#616 · Primary category: AI Agents & Automation

company-research-agent

agents ai company financial-analysis gemini gemini-3-flash langchain langgraph-python multi-agent-systems openai python research tavily tavily-api tavily-search

An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies using a multi-agent framework. It leverages Google's Gemini 2.5 Flash and OpenAI's GPT-5.1 on the backend for inference.

Project last updated:08/12/26

GitHub Stars

2.3K

Forks

315

Contributors

6

License

Apache-2.0

Why we included this project

This project runs a pipeline of specialized agents that each handle one slice of company research: core business details, market position and industry trends, financial metrics, and recent news. Their findings are filtered by relevance scoring and assembled into a structured briefing, with a React frontend that tracks progress and exports the finished report. Splitting the work between Gemini for high-context synthesis and GPT for final formatting is a clean division, and one you can swap out for other models. For analysts and small teams that prepare company profiles for due diligence or competitive reviews, this is a useful reference implementation of LangGraph multi-agent orchestration, with a modular node structure that is easy to adapt.

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