Chirpz
Chirpz is an AI-powered research assistant that helps you uncover relevant academic citations directly within your writing environment by reading your text, searching major research databases, and presenting a ranked list of papers complete with metadata and relevance scores. With a built-in notebook editor, you simply write your draft, type the cite command where you need a reference, and the agent instantly recommends the most pertinent papers, eliminating the need to switch tabs or manually sift through search results. Beyond basic citation discovery, Chirpz includes a “Deep Research Agent” in chat-interface form that conducts comprehensive web and academic searches, produces structured outlines or first-drafts, and exports to formats such as LaTeX, Word, or PDF for seamless integration into your workflow. It is designed to support real-time discovery of foundational, cutting-edge, or hard-to-find sources, while storing your notes, sources, and drafts in one unified workspace.
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Crescis
Crescis is an AI powered research assistant that creates citation ready literature reviews from either your uploaded PDFs or AI powered searches across millions of scholarly articles. It retrieves relevant open-access papers, summarizes complex research into clear insights, and organizes sources into collections. Generate flawless citations in APA, MLA, Chicago, and more, then compile your findings into ready to edit literature review drafts. By combining search, retrieval, summarization, organization, and citation into one platform, Crescis helps students, researchers, and professionals turn scattered sources into polished academic writing, faster, easier, and more accurately than ever.
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Sciscoper
Sciscoper is an AI powered research assistant that is used to streamline and accelerate the literature review process for STEM researchers, academics, and R&D teams. Researchers often deal with hundreds or thousands of scientific papers scattered across different sources, making it difficult to extract meaningful insights efficiently.
Sciscoper solves this by using AI and natural language processing to automatically:
Summarize scientific papers and research findings.
Extract key insights, concepts, and relationships across documents.
Generate literature reviews with citations in multiple reference styles.
Organize and index papers into a structured, searchable knowledge base for easy discovery.
This allows users to focus less on manual reading and note-taking, and more on analyzing results, identifying research gaps, and producing new scientific knowledge.
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Open Paper
OpenPaper is an AI-native workbench designed to help researchers read, annotate, and understand academic papers more effectively. It offers a split-pane interface that allows users to engage with the full text of a paper while interacting with an AI assistant. This assistant provides grounded citations for its responses, ensuring transparency and trustworthiness. Key features include inline annotations, audio overviews of papers, and the ability to find related research using OpenAlex. Users can upload papers to build a personal knowledge base and switch between AI models like GPT-4 and Gemini 2.5 Pro. It also supports shareable annotations, facilitating collaboration among researchers.
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