OpenBusiness
VerifiedOpen-source CLI that generates evidence-labeled business model reports via LangGraph agents.
What is OpenBusiness?
OpenBusiness is an open-source CLI built with LangGraph that automates first-pass business model research. It accepts a company name and domain, pulls evidence from web sources and filings, then runs specialized agents to decompose revenue models, customer jobs, and competitive positioning.
Each output report includes explicit evidence labels and a stress-test section that highlights which assumptions would most change the conclusions. Reports are generated in clean Markdown and support both English and Chinese output.
It targets founders, investors, consultants, product teams, and researchers who need a reproducible, auditable starting point before committing to deeper manual diligence.
What you can build with OpenBusiness
Founder competitive teardown
Quickly surface a target company's GTM motion, value proposition, and potential weaknesses to decide what to copy, avoid, or attack.
Investor thesis check
Produce an evidence-tagged durability assessment that flags verified facts versus inferences for early-stage screening.
Product team insight gathering
Map customer switching triggers, adoption friction, and alternatives to inform feature prioritization and positioning.
Install OpenBusiness
pipx install openbusinessgit clone https://github.com/wanikua/OpenBusiness.git
cd OpenBusiness- 1Install via pipx with the command pipx install openbusiness.
- 2Configure API keys for your chosen LLM provider using the built-in setup wizard.
- 3Run a basic analysis with uvx openbusiness analyze "CompanyName" --domain example.com.
- 4Review the generated Markdown report and its evidence labels in the output directory.
- 5Optionally add --language zh for bilingual reports or select a domain-specific analysis pack.
OpenBusiness: pros & cons
Pros
- +Every claim is explicitly labeled with evidence status for easy verification.
- +Multi-agent LangGraph pipeline produces consistent, structured outputs.
- +Includes assumption stress-testing that most generic tools omit.
- +Reproducible artifacts and bilingual support aid documentation and sharing.
Cons
- –Requires paid API keys for LLM and search providers, adding per-report cost.
- –CLI-focused workflow may feel limiting for users who prefer a full GUI.
- –Report quality depends heavily on the freshness and coverage of public web data.
Frequently asked questions
It combines Tavily search, Firecrawl scraping, and SEC EDGAR filings when analyzing public companies.
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