使用Local Deep Research运行本地深度研究工作流
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:
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- 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/1991513ccie-png/skills
- Extracted from upstream docs: https://raw.githubusercontent.com/LearningCircuit/local-deep-research/HEAD/README.md
Documentation
- https://github.com/1991513ccie-png/skills
