Comprehensive automatisierte Literaturrecherche Tools for Every Need

Get access to automatisierte Literaturrecherche solutions that address multiple requirements. One-stop resources for streamlined workflows.

automatisierte Literaturrecherche

  • An open-source framework of AI agents emulating scientists to automate literature research, summarization, and hypothesis generation.
    0
    0
    What is Virtual Scientists V2?
    Virtual Scientists V2 serves as a modular AI agent framework tailored for scientific research. It defines multiple virtual scientists—Chemist, Physicist, Biologist, and Data Scientist—each equipped with domain-specific knowledge and tool integrations. These agents utilize LangChain to orchestrate API calls to sources like Semantic Scholar, ArXiv, and web search, enabling automated literature retrieval, contextual analysis, and data extraction. Users script tasks by specifying research objectives; agents autonomously gather papers, summarize methodologies and results, propose experimental protocols, generate hypotheses, and produce structured reports. The framework supports plugins for custom tools and workflows, promoting extensibility. By automating repetitive research tasks, Virtual Scientists V2 accelerates insight generation and reduces manual effort across multidisciplinary projects.
    Virtual Scientists V2 Core Features
    • Predefined domain-specific agents (Chemist, Physicist, Biologist, Data Scientist)
    • Automated literature search and retrieval
    • Scientific paper summarization
    • Hypothesis and experiment design generation
    • Integration with Semantic Scholar, ArXiv, and web search
    • Customizable agent pipelines and plugins
    • Structured report generation
  • An autonomous AI Agent automating literature search, paper summarization, research idea generation, and experimental design.
    0
    0
    What is AI Researcher?
    The AI Researcher agent acts as a virtual research assistant that automates key phases of scientific inquiry. It begins by accepting a user-defined topic and performing automated literature searches across online databases via integrated web search. It then extracts and summarizes the most relevant papers, highlights core findings, and identifies research gaps. Using these insights, the agent generates novel research questions and proposes experimental design outlines. The framework supports customizable task pipelines, allowing users to adjust search parameters, summarization depth, and idea generation strategies. All interactions occur through a simple command-line interface, leveraging Python scripts and OpenAI APIs. Researchers can review, refine, and export results to accelerate literature reviews and early-stage planning.
  • DistillerSR automates literature reviews for faster, evidence-based research.
    0
    0
    What is evidencepartners.com?
    DistillerSR is an AI-powered software that streamlines all stages of literature reviews, making the process faster and more accurate. It automates tasks such as data extraction, quality assessment, and synthesis, allowing researchers to focus on analysis and interpretation. With its robust feature set, DistillerSR helps teams manage their workflows efficiently while ensuring higher data accuracy and reduced error rates. It also includes collaboration tools to enhance team productivity.
Featured