2 Integrations with Mojo

View a list of Mojo integrations and software that integrates with Mojo below. Compare the best Mojo integrations as well as features, ratings, user reviews, and pricing of software that integrates with Mojo. Here are the current Mojo integrations in 2026:

  • 1
    Koi Editor

    Koi Editor

    Hackerman, Inc.

    (Koi Editor is now Peeknext) Peeknext is a professional text and code editor for macOS, built around three principles: fast, local, and scriptable. Designed for low-latency editing and large-file performance, Peeknext includes multi-cursor editing, synchronized views, project-wide search, context-aware autocomplete, syntax highlighting for 30+ languages, code folding, file outlines, customizable themes and keybindings, and extensive editing commands. Peeknext requires no account, includes no telemetry, and works entirely offline. Configuration and keybindings use plain text files, while custom editor commands can be written in Python. Optional AI features connect to local models through Ollama for code completion and inline assistance. Built for Apple Silicon Macs, Peeknext combines a high-performance editing core with native macOS integration.
    Starting Price: $195, one-time
  • 2
    Modular

    Modular

    Modular

    Modular is a unified AI inference platform designed to run models efficiently across diverse hardware environments. It enables developers to deploy and scale AI workloads on GPUs, CPUs, and ASICs using a single, integrated stack. The platform optimizes performance from low-level GPU kernels to high-level API endpoints. Modular supports both managed cloud deployments and self-hosted environments, offering flexibility for different use cases. It allows users to run open-source or custom models with high performance and cost efficiency. With features like hardware portability and dynamic scaling, it reduces vendor lock-in and infrastructure complexity. By combining performance optimization and deployment simplicity, Modular helps teams build and run AI applications at scale.
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