I just recently stumbled on this and I've never heard anyone here that uses it. It looks quite interesting. A dash for your Proxmox server.

The live demo looks jammy: https://demo.proxcenter.io/

The docs look quite comprehensive: https://docs.proxcenter.io/

Github: https://github.com/adminsyspro/proxcenter-ui

Runs in a Docker container. There is an community version and an enterprise version. I think I'm going to bump this up the Projects list to the top.

For the longest time, I've been trying to figure out a way to "survive" in this new AI age without having to fork over a ton of money just to keep up. I've tried using local models via Ollama, and while they definitely work to a degree, they're (unsurprisingly) not as good as the big model providers.

The local models tend to

• Forget what they're doing
• Struggle to break larger tasks into smaller ones
• Lose focus easily
• Have weaker coding performance
• Drift over longer sessions

So to improve the reliability of fully local, smaller models (and to keep all my data local and in my own network), I created Loki.

It's a local-first, batteries-included command line tool and runtime for building and running LLM workflows locally. It's model agnostic and supports things like

• Agents and agent delegation
• Roles/personas
• MCP Servers
• RAG
• Custom tools
• Macros
• Workflow Scripting

A lot of the features it supports are specifically designed to compensate for weaknesses in smaller local models. For example:

• Auto continuation to keep pushing models to completion instead of stopping halfway through problems
• Parallel agent delegation so tasks can be split into smaller, focused scopes
• Workflow-based execution ("If this, do that") for building more reliable and repeatable automations

It also supports the major cloud providers if you want them (which definitely helped while testing 😄), but my long-term goal is simple:

Get as close as possible to Claude Code-style reliability using fully local models.

I'm always open to feedback, questions, or ideas.

Repo: https://github.com/Dark-Alex-17/loki

The main reason I started implementing NearLink was simple: I was tired of constantly syncing data between my own devices through traditional server-based flows.

For a messenger focused on privacy, routing Favorites through a cloud backend felt wrong.

How NearLink works

NearLink allows you to sync your Favorites (notes and saved chats) directly between devices.

My personal use cases:

• Fast transfer of images, videos, and files between devices over LAN
• Synchronization of Favorites (saved chats and notes)
• QR-based local authorization between devices
• Faster testing workflow without creating separate accounts for every device

I intentionally limited this system to local networks only in order to reduce unnecessary external attack surface.

Other updates in v1.6-beta

• NearLink Authentication
  QR-based login designed for local network environments

• Per-chat locking
  Chats with individual passwords

Release

Full release notes and binaries are available on GitHub:

https://github.com/wardcore-dev/onyx/releases/tag/v1.6-beta

Community

If you're already using ONYX, you can join the official news channel inside the app using this token:

12e01467-c154-447b-84f8-133ae76684a1

Feedback is welcome.

I've been thinking about this more and more. According to the sidebar, this community is "A place to share alternatives to popular online services that can be self-hosted without giving up privacy or locking you into a service you don’t control." Based on that I don't think Plex qualifies.

Privacy: Plex clearly records the metadata of what you watch. When I used it, it would send me a report by email of what my "friends" were watching. Even with that turned off, their services still track telemetry.

Control: Plex has all of it. They can (and do) make unilateral changes to the service, how authentication works, where you can run it, etc.

So I ask, when you are hosting something that is entirely dependent on a commercial entity to function, is Plex really selfhosting in the spirit of this community?

Hey lemmy, I got the app I built for my Frigate instance to a place where I think it's good enough to share. It's currently in testing on the play store. It's a fully native android app built in flutter. DM me your email if you'd like to be added as a tester.

• Live viewing
• Live camera grid
• Sub-stream switching
• Pinch-zoom and pan (with double tap to fullscreen) on all videos (recorded or live)
• Detections and reviews
• Recent detections
• Events feed
• Reviews feed with grouped detection clips
• Recordings
• Timeline scrubbing w/ previews
• Tuned for mobile networks
• Export and download clips directly to your device or share sheet
• Push notifications via UnifiedPush (ntfy and other distributors)
• PTZ controls for supported cameras
• Birdseye view when enabled on the server
• System stats
• Live logs viewer
• Works with HTTP, HTTPS, or HTTPS with self-signed certificates
• Widgets for home screen

link for mobile: https://play.google.com/store/apps/details?id=me.tinius.albatross

link for desktop: https://play.google.com/apps/testing/me.tinius.albatross

Hello self-hosters,

I have been building Journiv, a self-hosted, privacy-first journaling app for people who want to own their personal memories, journals, mood/activity tracking, photos, and related life data.

