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open-deep-research

An open-source deep research clone using Firecrawl to extract and analyze large volumes of web data.

🌍 OverseasFreeOpen sourceResearch开源低代码Web数据提取推理模型
Platforms: WebSelf-hosted
Region
Overseas
Pricing
Free
Open source
Yes
GitHub Stars
★ 6.2k
Source
GitHub
Added
2026-06-06
Last verified
2026-06-06
open-deep-research

Overview

Open Deep Research is an open-source deep research cloning project that uses Firecrawl to extract and analyze extensive web data. It enables in-depth research by performing real-time searches and extracting structured data. Suitable for researchers, developers, and others who need to process and analyze large amounts of online information.

Key features

  • Firecrawl search + extraction
  • Next.js advanced routing
  • AI SDK unified API
  • shadcn/ui design components
  • Vercel Postgres data persistence
  • NextAuth.js secure authentication

Use cases

Academic research material collectionMarket research and competitive analysisNews media content miningCorporate intelligence gathering

Pros

  • Supports multiple AI model providers
  • Efficient data extraction and analysis
  • Easy to deploy and scale
  • Secure and reliable user authentication

Limitations / notes

  • May require environment variable adjustments
  • Higher configuration barrier for beginners

Who it's for

ResearchersDevelopersData analystsProduct managers

This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.

FAQ

How do I get started with Open Deep Research?

Refer to the documentation to set up environment variables and run locally or deploy to Vercel with one click.

Which AI model providers are supported?

Default support for OpenAI gpt-4o, also compatible with Anthropic, Cohere, and others.

Similar agents

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