Multi Agent Deep Conversational Research Swarms
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Updated
Feb 16, 2025 - JavaScript
Multi Agent Deep Conversational Research Swarms
OpenDeepArxiv is an open-sourced project designed to streamline the process of searching for research papers on arXiv, filtering based on relevance, and generating comprehensive PDF reports complete with summaries. This pipeline leverages state-of-the-art summarization techniques to help researchers quickly grasp the latest findings in their fields
Compilation of info on AI `deep research` tools
一个基于大语言模型的研究、多步推理和内容生成命令行工具,专为中国用户优化设计(A command line tool for research, multi-step reasoning and content generation based on large language models, can be used anywhere without VPN!)
The AI Agent uses SerpAPI to create search queries, retrieve web data, and summarize results. It critiques summaries, identifies gaps, and refines research iteratively until reaching a conclusion or a user-set limit. Its process includes displaying search queries, summaries, critiques, updates, and ends with a detailed report.
AI decision analysis tool that helps users make complex decisions by generating and analyzing multi-level decision trees.
AM1 – A personalized web application for conducting DeepResearch with any Multi-Agent Framework and LLM, designed to run seamlessly on production servers or your local machine.
Deeper Seeker is an simpler OSS version of OpenAI's latest Deep Research feature in ChatGPT.It is an agentic research tool to reason , create multi step tasks , synthesize data from multiple online resources and create neat reports
Doc to Podcast via AI. Turn your DeepResearch into a personal podcast.
Open-source clone of OpenAI's Deep Research. Works with any transformer, gpt4free, & runs in browser. No Firecrawl needed.
Lightweight CodeAgent‑based research assistant for the Hugging Face Hub
MedResearcher-R1 is a deep research agent for medical scenarios, built on a knowledge-informed trajectory synthesis framework.
Cerno is a local-first research platform that leverages agentic AI to break down complex queries into verifiable, multi-step workflows. Switch seamlessly between cloud LLMs and self-hosted models, track every reasoning step, and optimize cost and tokens—all while keeping your data on your machine.
Customer profiling agent that conducts deep local and web research and generates a long report with citations. Completed during summer internship at Microsoft.
Automate complex research with this multi-agent AI system built on LangGraph and FastAPI. A team of specialized AI agents collaboratively clarifies user queries, conducts parallel research, and synthesizes all findings into a detailed, structured report.
Deep research agent built with Neuron PHP AI framewokrk
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