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  1. Home | Telepresence

    Telepresence consists of two core architecture components: the client-side telepresence binary (CLI on your workstation) and the cluster-side traffic-manager and traffic-agent (on the remote Kubernetes …

  2. Quick start | Telepresence

    Telepresence is an open source tool that enables you to set up remote development environments for Kubernetes where you can still use all of your favorite local tools like IDEs, debuggers, and profilers.

  3. Install client | Telepresence

    Install the Telepresence client on your workstation by running the commands below for your OS.

  4. Host a cluster in Docker or a VM | Telepresence

    Use Telepresence to engage with services in a cluster running in a hosted docker container or virtual machine.

  5. Code and debug an application locally | Telepresence

    Start using Telepresence in your own environment. Follow these steps to work locally with cluster applications.

  6. Making the remote local: Faster feedback ... - telepresence.io

    Telepresence is an open source tool that lets developers code and test microservices locally against a remote Kubernetes cluster. Telepresence facilitates more efficient development workflows while …

  7. Telepresence 2.21

    Dec 10, 2024 · Telepresence 2.21.0 has been released, and here is a walkthrough of its many new features, such as automatic VPN conflict avoidance, the new telepresence ingest command, and the …

  8. Blog | Telepresence

    Aug 25, 2025 · Telepresence 2.21.0 has been released, and here is a walkthrough of its many new features, such as automatic VPN conflict avoidance, the new telepresence ingest command, and the …

  9. Community - Telepresence

    Join the Community Developers worldwide are contributing to Telepresence. We’re building a vibrant community of contributors and related projects. We welcome any and all suggestions, new features, …

  10. About - Telepresence

    Telepresence is an open source tool for Kubernetes application developers that lets you run a single service locally while connecting that service to a remote Kubernetes cluster.