LocoPuente is a local-first AI orchestrator designed to run a comprehensive AI platform directly on a user's own hardware. The tool assembles an integrated stack of AI services—including chat, image processing, speech, search, and notebooks—using a single configuration file. Its approach emphasizes privacy, as all inference and data remain on the user's machine, ensuring that information does not leave local infrastructure.
The platform automates the setup process by detecting available hardware such as CPU, RAM, and GPUs, then proposing a set of AI services tailored to those resources. LocoPuente manages containers, GPUs, models, and a reverse proxy, providing users with accessible URLs for each service. The installation and deployment process is handled through a series of command-line steps: initializing hardware detection and configuration, installing necessary Docker images and native components (including Ollama, models, and ComfyUI), and launching the full stack with a portal interface. yml file, enabling reproducibility and easy adjustments.
LocoPuente is self-hosted and can operate on modest consumer hardware, requiring only a single GPU to begin. Privacy is enforced by architectural design, with all processing and data retention confined to the user's machine. Users have the option to use their own reverse proxy or the included Caddy service, which provides automatic TLS support. The platform is positioned as an alternative to cloud-based AI services that meter usage and transmit data externally, instead offering a one-time setup cost with no ongoing metered charges.
The tool is delivered as a Python package, installable via pip, and is initiated and managed through the command-line interface. LocoPuente is a project of the LocoLabo initiative. Its local-first design and focus on privacy make it suitable for individuals or organizations seeking full control over their AI infrastructure without reliance on external cloud providers.
In the Infrastructure & Backend space, locopuente takes a focused approach. It focuses on orchestrating and managing local AI model stacks with privacy and flexibility. It is built as an open-source project for AI developers and privacy-conscious users. locopuente is open source under the MIT license. locopuente is available on the web and the command line, and it can be self-hosted.
Michael Borck builds and maintains locopuente, and the product first shipped in 2026. Development happens publicly on GitHub with 83 commits in the last 90 days. Key capabilities include AI stack orchestration, local deployment, and privacy-first.
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