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Run Local Deep Research Workflows With Local Deep Research

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Use Local Deep Research to run private agentic research passes across web, academic, and local document sources with citations and an encrypted knowledge base.

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  • Added June 2, 2026
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Scanned June 2, 2026

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SKILL.md
---
name: "Run local deep research workflows with Local Deep Research"
slug: "run-local-deep-research-workflows-with-local-deep-research"
description: "Use Local Deep Research to run private agentic research passes across web, academic, and local document sources with citations and an encrypted knowledge base."
github_stars: 7865
verification: "security_reviewed"
source: "https://github.com/LearningCircuit/local-deep-research"
author: "LearningCircuit"
publisher_type: "organization"
category: "Research & Scraping"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "LearningCircuit/local-deep-research"
  github_stars: 7865
---

# 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.

## Prerequisites

Local Deep Research, Docker or Python runtime, Ollama or OpenAI-compatible LLM endpoint, search backend such as SearXNG, optional private document library

## Installation

Use the upstream install or setup path that matches your environment:
- docker run -d -p 11434:11434 --name ollama ollama/ollama
- docker exec ollama ollama pull gpt-oss:20b
- docker run -d -p 8080:8080 --name searxng searxng/searxng
- docker run -d -p 5000:5000 --network host \

Requirements and caveats from upstream:
- [![Docker Pulls](https://img.shields.io/docker/pulls/localdeepresearch/local-deep-research?style=for-the-badge)](https://hub.docker.com/r/localdeepresearch/local-deep-research)
- [![🐳 Docker Publish](https://github.com/LearningCircuit/local-deep-research/actions/workflows/docker-publish.yml/badge.svg)](https://github.com/LearningCircuit/local-deep-research/actions/workflows/docker-publish.yml)
- **Option 1: Docker Run (Linux)**

Basic usage or getting-started notes:
- AI research assistant you control. Run locally for privacy, use any LLM and build your own searchable knowledge base. You own your data and see exactly how it works.
- ## ⚡ Quick Start
- # Step 1: Pull and run Ollama

- Source: https://github.com/LearningCircuit/local-deep-research
- Extracted from upstream docs: https://raw.githubusercontent.com/LearningCircuit/local-deep-research/HEAD/README.md

## Documentation

- https://github.com/LearningCircuit/local-deep-research

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/run-local-deep-research-workflows-with-local-deep-research/)

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