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Browse free open source Go Task Managers and projects below. Use the toggles on the left to filter open source Go Task Managers by OS, license, language, programming language, and project status.

  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    The database for AI-powered applications.

    MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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  • Unimus makes Network Automation and Configuration Management easy. Icon
    Unimus makes Network Automation and Configuration Management easy.

    Deploying Unimus to manage your entire network requires only minutes, allowing for rapid deployment without headaches.

    We aim to make automation, disaster recovery, change management and configuration auditing painless and affordable for a network of any size.
    Learn More
  • 1
    Hatchet

    Hatchet

    A distributed, fault-tolerant task queue

    Hatchet replaces difficult to manage legacy queues or pub/sub systems so you can design durable workloads that recover from failure and solve for problems like concurrency, fairness, and rate limiting. Instead of managing your own task queue or pub/sub system, you can use Hatchet to distribute your functions between a set of workers with minimal configuration or infrastructure:
    Downloads: 4 This Week
    Last Update:
    See Project
  • 2
    Beads Viewer

    Beads Viewer

    Task management system for coding agents

    Beads Viewer is a visualization tool designed to display, inspect, and interact with “bead plots,” graphical representations often used in statistical analysis, time series exploration, or clustering visualizations where data points are represented as beads on strands or axes to emphasize patterns and relationships. The viewer provides an intuitive graphical interface that automatically renders bead plots from structured data inputs, enabling users to observe trends at a glance, highlight clusters, or drill down into individual sequences. It supports dynamic interactions such as zooming, filtering by criteria, selecting subgroups, and exporting views for reports or slides. Because bead plots can encode a significant amount of information in compact visuals, Beads Viewer includes customizable styling options — such as coloring by category, adjusting bead size and spacing, and toggling axis representations — to help tailor visuals to specific analytical needs.
    Downloads: 2 This Week
    Last Update:
    See Project
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