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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.
--- name: run-local-deep-research-workflows-with-local-deep-r-05d1d5e6e614 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: - [](https://hub.docker.com/r/localdeepresearch/local-deep-research) - [](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/)--- name: run-local-deep-research-workflows-with-local-deep-r-05d1d5e6e614 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: - [](https://hub.docker.com/r/localdeepresearch/local-deep-research) - [](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/)
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.