Ross ROSS = Recommend OSS · open-source software intelligence for agents

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 Google's Gemini 2.5 Flash and OpenAI's GPT-5.1 on the backend for inference. observed · 2026-08-28

github.com/guy-hartstein/company-research-agent · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

75/100

  • Activity 97
  • Release rhythm 67
  • Longevity 40
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 97
  • age_days: 567
  • days_rel: 60
  • days_push: 21
  • n_releases_24m: 4

Full methodology

Adoption not part of the score

2250 stars · 313 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A multi-agent company research application built with LangGraph and Tavily that generates comprehensive due-diligence reports on any company. It orchestrates specialized research and processing nodes using Gemini 2.5 Flash for synthesis and GPT-5.1 for report editing, with a React frontend for progress tracking.

Use cases

  • research a company before an interview
  • generate due diligence reports on companies
  • gather financial and news data about a competitor
  • automate company background research
  • compile industry and market analysis for a target company
  • produce structured company briefing documents

When to choose

  • you need automated, multi-source company research reports
  • you want a customizable LangGraph agent pipeline for deep research
  • you want a self-hosted alternative to hosted research tools with a ready web UI

When to avoid

  • you need general web research beyond company profiles
  • you don't want to manage API keys and costs for Gemini and OpenAI models
  • you need a lightweight single-call summarizer rather than a multi-agent pipeline

Facets

application · maturity active

agent-framework rag search-engine llm-inference web-scraping nlp artificial-intelligence fintech python self-hosted langgraph tavily multi-agent company-research due-diligence gemini openai react-frontend ai-agents natural-language-processing research web-server docker

2 sources

Member repositories

RepositoryRoleHealth v2
guy-hartstein/company-research-agentmain75

For agents

markdown · JSON · MCP: product_card(name="guy-hartstein/company-research-agent")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem