Advanced AI deep research assistant using Mastra's workflows and agent capabilities. Creates an interactive, human-in-the-loop research system that allows users to explore topics, evaluate results, and generate comprehensive reports.

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Deep Read Agent is an open-source AI research assistant that automatically discovers recent papers, extracts full PDFs, generates structured deep-reading insights using LLMs, and syncs everything into Notion. It transforms academic research from manual reading into an automated, scalable knowledge workflow.

(AI Agentic Workflow) Deep research assistant using OpenAI SDK

The Open Deep Research agent is an open-source AI assistant that automates in-depth research and report generation via multi-agent workflows, supporting web search, structured reporting, human feedback, and API/LLM integration.

Open Deep Researcher is an AI-powered research assistant that autonomously plans, searches, analyzes, and synthesizes information from multiple sources using agentic workflows. Built with modern LLM frameworks, it enables structured deep research, reasoning, and report generation with minimal human intervention..

AI-powered deep research assistant with a Next.js frontend and FastAPI backend, featuring tool use, sandbox execution, and extensible agent workflows.

A powerful AI research assistant and document analysis platform built on Cloudflare Workers, Workflows, and Vectorize. Features autonomous deep research agents and RAG-based "Chat with PDF" capabilities.

It's an experimental, fully open-source research assistant that automates deep research and produces comprehensive reports on any topic. It features two implementations - a workflow and a multi-agent architecture - each with distinct advantages.

The Deep Research Agent is a state-of-the-art autonomous research assistant built on the LangGraph framework, designed to perform exhaustive web investigation and synthesize professional reports. Unlike standard RAG systems that rely on single-step retrieval, this agent employs a sophisticated multi-agent "Plan-Execute-Reflect" workflow.