An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
-
Updated
Jan 23, 2025 - Python
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
"Your Fully-Automated Personal AI Assistant, and Open-Source & Cost-Efficient Alternative to OpenAI's Deep Research"
TrustRAG:The RAG Framework within Reliable input,Trusted output
AI planner similar to OpenAI's deep research
Local RAG researcher agent built using Langgraph, DeepSeek R1 and Ollama
Researcher Agent to write blog posts/ articles using Amazon Bedrock and websearch.
Write a survey report using a supported news site and GPT-4o LLM
AutoCodeAgent - An innovative AI agent powered by IntelliChain, Deep Search, and multi-RAG techniques
Open DeepResearch is an application for assisting in research by conducting comprehensive research on any topic.
Do literature review Fast, Simple and Reliable
A comprehensive deep research agent that combines search engine queries, web content extraction, and LLM analysis to generate detailed reports on any topic with customizable breadth and depth.
A happy medium between AI search and GPT Agents
An Open-Source AI Writing Project.
An AI-powered solution that automates multi-step research processes, mimicking the work of a seasoned research analyst.
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.
Compilation of info on AI `deep research` tools
Web research automation with hierarchical citation trees. A more deterministic alternative to agent-based systems (like OpenAI Deep Research) that builds verifiable reasoning chains, works with smaller LLMs, and prioritizes transparency over black-box agents. Engineered for reliability and cost efficiency.
Deep Research AI Agent is a dual-agent system that conducts web-based research and generates structured summaries. It uses Tavily for data collection and OpenRouter for drafting, offering a user-friendly Streamlit interface with PDF report downloads.
Add a description, image, and links to the deep-research topic page so that developers can more easily learn about it.
To associate your repository with the deep-research topic, visit your repo's landing page and select "manage topics."