A few months ago I added Immich integration, which allows you to browse your Immich library from Journiv and attach photos/videos directly to journal entries. That integration was focused on connecting self-hosted photos and videos to the written story behind them.

I just added the next piece: People Tracking with optional Immich face sync.

The idea is simple:

Immich is great at preserving the photo/video itself. Journiv is meant to preserve the story around it. Now Journiv can also help track who was part of that memory.

With the new People feature, you can create and manage important people in your life family, friends, kids, parents, coworkers, etc. Attach them to journal entries. Later, you can filter your timeline by a person and see the memories you’ve captured with them over time.

If you also use Immich, Journiv can use Immich’s people/face data to make this easier.

When you attach an Immich photo to a Journiv entry, Journiv can check the Immich people/faces associated with that asset. If those Immich people are linked to people you track in Journiv, Journiv can automatically suggest or add them to the journal entry.

The goal is not just to store photos or journal text separately, but to connect them together into a more meaningful personal archive: what happened, when it happened, where it happened, and who was part of it.

Would love feedback from the self-hosted community on this feature.

• Watch the demo video
• Blog post with more context
• Get started: Install Journiv
• Immich integration docs
• Release notes
• Demo images from Pexels

I currently run all my self-hosted apps either on Podman in a VM or in LXCs on Proxmox. For hardware, I'm using a Chinese-made mini computer with an Intel N150 and 16GB of DDR5 RAM that I bought before the whole AI hype started. I also have a Synology NAS that I use mainly for media and photo storage.

I've been thinking about tinkering with Kubernetes in my homelab for a while now (I already use it extensively at work, so I'm quite familiar with it), and I started looking around for used hardware to use as bare metal nodes. Nothing fancy—I'm looking for 1 or 2 mini servers or SFF with at least 16GB of memory and a decent CPU (4–6 cores). But with current prices, even decently priced used hardware (~200–250€) is quite difficult to find in Europe, and most of it is HP stuff with Lenovo being a rare breed around here. I won't even get started on newly bought hardware...

If you've bought hardware in this market recently, how did it go for you? Or are most of you holding out for now, waiting for better times?

Hey everyone,

We've built an open-source, privacy-preserving alternative to Ring cameras using a Raspberry Pi Zero 2W (called Secluso). It uses end-to-end encryption to send videos from the camera to a mobile app, which is available both in Google Play Store and Apple App Store. We also support Obtainium for people that do not wish to use Google Play.

We've put in a lot of effort to make it easy to set up! You can set up our camera on your own Pi in less than 5 minutes with minimal technical expertise using our easy-to-use GUI deploy tool. Here are our setup guide and open source release.

The image shows a Pi in an official Raspberry Pi enclosure that you can use for your camera. We've also been working on a HAT for the Pi to add night vision, audio, temperature monitoring for safety, all in a compact form factor. You can see the HAT and an enclosure for the whole camera in the photo.

We've been working on this for almost 2 years now, and we look forward to we look forward to seeing what you all think! If you're interested in our efforts in general outside of DIY, our main website with our pre-built offering is here: click to see our website

I currently have a secondary pool (with raidz2) that I was originally going to use for my important documents, such as storage for Paperless-ngx, as raidz offers corruption detection and repair. The pool is encrypted.

However, I'm concerned about rebuild times (it's a pool of 4 22TB drives). Is btrfs a better choice for this use case, or should I just go with raidz like I originally planned?

Edit: I should have mentioned that I already have 4-3-2 backups configured - I'm primarily interested in the "self-healing" aspect of ZFS so that I don't have to recover from backups unless necessary, and to resolve corruption on the fly without me having to notice that a file is corrupt.

GitHub: https://github.com/TechSquidTV/Cliparr

Major Updates:

• HLS Streaming (Now uses the media server's transcoded stream as the default source, which better matches expected behavior)
• Subtitle Burn-in. Use any font on your system to overlay subtitles on the output. Subtitles come from your media server; ensure to download or select them.

I decided to try Nextcloud after not using it for 10 years, and after testing it a bit I find myself turned off by the email (and other profile options) being visible to "everyone" by default.

I found how to disable the profile by default : email still visible Hide the email in profile settings of user manualy : still visible completely remove email : no notifications

In addition to that, from what I understand, even if I change the default setting to private the other profile options, they are automatically shared with anyone you connect to the Talk app?? I was really hoping to try it out, but that's another turnoff.

It does not seem to be a problem to most users so they have not done anything since 2019 about it (from the github issues and forum threads I found). It is an instant turnoff to me, I am questionning using it only for myself and use something else to share with family.... if you have a solution for the user info privacy, I am all ears.

I just want a multiuser file sharing app that works with authentik and works with android/windows/linux. Bonus points if it does not encrypt files on the server.

