open deep research

Report Abuse

Basic Information

Open Deep Research is an open-source clone of OpenAI's Deep Research experiment that provides a Next.js AI chatbot template focused on researching the web. It combines Firecrawl's search and extract capabilities to feed real‚Äëtime web data into a reasoning model so the application can analyze, summarize, and produce structured outputs from multiple web sources. The project is built on Vercel's AI SDK and the Next.js App Router, and is designed to be deployed on Vercel with optional one‚Äëclick deployment. It targets users who want a deployable research assistant that integrates different LLM providers, persistent chat history, authentication, and file storage while offering configuration for reasoning models and function timeouts via environment variables.

Links

App Details

Features
The repo integrates Firecrawl search+extract to ingest live web content and extract structured data. It uses the Vercel AI SDK to unify model calls and support multiple providers including OpenAI, Anthropic, Cohere, and TogetherAI. The frontend is a Next.js App Router application with React Server Components and server actions for performance, styled with shadcn/ui and Tailwind CSS. It includes data persistence via Vercel Postgres and Vercel Blob, authentication through NextAuth.js, and configurable reasoning model behavior using a REASONING_MODEL env var and BYPASS_JSON_VALIDATION option. The template includes deployment tooling for Vercel, environment variable guidance, model dependency instructions, and configurable function max duration.
Use Cases
This project helps teams and individuals build or run an AI research assistant that can search the live web, extract structured information, and perform higher‚Äëlevel reasoning on gathered documents. It simplifies swapping LLM providers and configuring a dedicated reasoning model for structured outputs, enabling research analysis, document suggestions, and data extraction workflows. Built‚Äëin persistence preserves chat history and uploaded files, and authentication secures user access. The template includes local development and migration commands, and a ready path to deploy on Vercel, reducing setup friction for deploying a research‚Äëfocused conversational agent that leverages real‚Äëtime web data and structured model responses.

Please fill the required fields*