contributing to screen pipe
August 18, 2026 · View on GitHub
first off, thank you for considering contributing to screen pipe!
btw, we prefer that you don't contribute if you are not using or will use the product and is just there for bounties, thank you.
getting started
before you begin:
- try to run the pre-built app to get familiar with the project
- familiarize yourself with the repository structure and architecture.
- new to contributing? the beginner's onboarding guide walks you from zero to a merged pr step by step (this file is the reference; that one is the walkthrough).
installation and build guide
macos
-
install dependencies:
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh brew install pkg-config ffmpeg jq cmake wget git-lfsInstall Xcode via App Store (or elsewhere) and initialize. Xcode command line tools only installation is insufficent.
sudo xcodebuild -license xcodebuild -runFirstLaunch -
install bun cli:
curl -fsSL https://bun.sh/install | bash -
clone the repository:
git clone https://github.com/screenpipe/screenpipe cd screenpipe -
build the project:
cargo build --release --features metal -
run screenpipe:
./target/release/screenpipe -
build the desktop app:
cd apps/screenpipe-app-tauri bun install bun run build:tauri:dev
sharing downloaded dependencies across worktrees
The desktop prebuild keeps immutable native downloads such as FFmpeg, FFprobe,
the Bun sidecars, MLX metallib, and Windows OpenBLAS in a machine-wide cache.
The default is ~/.cache/screenpipe/native-deps. To put it elsewhere, set the
same absolute path in every worktree environment:
export SCREENPIPE_NATIVE_CACHE_DIR="$HOME/.cache/screenpipe/native-deps"
export SCREENPIPE_FRONTEND_CACHE_DIR="$HOME/.cache/screenpipe/frontend-out"
Cache entries are versioned, validated, and protected by per-artifact locks, so
concurrent worktree builds download each artifact at most once. Set either
variable to off to disable that cache. Keep Cargo's target directory local
to each worktree when running concurrent builds; do not set a shared
CARGO_TARGET_DIR.
windows
These steps build the local NSIS installer (*-setup.exe). The default Tauri
configuration intentionally produces screenpipe - Development, which can live
next to the released app without taking over its identity or updater settings.
-
install winget:
wingetships with App Installer on current Windows 10 and Windows 11. If the command is missing, follow the official Windows Package Manager installation guide.
-
install the required tools:
winget install -e --id Microsoft.VisualStudio.2022.BuildTools --override "--wait --passive --add Microsoft.VisualStudio.Workload.VCTools --includeRecommended" winget install -e --id Rustlang.Rustup winget install -e --id LLVM.LLVM winget install -e --id Kitware.CMake winget install -e --id Git.Git winget install -e --id 7zip.7zip irm https://bun.sh/install.ps1 | iexThe Visual Studio package alone is not enough: Tauri needs the Desktop development with C++ workload. The
--overrideabove installs that workload, including MSVC and a Windows SDK. This is also the workload named in the official Tauri Windows prerequisites.Close and reopen PowerShell after the installers finish so the new commands are on
PATH. -
configure and verify the toolchain:
$llvmBin = 'C:\Program Files\LLVM\bin' $env:LIBCLANG_PATH = $llvmBin [System.Environment]::SetEnvironmentVariable('LIBCLANG_PATH', $llvmBin, 'User') bun --version cargo --version cmake --version if (-not (Test-Path "$env:LIBCLANG_PATH\libclang.dll")) { throw 'libclang.dll not found' } $vswhere = "${env:ProgramFiles(x86)}\Microsoft Visual Studio\Installer\vswhere.exe" if (-not (& $vswhere -latest -products * -requires Microsoft.VisualStudio.Component.VC.Tools.x86.x64 -property installationPath)) { throw 'install the Visual Studio Desktop development with C++ workload' }Setting the user environment variable only affects future terminals, so the
$env:LIBCLANG_PATHassignment is required for the current one. -
clone the project:
git clone https://github.com/screenpipe/screenpipe.git cd screenpipe -
build the Tauri installer:
cd apps/screenpipe-app-tauri bun install --frozen-lockfile bun tauri buildDo not run the repository-root
cargo build --releasefirst unless you also need the standalone CLI. The desktop app is a separate Cargo workspace with its ownsrc-tauri/targetdirectory, so the root build does not warm this build and makes a fresh setup substantially slower. -
find the installer:
Get-ChildItem .\src-tauri\target\release\bundle\nsis\*-setup.exe
what to expect from a fresh windows worktree
- The first
bun tauri buildruns the frontend build andscripts/pre_build.jsautomatically. The prebuild downloads and extracts FFmpeg and OpenBLAS, copies the Bun sidecar and Visual C++ runtime DLLs, then Cargo compiles the native app. You do not need to run the prebuild separately. - Plan for at least 10 GB of free disk space. In a clean x64 worktree the app-local
Cargo target alone can exceed 5 GB;
node_modules, sidecars, and global Cargo caches need additional space. - A fresh Git worktree shares Git objects, the global Cargo registry, and the
machine-wide native/frontend caches, but not
node_modulesorsrc-tauri/target. The native files are restored from cache without another download. Cargo compilation, relinking, and installer compression remain worktree-local and can still take several minutes. failed to get npm global prefixis a non-fatal Bun-discovery fallback when it is immediately followed byfound bunandbun binary copied successfully.- The local development installer is unsigned. Official Windows release builds
are Authenticode-signed in the release workflow, but a local build without the
release certificate is expected to report
NotSigned. Microsoft VC143/144/145 CRT not foundmeans the Visual Studio C++ workload is missing. Alibclang.dllor bindgen error usually meansLIBCLANG_PATHis not set in the current terminal.
linux
-
install dependencies:
sudo apt-get install -y g++ ffmpeg tesseract-ocr cmake libavformat-dev libavfilter-dev libavdevice-dev libssl-dev libtesseract-dev libxdo-dev libsdl2-dev libclang-dev libxtst-dev libpipewire-0.3-dev curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh source ~/.bashrc -
install bun cli:
curl -fsSL https://bun.sh/install | bash -
install vulkan dependencies (optional, for AMD GPU acceleration):
sudo apt-get install -y libvulkan-dev glslc -
clone and build:
git clone https://github.com/screenpipe/screenpipe cd screenpipe cargo build --release -
run the application:
./target/release/screenpipe -
build the desktop app:
sudo apt-get install -y libayatana-appindicator3-1 libayatana-appindicator3-dev librsvg2-dev libwebkit2gtk-4.1-dev cd apps/screenpipe-app-tauri bun install bun tauri build
docker
check out the docker setup here
how can i contribute?
ai-assisted contributions
ai assistance is welcome, but every outside contribution needs an accountable human driver. these rules apply to issues, pull requests, review comments, and replies to maintainers:
- disclose the AI tool used, its autonomy level (
autocomplete,chat, oragent), and exactly what you personally verified. writenonewhen no AI tool was used. - do not use an autonomous agent to submit an outside issue, pull request, or comment. the accountable contributor must personally make the submission.
- write the problem statement, rationale, and replies to maintainers in your own words. AI may help construct tests and reproductions, but it must not impersonate you.
- understand and be able to explain every material change. do not ask a model to answer maintainers on your behalf.
- never claim manual testing you did not perform. include the exact commands and results, plus real end-to-end evidence where applicable.
- provide evidence appropriate to the change:
- UI or behavior changes: a before/after recording.
- backend changes: regression tests and relevant logs or results.
- performance changes: reproducible before/after benchmarks.
- docs, CI, and pure refactors: the relevant checks and an explanation; do not fabricate a video.
- do not submit unsolicited LLM-generated reviews of another contributor's pull request.
use autocomplete when AI only supplied inline completions, chat when you
asked for suggestions or code and chose what to apply, and agent when AI
planned or executed multi-step work or edited files.
maintainers use process labels to identify the concrete next step:
needs-reproduction: provide a reproducible case and exact steps.needs-tests: add the missing regression or coverage tests.needs-evidence: provide the required recording, logs, results, or benchmark.needs-human-explanation: explain the rationale or material changes yourself.needs-scope-approval: get maintainer agreement before continuing the work.
you are welcome to reopen the contribution, or submit a corrected replacement that links the original, after addressing that request.
reopening or resubmitting without addressing the stated request results in a seven-calendar-day contribution cooldown, beginning when a maintainer posts the cooldown notice. during the cooldown, you may not open or reopen issues or pull requests, or submit review comments in this repository. the next submission after that cooldown that again reopens or resubmits without addressing a concrete remediation request results in a repository contribution ban.
enforcement is based on accountable ownership, accepted scope, evidence, and the contributor's ability to explain the work.
reporting bugs
this section guides you through submitting a bug report for screen pipe. following these guidelines helps maintainers and the community understand your report, reproduce the behavior, and find related reports.
- use a clear and descriptive title for the issue to identify the problem.
- describe the exact steps which reproduce the problem in as many details as possible.