Edit to add : I tried seafile and it kept going down and corrupted a lot of files after an unexpected server shutdown. It shared the corruption to all the local files on every app/pc I had it shared to. Never figured out a way to restore the healthy files from a backup (that's a me problem but still not a fun experience). Thankfully I was the only user, I try to test out the apps a few months/year before sharing.

TLDR : what alternatives do you have to nextcloud or seafile ?

Assuming the user will not be connecting over vpn, but is both remote and non-technical, how would you expose Jellyfin to them securely?

If you haven't seen it yet, we recently made the announcement that starting July 1, 2026, the price of "Jellyfin Premium+ One Super Unlimited (with Ads)" will increase to $0.00 USD*. There has been a lot of enthusiasm regarding charge backs, and we're simply blown away by the community's response.

As we've had a high volume of inquiries, I'd ask if you could please wait until I'm off the support email shift to reach out about this issue. I've attached our schedule so you'll know when it is safe to reach out.

Thanks, and happy streaming!

*Example price in USD. Exact pricing in other currencies may vary.

For the past few years I’ve been building and maintaining website/blog at www.pragmaticcoding.ca. It has mostly about programming, and more specifically it’s ended up having a lot of content about JavaFX with Kotlin.

Lately, I’ve been spending all of my time building out my own homelab and self-hosting the services that I need. I’ve got a little stack of M910Q’s running in a Proxmox cluster with an HP T740 running OPNSense.

One of my big successes so far has been to replace my Google Home devices streaming music all over the house with a SnapCast network using RaspberryPi Zeros as the streaming clients. I've been working on documenting how to do this, and the result is a three part series that explains what SnapCast is, how it works and how to combine it with Mopidy to stream music around the house.

I have to admit that this one got away from me. It was all one article until I noticed that Jekyll was estimating it at oven 1/2 hour to read, which is way, way too long. So it became three parts, which also gives me the opportunity to release it over time, and make sure that each part is nice and clean before I post it live. Part I is an introduction to SnapCast and explains how it works and how to set up a SnapCast server in Proxmox.

If you're interested, take a read and let me know what you think.

Honest question, because I know multiple people who are not looking to jump ship since they already have the Plex Pass.

I wanted to shared my enthusiasm, which makes me feel like a little boy (despite me being 50+) fascinated by how such complex systems can be managed so easily by novices. I started using Proxmox recently. I had a machine running one VM with various docker images installed. But NVMe was tiny. So I setup another node and got it to share the same NFS share on the NAS, where I had saved full backups of the VM. Once added the NFS share to the new node (with a bigger ZFS local partition) I simply restored the VM from the NFS share that had been backed up from the original node. It seemlessly imported and started. Then I cloned on the new node so that I could get it on the new ZFS partition. Now the next task is to get a bigger NVMe on the original machine, install Proxmox from scratch, and add to cluster so that it shared the backup NFS share. I just then need to understand how to get HA up and running so that VMs are always synced flawlessly. Proxmox is super brilliant. I feel like I have a data center at home :-) I could not imagine this system was so flexible and relatively easy to use. The people that deliver and contribute to this stuf are super cool. A couple of proxmox nodes, a Truenas scale NAS and a good backup strategy and your data is really safe and rock solid ... I hope :-)

cross-posted from: https://discuss.online/post/40125235

Picked up an ix500 scansnap and wondering about suggested workflows for going paperless. My intention is to scan a bunch of documents, but haven't delved deeply into how this will actually flow on the software level. I know I'll need to OCR the scanned documents, and my base setup is:

• Pi with SSD storage running compose version of Paperless-ngx to filesystem mounted folders.
  • Folders can also be accessed over Samba
• ix500 statically assigned over wifi as network scanner.
• A literal filing cabinet, for things I should keep physically.
• Ubuntu computer for browsing

I feel a bit overwhelmed, but am excited to get started. Will be scanning personal document, work docs, whatever else I need to digitize and recycle. All suggestions appreciated!

So I go starlink as Openreach can't reach us with full fiber, in the starlink app I looked at our first month's data and we had used nearly 500gb. This month so far, we are up to 765gb.

Is that a lot for a homelab house?

I also don't have all my services here, I have most at OVH.

