### [Local Deep Research](https://github.com/LearningCircuit/local-deep-research) > Handle: `ldr`
> URL: [http://localhost:34441](http://localhost:34441) ![Example of LDR in action](harbor-ldr.png) Local Deep Research is an AI-powered assistant that transforms complex questions into comprehensive, cited reports by conducting iterative analysis using any LLM across diverse knowledge sources including academic databases, scientific repositories, web content, and private document collections. #### Starting ```bash # [Optional] pre-pull the image (~7GB) harbor pull ldr # It makes little sense to run ldr without a # search engine such as SearXNG harbor up ldr searxng # Open in your browser harbor open ldr ``` #### Configuration See official [Docker Configuration guide](https://github.com/LearningCircuit/local-deep-research/blob/main/docs/docker-usage-readme.md#using-local-deep-research-with-docker) for reference. Following options can be set via [`harbor config`](./3.-Harbor-CLI-Reference.md#harbor-config): ```bash # Port on the host where the ldr service will be available HARBOR_LDR_HOST_PORT 34441 # Location on the host where service data will be stored # Should be either relative to $(harbor home) or absolute HARBOR_LDR_WORKSPACE ./services/ldr/data ``` The workspace `data/` subdirectory is mounted at the image's `LDR_DATA_DIR` (`/data`) — user accounts (encrypted per-user databases) and research history persist across container recreation. Note that LDR sessions are in-memory: recreating the container invalidates browser sessions, but accounts and data survive. When running with SearXNG (`harbor up ldr searxng`), Harbor points LDR's searxng engine at the internal SearXNG instance via `LDR_SEARCH_ENGINE_WEB_SEARXNG_DEFAULT_PARAMS_INSTANCE_URL` and selects it with `LDR_SEARCH_TOOL=searxng`. ```bash # Docker image to use for this service HARBOR_LDR_IMAGE localdeepresearch/local-deep-research # Docker tag to use for this service # Should be one of the tags for the image above HARBOR_LDR_VERSION latest ```