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8. Guides
av edited this page Aug 2, 2026
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Practical guides for building and operating local AI setups with Harbor. These pages focus on common workflows that combine multiple Harbor services rather than documenting a single service in isolation.
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Local LLM Stack with Docker Compose
Build a local LLM stack with Harbor's Ollama and Open WebUI services, Docker Compose orchestration, and optional cross-service additions such as SearXNG, Speaches, and ComfyUI. -
Ollama + Open WebUI + SearXNG Local Web RAG Setup
Add self-hosted web search to an Ollama and Open WebUI stack with Harbor's SearXNG integration. -
Run Coding Agents with Local LLMs
Use Harbor Launch to run Codex, Claude Code, OpenCode, and other host coding tools against local OpenAI-compatible backends. -
Harbor vs Manual Docker Compose for Local AI
Compare a manual Docker Compose local AI stack with Harbor's service selection, cross-service integrations, configuration, CLI/App workflows, Launch adapters, andharbor eject. -
OpenAI-Compatible Local LLM Backends
Choose and swap Harbor backends such as Ollama, llama.cpp, vLLM, Docker Model Runner, MLX, and oMLX for local OpenAI-compatible frontends, clients, and Harbor Launch workflows. -
Self-Hosted AI Stack for Developers
Plan a private AI stack with Harbor across chat, coding, RAG/search, tools, image generation, voice, workflows, benchmarks, and observability. -
Run Hermes Agent with Harbor
Run Hermes Agent with Harbor local LLM backends throughharbor launchor the containerized Hermes service/API server. -
Run MLX on Apple Silicon with Harbor: Local LLMs and HuggingFace Models
Install and run Apple's MLX framework on M-series Macs, discover and pull optimized models from HuggingFace (mlx-community), and integrate MLX into full Harbor stacks with Open WebUI, SearXNG, and coding agents. -
Docker Model Runner Local LLMs with Harbor on Mac, Linux, and Windows
Use Docker's official Model Runner as a backend on every supported platform. Find GGUF models viadocker model search --source huggingface, pull with Harbor's unified interface, and run complete local LLM workflows.