# Pkg Proxy Cache / Automatic Mirror of installed packages

**URL:** <https://discourse.julialang.org/t/pkg-proxy-cache-automatic-mirror-of-installed-packages/26832>\
**Category:** General Usage\
**Tags:** question\
**Created:** [July 26, 2019, 7:25am UTC](https://discourse.julialang.org/t/pkg-proxy-cache-automatic-mirror-of-installed-packages/26832 "2019-07-26T07:25:58Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![altre](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/altre/32/17036_2.png) [@altre](https://discourse.julialang.org/u/altre)\
**Post date:** [July 26, 2019, 7:25am UTC](https://discourse.julialang.org/t/pkg-proxy-cache-automatic-mirror-of-installed-packages/26832/1 "2019-07-26T07:25:58Z")

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We use Julia in a commercial context. The more productive things get, the more paranoid we are. Julia relies on the github repository of a dependency staying where it is. If it disappears, the package can not be installed. See [here](https://discourse.julialang.org/t/juliastats-statsmodels-package-missing/23880).  
Up to now, I’ve only found projects that mirror all Julia packages which (see this [thread](https://discourse.julialang.org/t/ann-unofficialjuliamirror-mirror-of-all-registered-julia-packages/15983).)

I’m looking for a “caching proxy” solution, i.e. Pkg.add looks in our registry for the version and package you want and if not there gets it from github, mirrors it into our registry and installs it on your machine.

For languages such as Java, Python, R or Javascript we can use something like [Nexus](https://github.com/sonatype-nexus-community).  
Is there anything similar for Julia yet?

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**Author:** ![dilumaluthge](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/dilumaluthge/32/29283_2.png) [@dilumaluthge](https://discourse.julialang.org/u/dilumaluthge)\
**Post date:** [July 26, 2019, 5:39pm UTC](https://discourse.julialang.org/t/pkg-proxy-cache-automatic-mirror-of-installed-packages/26832/2 "2019-07-26T17:39:45Z")

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I think that [JuliaTeam](https://juliacomputing.com/products/juliateam) is probably going to be the answer here.