Run local deep research workflows with Local Deep Research
Use Local Deep Research to run private agentic research passes across web, academic, and local document sources with citations and an encrypted knowledge base.
npx skills add agentskillexchange/skills --skill run-local-deep-research-workflows-with-local-deep-research
Use Local Deep Research when an operator needs a repeatable private research workflow that can run against local or cloud LLMs, multiple search engines, academic sources, and private documents. The workflow is to deploy Local Deep Research with Docker, Docker Compose, or pip, connect an LLM endpoint and search backend such as SearXNG, select a research mode such as the LangGraph agent strategy, and review the cited report plus saved research history.
What this skill actually does
Invoke this instead of using a hosted deep-research product when the task needs local control, encrypted per-user storage, private document search, reproducible source collection, or a local Ollama/llama.cpp/LM Studio-style model path. The scope boundary is agentic research execution and knowledge-base search; it is not a generic web search app, citation manager, or broad local-AI platform card.
Inputs are a research question, configured LLM provider or local model endpoint, search engines, optional private documents or indexed library sources, and runtime settings. Outputs are cited research reports, downloaded and indexed sources, searchable research history, and evidence that can be reviewed or rerun locally.