PeARS (version Orchard) is a search engine that you can install and run locally from your browser. It allows you to 'index' pages (i.e. to produce a computer-readable representation of the pages' content, essential to the search process), and to search pages that you or your friends have indexed. Search happens entirely on your machine, meaning that no one knows what you are searching and when.

One feature of PeARS Orchard is the ability to convert a small index into a greyish, unassuming picture, called a 'snow pod'. Snow pods are the mini-weapons of the indexing revolution. They can easily be shared with others by email, on social media, or through any other means, so you can be your very own search engine, for yourself and for your friends.

The fully-fledged PeARS system (Peer-to-peer Agent for Reciprocated Search) is supposed to be completely distributed. You can imagine it as an 'automated' version of Phase 1, where you don't have to go and hunt for pods yourself. Your PeARS install will automatically find them on other users' systems and connect to them. We are still working on this phase of the project.

NB: we have some instructions for Windows users on the wiki.

git clone https://github.com/PeARSearch/PeARS-orchard.git

If you haven't yet set up virtualenv on your machine, please install it via pip:

sudo apt-get update

sudo apt-get install python3-setuptools

sudo apt-get install python3-pip

sudo pip3 install virtualenv

Then run:

virtualenv -p python3 env && source env/bin/activate

Then change into the PeARS-orchard directory:

cd PeARS-orchard

pip3 install -r requirements.txt

Head over to the app/static/spaces directory and unzip english.dm.zip.

cd app/static/spaces

unzip english.dm.zip

In the root of the repo, run:

python3 run.py

Now, go to your browser at localhost:8080. You should see the search page for PeARS. You don't have any pages indexed yet, so go to the F.A.Q. page (link at the top of the page) and follow the short instructions to get you going!