Data and databases · Independent · 24 Oct 2026

guy-hartstein/company-research-agent

An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies using a multi-agent framework. It leverages OpenRouter on the backend for rapid inference with any leading model.

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In simple English

This tool writes deep research reports about companies for you. You type in a company name, and it searches the web and reads articles. Then it writes a structured summary about the business, its finances, and recent news. You can read the report in your web browser and save it as a PDF file. It costs money for the web searches and the language model calls you use.

What it is

An automated research assistant that uses multiple AI agents to gather, verify, and summarize information about any company. It combines a Python backend with a React web interface.

What it is good for

Solo builders who need to research competitors, potential investors, or target customers without spending hours reading web pages by hand.

Stars2.3k
LicenceApache-2.0
Latestv2.3.0 (2026-10-16)checked 24 Oct 2026
Last code change2026-10-22
Written inPython
Setup effort
4 / 5
Payoff
4 / 5
Good
  • Builds complete, source-backed company reports automatically.
  • Includes a clean web interface with live progress updates.
  • Supports a wide range of language models through OpenRouter (a service that lets you use many different AI models with one account).
Watch for
  • Requires technical knowledge to set up and run multiple local services.
  • Needs paid API keys for web search and language models to function.
  • Uses significant memory and processing power when running local database containers and AI agent loops.
Replaces

Manual web searches, note-taking, and putting together company profile documents by hand.

Works well with

MongoDB (a document database used to save reports and job history over time).

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Install
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
cp .env.example .env

Independent: reviewed for Repo Radar outside the daily editions. Every independent repository

On Stack Radar: Sales & Customers › Sales Outreach & Enablement › Sales Intelligence.

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