BrowseAI-Dev

[](https://www.npmjs.com/package/browseai-dev) [](https://pypi.org/project/browseaidev/) [](https://pypi.org/project/langchain-browseaidev/) [](LICENSE) [](https://discord.gg/ubAuT4YQsT)

Research infrastructure for AI agents — real-time web search, evidence extraction, and structured citations. Every claim is backed by a URL. Every answer has a confidence score.

Agent → BrowseAI Dev → Internet → Verified answers + sources

Website · Playground · API Docs · Discord

> Package names: npm: `browseai-dev` · PyPI: `browseaidev` · LangChain: `langchain-browseaidev` — Previously browse-ai and browseai. Old names still work and redirect automatically.

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search → fetch pages → neural rerank → extract claims → verify → cited answer (streamed)

Every answer goes through a multi-step verification pipeline. No hallucination. Every claim is backed by a real source.

Confidence scores are evidence-based — not LLM self-assessed. After the LLM extracts claims and sources, a post-extraction verification engine checks every claim against the actual source page text:

1. Atomic claim decomposition — Compound claims are auto-split into individual verifiable facts. "Tesla had $96B revenue and 1.8M deliveries" becomes two atomic claims, each verified independently.
2. **Neural