- provide specific examples to demonstrate the steps.
suggesting enhancements
this section guides you through submitting an enhancement suggestion for screen pipe, including completely new features and minor improvements to existing functionality.
- use a clear and descriptive title for the issue to identify the suggestion.
- provide a step-by-step description of the suggested enhancement in as many details as possible.
- explain why this enhancement would be useful to most screen pipe users.
pull requests
- fill in the required template
- do not include issue numbers in the pr title
- include screenshots and animated gifs in your pull request whenever possible — but never commit media files to the repo (no screenshots, mockups, or recordings under
docs/,.github/, or the repo root; they bloat git history and are never referenced by the code). host them on github and paste the url into the pr body:- drag-drop (anyone, browser only): drop the file into the pr description — github hosts it as a
https://github.com/user-attachments/...link. needs no repo access, so this is the path for fork-based contributors. - cli / agents (can't drag-drop): attach the file as a release asset and link the url — images render inline whatever repo hosts them. maintainers with write access here:
gh release upload <tag> shot.png(use a throwaway/assetsrelease). from a fork:gh release create media shot.png --repo <you>/screenpipe, then linkhttps://github.com/<you>/screenpipe/releases/download/media/shot.png. any external image host works too.
- drag-drop (anyone, browser only): drop the file into the pr description — github hosts it as a
- follow the rust styleguides.
- end all files with a newline.
styleguides
git commit messages
- use the present tense ("add feature" not "added feature")
- use the imperative mood ("move cursor to..." not "moves cursor to...")
- limit the first line to 72 characters or less
- reference issues and pull requests liberally after the first line
- we use git commit history to generate changelog with AI, so make sure to write relevant commit messages
rust styleguide
all rust code must adhere to rust style guide.
we follow this folder structure.
additional notes
principles
- user fanatic: focus on building what people want and bring maximum value.
- concurrency: channels > mutexes/locks
- simplicity: avoid premature optimization. write code that is easy for humans to read, fast for machines to execute. less is more. optimise for less code, less files, less dependencies, less complexity.
- production: we're building real products
- focus: avoid feature creep. focus on the core functionality and build upon it. focus on the user and their needs.
- use numbers: if you can't measure it, you can't improve it.
- positive-sum
issue and pull request labels
this section lists the labels we use to help us track and manage issues and pull requests.
bug- issues that are bugs.enhancement- issues that are feature requests.documentation- issues or pull requests related to documentation.good first issue- good for newcomers.
running tests
before submitting a pull request, run all the tests to ensure nothing has broken:
cargo test
other hacks
fast desktop UI loop without rebuilding rust
for React/layout work, run the desktop frontend directly in a browser:
cd apps/screenpipe-app-tauri
bun run dev:web
open http://127.0.0.1:1420/home. this uses in-memory Tauri and local-engine
mocks. use bun run dev:web:live to keep the mocked Tauri shell but talk to an
already-running local engine, or bun run dev:tauri for the full native app.
the supported fixtures, API-key setup, and native-validation boundary are in
apps/screenpipe-app-tauri/README.md.
running dev + prod in the same time
one command i keep using to avoid having to kill my main "production" process is:
./target/release/screenpipe record --port 3035 --data-dir "${TMPDIR:-/tmp}/sp"
it will avoid conflicts with the port and avoid conflicts with the data dir
especially useful if you've done new database migrations and want to avoid breaking your previous months of data :)
on macos, prefer $TMPDIR (a per-user temp dir) over /tmp — the system periodically sweeps /tmp and can wipe your dev data-dir mid-session, while $TMPDIR sticks around for the session. the ${TMPDIR:-/tmp} form above uses it when set and falls back to /tmp otherwise.
if you keep prod running 24/7 and want this loop scripted — pull, run dev, put prod back when you're done — scripts/dev does it both ways: the cli on its own isolated dir+port (same idea as above) or the app via bun run dev:tauri. it also documents the apple-silicon build gotchas (full xcode, metal toolchain, pre_build.js). optional; macos only.
macos: keeping screen/mic/accessibility permissions across dev rebuilds
normal development does not package or sign an app. use bun run dev:tauri or
bun run build:tauri:dev; do not add signing flags to either command. only use
apps/screenpipe-app-tauri/scripts/build_macos.sh when a test specifically needs
a stable signed .app identity for tcc permissions. the canonical commands and
the reason for this separation are in
docs/macos-dev-builds.md.
