LmCast :: Stay tuned in

Show HN: Kinesis – Control your Mac with the Meta Neural Band

Recorded: Sept. 14, 2026, 1 p.m.

Original Summarized

GitHub - callbacked/kinesis: native macos controls for the meta neural band · GitHub

Skip to content

Navigation MenuSign inAppearance settingsPlatformAI CODE CREATIONGitHub CopilotWrite better code with AIGitHub Copilot appDirect agents from issue to mergeMCP RegistryIntegrate external toolsDEVELOPER WORKFLOWSActionsAutomate any workflowCodespacesInstant dev environmentsIssuesPlan and track workCode ReviewManage code changesCode QualityEnforce quality at mergeAPPLICATION SECURITYGitHub Advanced SecurityFind and fix vulnerabilitiesCode securitySecure your code as you buildSecret protectionStop leaks before they startEXPLOREWhy GitHubDocumentationBlogChangelogMarketplaceView all featuresSolutionsBY COMPANY SIZEEnterprisesSmall and medium teamsStartupsNonprofitsBY USE CASEApp ModernizationDevSecOpsDevOpsCI/CDView all use casesBY INDUSTRYHealthcareFinancial servicesManufacturingGovernmentView all industriesView all solutionsResourcesEXPLORE BY TOPICAISoftware DevelopmentDevOpsSecurityView all topicsEXPLORE BY TYPECustomer storiesEvents & webinarsEbooks & reportsBusiness insightsGitHub SkillsSUPPORT & SERVICESDocumentationCustomer supportCommunity forumTrust centerPartnersView all resourcesOpen SourceCOMMUNITYGitHub SponsorsFund open source developersPROGRAMSSecurity LabMaintainer CommunityGitHub StarsArchive ProgramREPOSITORIESTopicsTrendingCollectionsEnterpriseENTERPRISE SOLUTIONSEnterprise platformAI-powered developer platformAVAILABLE ADD-ONSGitHub Advanced SecurityEnterprise-grade security featuresCopilot for BusinessEnterprise-grade AI featuresPremium SupportEnterprise-grade 24/7 supportPricingSearch/Sign inSign upAppearance settings

You signed in with another tab or window. Reload to refresh your session.
You signed out in another tab or window. Reload to refresh your session.
You switched accounts on another tab or window. Reload to refresh your session.

Dismiss alert

callbacked

/

kinesis

Public

Notifications
You must be signed in to change notification settings

Fork
1

Star
21

Code

Issues
0

Pull requests
0

Actions

Projects

Security and quality
0

Insights

Additional navigation options

Code

Issues

Pull requests

Actions

Projects

Security and quality

Insights

mainBranchesTagsGo to fileCodeOpen more actions menuLatest commit History7 Commits7 CommitsFolders and filesNameNameLast commit messageLast commit datePackagingPackaging  SourcesSources  TestsTests  designdesign  docsdocs  scriptsscripts  .gitignore.gitignore  Package.swiftPackage.swift  README.mdREADME.md  View all filesRepository files navigationREADMEMore items

kinesis
use your meta neural band to control your mac

kinesis.mp4

swipe between desktops, open mission control, control your music, and pinch + turn for volume or brightness. pick your own mappings, practice in setup, then keep it in the menu bar.
built on some tinkering i did with astra in neural-band-poc (feel free to go through that repo to do your own thing), so naturally i wanted to harness it to make it do something useful
run it
be sure to unpair your band from the meta app before you get started
download kinesis, open the dmg, and drag it into applications. needs macos 14+ and a neural band. works on apple silicon and intel.
set your band in pairing mode, connect, and allow bluetooth + accessibility when prompted. enable controls and you're in.
build it
xcode with swift 6.
git clone https://github.com/callbacked/kinesis.git
cd kinesis
./scripts/build.sh
open dist/Kinesis.app
quit kinesis before rebuilding.
Aboutnative macos controls for the meta neural bandTopicsemggesture-controlhuman-computer-interactionwearablesResourcesReadmeActivityStars21 starsWatchers0 watchingForks1 forkReport repositoryReleasesPackagesContributorsLanguages

Footer

© 2026 GitHub, Inc.

Footer navigation

Terms

Privacy

Security

Status

Community

Docs

Contact

Manage cookies

Do not share my personal information

You can’t perform that action at this time.

The project kinesis focuses on creating native macOS controls for the Meta Neural Band, enabling users to interact with their operating system using the wearable device. The goal of the project is to harness the neural band to manage various system functions, including performing actions such as swiping between desktops, opening mission control, controlling music playback, and adjusting volume or brightness through pinch and turn gestures. The development originated from tinkering with astra in a previous neural-band proof-of-concept repository, motivating the creation of a useful application based on these capabilities.

The process for implementing kinesis involves several technical steps. The application requires specific hardware and operating system prerequisites, necessitating macOS version 14 or later and the use of a neural band. The software is designed to be compatible with both Apple silicon and Intel architectures. To initiate the setup, the user must first unpair the band from the Meta application before proceeding. The process then involves downloading the kinesis application package, opening the dmg file, and placing the application into the Applications folder.

The subsequent development phase involves setting up the hardware interaction parameters. This requires putting the neural band into pairing mode, connecting it to the computer, and granting necessary permissions for Bluetooth and accessibility features when prompted by the system. Once these initial controls are established, the core development involves coding the application. The project was implemented using Xcode with the Swift 6 programming language. The source code is managed via Git, with the repository located at callbacked/kinesis. The build process is automated using a provided script, which handles the cloning of the repository and executing the build shell script. Following the build, the compiled application is opened, and it is necessary to quit the application before embarking on further rebuilding cycles. This methodology emphasizes building the application layers necessary to interface the physical input from the band with the macOS environment.