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.

  • Host LLMs in Production With On-Demand GPUs Icon
    Host LLMs in Production With On-Demand GPUs

    NVIDIA L4 GPUs. 5-second cold starts. Scale to zero when idle.

    Deploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
    Try Free
  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

    General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

    Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
    Try Free
  • 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: 7 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: 0 This Week
    Last Update:
    See Project
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