debugging github action
ssh into the runner:
- name: Setup tmate session # HACK
if: matrix.platform == 'windows-latest'
uses: mxschmitt/action-tmate@v3
run locally: https://github.com/nektos/act
debugging memory errors
using tokio-console:
# terminal 1
RUST_LOG="tokio=debug,runtime=debug" RUSTFLAGS="--cfg tokio_unstable" cargo run --bin screenpipe --features debug-console
# terminal 2
cargo install tokio-console
tokio-console
RUSTFLAGS="-Z sanitizer=address" cargo run --bin screenpipe
# or
RUSTFLAGS="-Z sanitizer=leak" cargo run --bin screenpipe
for leak tracking, you can use the following command:
cargo install cargo-instruments
# tracking leaks over 60 minutes time limit
cargo instruments -t Leaks --bin screenpipe --features metal --time-limit 600000 --open
then open the file in target/release/instruments using xcode -> open developer tool -> instruments.
profiling cpu
to investigate "where is screenpipe burning cpu", capture a sampling profile + a cpu/mem time series against the running process. recipes below produce comparable output on macos and windows.
macos (built-in, no install):
PID=$(pgrep -x screenpipe-app || pgrep -x screenpipe | head -1)
# 1) cpu/mem time series — 10s interval for 10min
( echo "ts,pcpu,pmem,rss_mb"
for i in $(seq 1 60); do
read pcpu pmem rss < <(ps -p $PID -o pcpu=,pmem=,rss=)
echo "$(date +%H:%M:%S),$pcpu,$pmem,$((rss/1024))"
sleep 10
done ) > /tmp/sp-cpu.csv
# 2) sampling profile — 10min @ 1ms (call-tree, symbolicated)
sample $PID 600 -file /tmp/sp-sample.txt
aggregate hot leaf functions:
awk '/Call graph/,/Binary Images/' /tmp/sp-sample.txt \
| grep '(in ' | sed -E 's/^[[:space:]+!|:]*//; s/ \(in .*$//' \
| grep -E "^[0-9]+ (screenpipe|AXUIElement|cidre|onnxruntime|sqlite)" \
| awk '{n=\$1+0; \$1=""; sub(/^ +/,"",\$0); if(n>mx[\$0])mx[\$0]=n}
END{for(k in mx) printf "%8d %s\n", mx[k], k}' \
| sort -rn | head -30
windows (samply, install once: cargo install samply):
$sp = (Get-Process screenpipe-app,screenpipe -ErrorAction SilentlyContinue |
Sort-Object WorkingSet64 -Descending | Select-Object -First 1).Id
# 1) cpu/mem time series — 10s interval for 10min
"ts,pcpu,ws_mb,priv_mb" | Out-File $env:TEMP\sp-cpu.csv
1..60 | ForEach-Object {
$p1=Get-Process -Id $sp; $c1=$p1.TotalProcessorTime.TotalSeconds
Start-Sleep 1
$p2=Get-Process -Id $sp; $c2=$p2.TotalProcessorTime.TotalSeconds
$pcpu=[math]::Round(($c2-$c1)*100,1)
"$(Get-Date -Format HH:mm:ss),$pcpu,$([math]::Round($p2.WorkingSet64/1MB)),$([math]::Round($p2.PrivateMemorySize64/1MB))" |
Add-Content $env:TEMP\sp-cpu.csv
Start-Sleep 9
}
# 2) sampling profile — 10min, view at https://profiler.firefox.com
samply record --save-only -o $env:TEMP\sp.json.gz --duration 600 --pid $sp
fallback if samply unavailable: wpr -start CPU -filemode; Start-Sleep 600; wpr -stop /tmp/sp.etl and open the etl in wpa or perfview.
share both files (sp-cpu.csv + sp-sample.txt / sp.json.gz) in the issue when reporting cpu regressions.
