Scaling Deep Research via Reinforcement Learning in Real-world Environments.

[AAAI 2026] Multimodal Deepresearcher: Generating Text-Chart Interleaved Reports From Scratch with Agentic Framework

fully local web research and report writing assistant based on PydanticAI

deepresearcher with LangGraph

基于LangGraph的多Agent深度搜索项目

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**DeepResearcher** is a lightweight, API-free research companion that scours the open web and scientific archives to generate concise literature-style summaries on any topic — from *Agentic Economics* to *Neural Symbolic AI*. It’s designed for **independent researchers, students, and AI developers** who want quick, multi-source research briefs

Deep researcher with langgraph

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fully local web research and report writing assistant based on LangChain and LangGraph

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This is the code for an agent AI framework that deep dive the internet and answer with a report.

DLResearch

deepresearcher by ai coding

An agent of deepresearcher

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ai deep researcher using selenium

AI-powered research assistant built with pure LangGraph

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LangGraph agent ready to use in web environment

CLI tool for comprehensive research using OpenAI's deep research models with real-time progress tracking and automatic session cataloging

AI-powered research assistant for academic paper writing and literature review, built with a multi-agent architecture using LangChain and LangGraph.

Orchestrated agents for deep research using LangGraph

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Deep Research Orchestrator for Structured Reporting Kotlin-based multi-agent system utilizing GPT-4o and GPT5 to generate detailed reports. Features searching relevant sources, prompt analysis and self-correction

“Modular agentic system for research orchestration with LangGraph, Dockerized frontend + backend.”

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