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ScienceClaw is a personal research assistant built with LangChain DeepAgents and AIO Sandbox infrastructure, adopting a completely new architecture beyond OpenClaw. It offers stronger security, better transparency, and a more user-friendly experience.
AI research assistant for researchers: turns ideas into evidence-grounded outcomes with live paper retrieval, full-text reasoning, citation tracing, and proposal workflow planning.
An open‑source desktop RAG application that enables semantic search across your Zotero library. Easily discover conceptually related papers and ideas within your PDF collection using local or cloud‑based LLMs. The app provides source attribution, metadata filtering, and seamless integration with Zotero. macOS and Linux. Windows support limited.
Open-source AI thesis writer with 19 specialized agents. Generate 20k+ word research drafts in 10 minutes. FREE (Gemini). Verified citations from 250M+ papers (Crossref, OpenAlex, Semantic Scholar). Export PDF/Word/LaTeX. MIT licensed.
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.
These #LangChain-powered apps include a Research Assistant that generates reports using web scraping and GPT-4o-mini, and Chat With Video, a #Streamlit app that #transcribes videos and enables content-based Q&A via #embeddings.
An autonomous research and synthesis agent powered by Google Gemini. Features intelligent deep research, query decomposition, and safe local system control via a native Python loop
These #LangChain-powered apps include a Research Assistant that generates reports using web scraping and GPT-4o-mini, and Chat With Video, a #Streamlit app that #transcribes videos and enables content-based Q&A via #embeddings.
AI research assistant that extracts structured patterns from papers using RAG, LangGraph, and Claude. Query across your research library with natural language.