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MiroThinker is an open-source search agent model, built for tool-augmented reasoning and real-world information seeking, aiming to match the deep research experience of OpenAI Deep Research and Gemini Deep Research.
MiroMind Research Agent: Fully Open-Source Deep Research Agent with Reproducible State-of-the-Art Performance on FutureX, GAIA, HLE, BrowserComp and xBench.
The CrewAI Research Assistant is a powerful tool designed to help users explore any topic using AI Agents. Built with CrewAI, Exa, and Streamlit, this assistant supports multiple large language models (LLMs) and offers advanced answering capabilities through Exa. It visualizes the research process in real-time, generates structured research reports
An autonomous research agent that synthesizes detailed reports by combining dynamic planning, unsupervised topic discovery (PCA/KMeans) HyDe (hypothetical doc embeddings), and a self-correcting reflexion loop.
A multi-phase pipeline for automated academic research. The system discovers papers, constructs a vector-indexed library, generates structured documents with inline citations, and iterates through peer review until acceptance criteria are met.
Experiments with Google ADK and agentic workflows. Includes search agents, research/summarization chains, sequential and parallel agent orchestration, and lightweight Web UI flows. A sandbox for exploring multi-agent patterns.
🧠Research Agent - 🔍 An AI-powered Research Agent to find, summarize, and analyze research papers using Replicate's LLMs. Supports web search, PDF summarization, and hypothesis generation – all in one Streamlit app.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report