Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A financial agent for investment research
| Date | Stars |
|---|---|
| 2026-07-31 | 2016 |
| 2026-08-06 | 2016 |
| 2026-08-14 | 2019 |
| 2026-08-18 | 2020 |
| 2026-08-21 | 2023 |
| 2026-08-23 | 2024 |
| 2026-08-25 | 2024 |
| 2026-08-27 | 2025 |
| 2026-09-01 | 2027 |
| 2026-09-02 | 2028 |
| 2026-09-03 | 2029 |
| 2026-09-05 | 2030 |
| 2026-09-09 | 2030 |
| 2026-09-10 | 2031 |
| 2026-09-15 | 2032 |
| 2026-09-16 | 2033 |
| 2026-09-18 | 2032 |
| 2026-09-24 | 2033 |
| 2026-09-27 | 2032 |
| 2026-09-30 | 2033 |
| 2026-10-01 | 2033 |
| 2026-10-02 | 2033 |
| 2026-10-03 | 2032 |
| 2026-10-05 | 2031 |
| 2026-10-06 | 2033 |
| 2026-10-07 | 2033 |
| 2026-10-08 | 2032 |
| 2026-10-09 | 2032 |
| 2026-10-10 | 2034 |
| 2026-10-12 | 2035 |
| 2026-10-13 | 2034 |
| 2026-10-14 | 2032 |
| 2026-10-18 | 2032 |
| 2026-10-19 | 2033 |
| 2026-10-20 | 2034 |
| 2026-10-22 | 2034 |
| 2026-10-24 | 2033 |
| 2026-10-25 | 2033 |
| 2026-10-27 | 2034 |
| 2026-10-29 | 2035 |
| 2026-10-30 | 2037 |
| 2026-11-01 | 2039 |
| 2026-11-03 | 2038 |
| 2026-11-04 | 2038 |
Today
— stars today
This week
+4 stars this week
This month
+7 stars this month
Momentum
0.0
growth rate 0.20%/day
# AI Financial Agent 🤖 This is a proof of conncept AI financial agent. The goal of this project is to explore the use of AI for investment research. This project is for **educational** purposes only and is not intended for real trading or investment. 👋 **Demo**: You can use a live demo of this project [here](https://chat.financialdatasets.ai/). <img width="1709" alt="Screenshot 2025-01-06 at 5 53 59 PM" src="https://github.com/user-attachments/assets/7ef1729b-f2e1-477c-99e2-1184c1bfa1cd" /> ## Disclaimer This project is for **educational and research purposes only**. - Not intended for real trading or investment - No warranties or guarantees provided - Past performance does not indicate future results - Creator assumes no liability for financial losses - Consult a financial advisor for investment decisions By using this software, you agree to use it solely for learning purposes. ## Table of Contents 📖 - [Features](#features) - [Setup](#setup) - [Run the Agent](#run-the-agent) - [Financial Data API](#financial-data-api) - [Deploy Your Own Agent](#deploy-your-own-agent) ## Features - [AI Financial Agent](https://chat.financialdatasets.ai) - Productized version of this project - Chat assistant for financial research, stock analysis, and more - Uses generative UI to display stock prices, fundamentals, and more - [Financial Datasets API](https://financialdatasets.ai) - Access to real-time and historical stock market data - Data is optimized for AI financial agents - 30+ years of financial data with 100% market coverage - Documentation available [here](https://docs.financialdatasets.ai) ## Setup ```bash git clone https://github.com/virattt/ai-financial-agent.git cd ai-financial-agent ``` > If you do not have npm installed, please install it from [here](https://nodejs.org/en/download/). 1. Install pnpm (if not already installed): ```bash npm install -g pnpm ``` 2. Install dependencies: ```bash pnpm install ``` 3. Set up your environment variables: ```bash # Create .env file for your API keys cp .env.example .env ``` Set the API keys in the .env file: ``` # Get your OpenAI API key from https://platform.openai.com/ OPENAI_API_KEY=your-openai-api-key # Get your Financial Datasets API key from https://financialdatasets.ai/ FINANCIAL_DATASETS_API_KEY=your-financial-datasets-api-key # Get your LangSmith API key from https://smith.langchain.com/ LANGCHAIN_API_KEY=your-langsmith-api-key LANGCHAIN_TRACING_V2=true LANGCHAIN_PROJECT=ai-financial-agent ``` **Important**: You should not commit your `.env` file or it will expose secrets that will allow others to control access to your various OpenAI and authentication provider accounts. ## Run the Agent After completing the steps above, simply run the following command to start the development server: ```bash pnpm dev ``` Your app template should now be running on [localhost:3000](http://localhost:3000/). ## Financial Data API This template uses the [Financial Datasets API](https://financialdatasets.ai) as the financial data provider. The Financial Datasets API is specifically designed for AI financial agents and LLMs. The Financial Datasets API provides real-time and historical stock market data and covers 100% of the US market over the past 30 years. Data includes financial statements, stock prices, options data, insider trades, institutional ownership, and much more. You can learn more about the API via the documentation [here](https://docs.financialdatasets.ai). **Note**: Data is free for AAPL, GOOGL, MSFT, NVDA, and TSLA. If you do not want to use the Financial Datasets API, you can easily switch to another data provider by modifying a few lines of code. ## Deploy Your Own Agent You can deploy your own version of the AI Financial Agent in production via Vercel with one click: [](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2Fvirattt%2Fai-financial-agent&env=AUTH_SECRET,
Excerpt of 4,851 characters
Read on GitHubVirat Singh · United States
139
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:9cbe1c770db5dcb4, name:financial, desc:financial