Planeops allows users to reproduce, observe, and govern a personal AI setup using three conceptual planes. It provides declarative configuration, drift detection and reconciliation, and integrates with the Model Context Protocol (MCP). Designed for developers managing local or self-hosted AI tooling and dotfiles.
In the Other AI space, planeops takes a focused approach. It focuses on managing configuration drift and reproducibility in a personal AI stack. It is built as an open-source project for developers. planeops is open source under the Apache-2.0 license. planeops is available on the command line, and it can be self-hosted.
Behind planeops is Alberto, and it first shipped in 2026. The project is developed in the open on GitHub with 93 commits in the last 90 days. Among its 5 catalogued features are Declarative Config, Drift Detection, and reconciliation. It exposes integrations via an MCP server and a public API.
Summary written by a language model from the project’s public pages.
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