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Deep Research

An OpenAI research assistant for generating in-depth reports using workflows or multi-agent architectures.

Overview

Open Deep Research is an experimental, fully OpenAI research assistant that automates deep research and produces comprehensive reports on any topic. It offers two implementations—a structured workflow and a multi-agent system—each with unique strengths. Users can customize models, prompts, report structure, and search tools to fit their needs.

Technologies

  • Automates deep research and report generation
  • OpenAI, Claud and fully customizable
  • Supports both workflow and multi-agent execution
  • Compatible with various search APIs and LLMs
  • Interactive UI and local/hosted deployment options

Key Features

Graph-based Workflow Implementation

Follows a structured plan-and-execute process with human-in-the-loop, section-specific research, and customizable parameters for planning and writing.

Multi-agent Research System

Uses a supervisor-researcher architecture where each agent handles a report section in parallel, boosting efficiency and speed.

Flexible Search API Integration

Integrates with APIs like Tavily, Perplexity, Exa, ArXiv, PubMed, Linkup, and DuckDuckGo for high-quality web and academic search.

Model Agnostic Design

Supports a wide range of LLMs via the init_chat_model() API, including OpenAI, Anthropic, and OSS models like Groq's LLaMA 3.

Customizable Parameters

Users can tweak report structure, search depth, number of queries, and specific model behavior to control output quality.

Common Use Cases

Academic Research

Generate comprehensive literature reviews and academic-style reports with citations using ArXiv and PubMed integrations.

Business and Market Analysis

Conduct thorough market research reports using web search APIs like Tavily and Exa, tailored to industry-specific needs.

Internal Knowledge Base Generation

Automate the production of internal documentation or reports using structured research flows across various domains.

Rapid Prototyping of Research Workflows

Quickly iterate and test new research assistant workflows with LangGraph server, custom prompt flows, and multi-agent orchestration.

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