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Local Deep Research

Execute comprehensive multi-angle investigations across scientific journals and web repositories using Local Deep Research, an autonomous intelligence engine designed for researchers, analysts, and knowledge workers. Users can submit complex analytical questions through a self-hosted web console to initiate agentic research cycles powered by LangGraph workflows. The application dynamically queries search providers including SearXNG, arXiv, PubMed, Wikipedia, and Google, iteratively evaluating discovered content to formulate targeted follow-up queries. Discovered academic papers and web sources can be indexed into an encrypted personal library to combine internal documentation with external search intelligence. Reports are synthesized with structured outlines, section headings, and verifiable academic citations that link directly to source references. Individual research sessions, system logs, and user credentials remain isolated in per-user SQLCipher databases protected by AES-256 encryption. Automated subscriptions deliver scheduled news digests and topic monitoring summaries directly to connected notification channels. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Local Deep Research
Local Deep Research
Local Deep Research
Local Deep Research
Local Deep Research
Local Deep Research

Benefits

  • Autonomous Multi-Step Information Gathering
  • LangGraph orchestration decomposes complex investigative questions into targeted sub-queries, iteratively querying search engines and evaluating findings until sufficient corroborating evidence is compiled for synthesis.
  • Zero-Knowledge Database Cryptographic Security
  • Every user session, research log, document index, and API credential is encrypted on disk using SQLCipher AES-256, guaranteeing that investigative findings remain confidential on multi-tenant infrastructure.
  • Federated Academic Literature Search
  • Direct API integrations with PubMed and arXiv connect investigative workflows to peer-reviewed scientific journals, preprint archives, and open-access repositories alongside general-purpose web results.
  • Verifiable Grounded Citation Export
  • Synthesized markdown, PDF, and DOCX research reports automatically link every factual claim to verified web URLs and academic DOIs, preventing synthetic hallucinations and speeding up source review.

Features

  • LangGraph Agent Workflows
  • Coordinates multi-step research loops using stateful LangGraph workflows with configurable iteration limits, query refinement logic, and automated reflection.
  • SearXNG Meta-Search Integration
  • Connects with private SearXNG instances to query dozens of search engines simultaneously without exposing user search patterns to commercial trackers.
  • Encrypted Document Collections
  • Stores uploaded PDFs and harvested web sources in encrypted SQLCipher databases with vector embeddings for semantic similarity retrieval.
  • Automated News Subscriptions
  • Executes scheduled topic searches at custom intervals to generate periodic briefing documents and monitor evolving subject matter automatically.
  • Real-Time WebSocket Streaming
  • Streams live agent thoughts, tool invocations, and sub-query progress to the browser dashboard via WebSockets for complete research transparency.