benchmarks
cargo bench
creating new migrations
cargo install sqlx-cli
sqlx migrate add <migration_name>
fixing database migration issues
if you encounter errors with missing migrations (e.g., migration XXXXXXXXXX was previously applied but is missing), you can fix it by removing the problematic migration from the SQLite database:
# remove specific migration
sqlite3 ~/.screenpipe/db.sqlite "DELETE FROM _sqlx_migrations WHERE version = XXXXXXXXXX;"
# verify migrations
sqlite3 ~/.screenpipe/db.sqlite "SELECT * FROM _sqlx_migrations;"
# if issues persist, you can take the nuclear approach:
# 1. backup your database
cp ~/.screenpipe/db.sqlite ~/.screenpipe/db.sqlite.backup
# 2. reset migrations table
sqlite3 ~/.screenpipe/db.sqlite "DROP TABLE _sqlx_migrations;"
set up azure ubuntu vm with display & audio
# Set variables
RG_NAME="my-avd-rgg"
LOCATION="westus2"
VM_NAME="ubuntu-avd"
IMAGE="Canonical:0001-com-ubuntu-server-jammy:22_04-lts-gen2:latest"
VM_SIZE="Standard_D2s_v3"
# Create resource group
az group create --name $RG_NAME --location $LOCATION
# Create VM
az vm create \
--resource-group $RG_NAME \
--name $VM_NAME \
--image $IMAGE \
--admin-username azureuser \
--generate-ssh-keys \
--size $VM_SIZE
# Enable RDP
az vm open-port --port 3389 --resource-group $RG_NAME --name $VM_NAME
# Install xrdp, audio, and desktop environment
az vm run-command invoke \
--resource-group $RG_NAME \
--name $VM_NAME \
--command-id RunShellScript \
--scripts "
sudo apt update && sudo apt install -y xrdp ubuntu-desktop pulseaudio
sudo systemctl enable xrdp
sudo adduser xrdp ssl-cert
echo 'startxfce4' | sudo tee /etc/xrdp/startwm.sh
sudo systemctl restart xrdp
sudo ufw allow 3389/tcp
"
# Enable audio redirection
az vm run-command invoke \
--resource-group $RG_NAME \
--name $VM_NAME \
--command-id RunShellScript \
--scripts "
echo 'load-module module-native-protocol-tcp auth-anonymous=1' | sudo tee -a /etc/pulse/default.pa
sudo systemctl restart pulseaudio
"
# Get IP address
IP=$(az vm list-ip-addresses --resource-group $RG_NAME --name $VM_NAME --output table | grep -oE "\b([0-9]{1,3}\.){3}[0-9]{1,3}\b" | head -1)
# Now you can open Microsoft Remote Desktop and use the IP in new PC to connect to it
# RDP into the VM
ssh azureuser@$IP
# Forwarding port to local
ssh -L 13389:localhost:3389 azureuser@$IP
# Changing password
az vm user update \
--resource-group $RG_NAME \
--name $VM_NAME \
--username azureuser \
--password <new-password>
now you can either dev screenpipe on linux or run screenpipe in the cloud that record your local macos. make sure to configure microsoft remote desktop to forward audio
generating openapi.yaml
run screenpipe first and then go to http://localhost:3030/openapi.yaml
open http://localhost:3030/openapi.yaml
we use this for our docs through mintlify, usually the output is broken and i use cursor agent to fix it using ths prompt:
please run this command:
npx @mintlify/scraping@latest openapi-file docs/mintlify/openapi.yaml -o /tmp
and fix the openapi.yaml file and rerun the command until it works
i also run this prompt in agent mode ...
how can i improve this openapi?
mainly want to showcase most useful endpoint in priority and stuff like getting context ...
get rid of semantic search bcs not prod rdy also
@index.ts
make sure to run
npx @mintlify/scraping@latest openapi-file docs/mintlify/openapi.yaml -o /tmp
to validate the openapi.yaml file is valid btw before pushing
join the community
say 👋 in our public discord channel. we discuss how to bring this lib to production, help each other with contributions, personal projects or just hang out ☕.
thank you for contributing to screen pipe! 🎉
testing
testing is one of the toughtest challenge, we love any help improving the testing pipeline before going into production
see TESTING.md for more details on the testing process.
testing paid-plan code paths locally
if you want to exercise paid-plan features (search filters, cloud sync, etc.) without a subscription, you can use the following environment variables during local development:
| to test... | set this environment variable |
|---|---|
| all paid features unlocked (treats user as entitled) | NEXT_PUBLIC_SCREENPIPE_DEV_BILLING_BYPASS=true |
| the paywall/lock screen (forces entitlement check) | NEXT_PUBLIC_SCREENPIPE_FORCE_BILLING_GATE=true |
| e2e test bypass | NEXT_PUBLIC_SCREENPIPE_E2E=true |
| dev-build bypass | TAURI_ENV_DEBUG=true |
| skip interactive onboarding | SCREENPIPE_SKIP_ONBOARDING=1 (or true / yes) |
| seed e2e tests (e.g. onboarding) | SCREENPIPE_E2E_SEED=onboarding |
You can also force the billing gate in a bypassed dev environment by setting the screenpipe_e2e_force_billing_gate key in localStorage to "1".