mid-2026, with issues and contributions ongoing through 2026. Key features: - Multi-agent Financial Chain-of-Thought (CoT) system for equity research and valuation - Four-layer architecture: AI Agents, LLM Algorithms, LLMOps/DataOps, Multi-source LLM Foundation Models - Smart Scheduler for dynamic selection among multiple LLMs (FinGPT, Llama, Falcon, and others) - Integration with Microsoft AutoGen for multi-agent conversation orchestration - Connects to financial data sources: Finnhub, SEC-API, FinancialModelingPrep - Automated equity research report generation with intrinsic stock valuation - Supports investment research automation, algorithmic trading strategies, and risk assessment - Open-source under AI4Finance Foundation, actively maintained with 7,000+ GitHub stars
Free and open-source (MIT/Apache license). No public pricing for any commercial tier found.