fatedier/frpA fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.
frp is an open source project with its ongoing development made possible entirely by the support of our awesome sponsors. If you'd like to join them, please consider sponsoring frp's development.
If you're looking for a meeting recording API, consider checking out Recall.ai,
an API that records Zoom, Google Meet, Microsoft Teams, in-person meetings, and more.
The complete IDE crafted for professional Go developers
frp is a fast reverse proxy that allows you to expose a local server located behind a NAT or firewall to the Internet. It currently supports TCP and UDP, as well as HTTP and HTTPS protocols, enabling requests to be forwarded to internal services via domain name.
frp also offers a P2P connect mode.
frp is currently under development. You can try the latest release version in the master branch, or use the dev branch to access the version currently in development.
We are currently working on version 2 and attempting to perform some code refactoring and improvements. However, please note that it will not be compatible with version 1.
We will transition from version 0 to version 1 at the appropriate time and will only accept bug fixes and improvements, rather than big feature requests.
The complexity and difficulty of the v2 version are much higher than anticipated. I can only work on its development during fragmented time periods, and the constant interruptions disrupt productivity significantly. Given this situation, we will continue to optimize and iterate on the current version until we have more free time to proceed with the major version overhaul.
The concept behind v2 is based on my years of experience and reflection in the cloud-native domain, particularly in K8s and ServiceMesh. Its core is a modernized four-layer and seven-layer proxy, similar to envoy. This proxy itself is highly scalable, not only capable of implementing the functionality of intranet penetration but also applicable to various other domains. Building upon this highly scalable core, we aim to implement all the capabilities of frp v1 while also addressing the functionalities that were previously unachievable or difficult to implement in an elegant manner. Furthermore, we will maintain efficient development and iteration capabilities.
