Hands-on tested · Updated 2026
Completely free - no payment needed.
Where it falls short
Functionality is relatively limited
Harbor is a powerful tool that allows users to run LLM backends, APIs, frontends, and services with a single command. Its core feature lies in simplifying the deployment process of machine learning models, enabling developers to focus more on the model itself rather than the infrastructure setup. In actual use, Harbor is easy to operate and suitable for quickly setting up and testing machine learning applications. It is a good choice for both machine learning beginners and professionals. In summary,...
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Add to WorkflowFrom registration to actual use - step by step
Harbor is an open-source LLM gateway for managing multiple AI models. Clone the repo.
View GitHub RepoEnsure Node.js and Docker are installed. Run `npm install` to install dependencies.
Use Node 18+ to avoid compatibility issues.
Add API keys for OpenAI, Anthropic, local models in config. Harbor exposes a unified OpenAI-compatible API.
Configure routing rules to auto-select optimal models by cost or performance.
Run `docker-compose up` to start. Point your app to Harbor API endpoint.
Enable request logging and cost tracking to monitor model usage.
Suitable for quick setup and testing of machine learning models, especially for deployment and testing of LLMs. ## How to Use 1. Visit the Harbor website to download the installation package 2. Follow the instructions to install 3. Run the LLM service using the command line 4. Configure relevant parameters
Harbor is a free tool. Visit the official website for detailed pricing.
View pricing →| Tool | Rating | Pricing | Best For |
|---|---|---|---|
| Harbor ★ | 0/5 | Free | AI Model |
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