Features

• Bulk Food Import via paste JSON or upload CSV (Settings → Import & Export)
• Live nutrition preview on the Add to Diary sheet (macros update with portion / unit / servings)
• Mass-aware unit conversion when scaling nutrition (g ↔ oz ↔ lb, ml ↔ cup, tsp ↔ tbsp)
• Custom Units in Settings ("shot", "scoop", "stick", etc.)
• Scan Label: snap a photo of a nutrition label and the AI Assistant fills in the values
• Smart Share / View on OFF: existing Open Food Facts products link straight to their wiki page for editing; new ones get a Share button to contribute back
• Connection status banners across every integration with one-tap Test / Sync / Disconnect
• Settings auto-save by default; no Save button to remember
• Day rollover at midnight when the app stays open overnight
• Barcode scanner now fully on-device on Android, no Google Play Services required (works on GrapheneOS / CalyxOS / e/OS)
• Custom nutriment order from Settings is reflected everywhere (food editor, meal editor, diary nutrition bar)
• Vitamin D, Calcium, Iron, and Potassium visible by default on new installs (FDA Nutrition Facts label mandatory fields)
• Svelte 5 + Vite 6 + Express 5 + bcryptjs 3 framework upgrade (main bundle ~22% smaller)

Fixes

• Disabling user management no longer triggers the setup wizard on every reload (#34)
• Data APIs in single-user mode no longer return 503 "Setup required" on every call (#34 part 2)
• Single-user mode: only the first food item added each day was visible in the UI. SQLite quirk on null user_id. Includes a one-time migration that recovers items already in the database (#37)
• Food saves on Android no longer duplicate the previous food (#32)
• "Most Used" / "Recently Used" food sort on Android now reflects real usage
• MyFitnessPal Reports → Export CSV imports cleanly now (aggregate-per-meal shape)
• Wellness scores refresh if today's sleep finishes syncing after the morning snapshot
• Import Nutrition History action row no longer overlaps the duplicate-date radios (#33)
• Barcode scanner no longer gets stuck re-opening the camera after a scan
• Barcodes that don't match anything in OFF now drop you in the food editor with the code prefilled instead of a dead-end toast, so you can contribute the product back
• Open Food Facts contribution now sends correct per-serving values and uploads your product image (both were silently broken)
• AI Assistant respects AI_ENABLED=true and the full AI_* env-var set; toggle, settings card, and chat all honour the proxy (#36)
• kcal / kJ values are consistent everywhere now: food editor, diary footer, meal totals, statistics, goals, weekly summary email, push notifications (#38)
• AI Assistant Gemini models updated to 2.5 Flash + Lite (Google retired 2.0 Flash and 1.5 Flash)
• nodemailer updated to 8.0.7 (patches an SMTP command-injection advisory)
• Several smaller things, see the full changelog

Signed APK + docker image on the release page.

Self-hosted, AGPL-3.0, no telemetry, no account needed. docker compose up and go.

Hi all! i finally come around publishing a small side project i am running at my home for the last few years. This past month i have revamped it by rewriting the C++ backend and improving the web UI (single page HTML+CSS+AlpineJS) for a broader public.

LazyNVR is a different take on hosting webcams and centralizing access to them. Instead of working on the cameras feed, which is CPU/GPU heavy and doesn't scale much, it relies on cameras on-board capabilities to detect motion and upload recorded videos to your own server.

If you own IP cameras from brands like Dahua, Reolink and many others, you can leverage their on board motion detection capabilities and off-load your server computational power using LazyNVR.

I have some 15 cameras and tools like Frigate or MotionEye just kill my server CPU, but all my cameras can detect motions and automatically record a video and upload it to my server using different protocols (like FTP, sftp, and such). So LazyNVR was born.

The server is written in C++ and basically detect incoming videos, recode (without re-encoding) them to an MP4 web streammable format, and store them well sorted. It will also keep your incoming folders clean and purge stored videos when they are too old. The server will also fetch and refresh still live images from the cameras.

The client is a WEB GUI, actually a single HTML file with CSS and some AlpineJS, which will show the still live images and the list of all the recorded videos letting you download or view them directly.

I am running over 15 cameras from my RaspPi with basically 0% CPU overhead.

I have published LazyNVR on Codeberg (here https://codeberg.org/LazyNVR/lazynvr-sources) because well, i think it's better than GitHub. And there is also a pretty lazy web site on https://www.lazynvr.it/ (which mostly redirect to Codeberg).

Currently there are docker images for AMD64 and ARM64, but it's pretty easy to compile directly, with the provided instructions in the Codeberg Wiki.

Please, feel free to try it!

Mandatory AI disclaimer: i don't use AI for coding. Zero code (C++ or Javscript) has been written by or with AI support in this project. I have used AI extensively for the CSS stuff that i hate, but reviewed and mostly edited it anyway. I have also used AI for research and to write the dockerfile faster, since i am no docker expert. I have personally written the dockerfile anyway, and personally tested as well. The logo has been created with AI, probably it shows.

So you don't want to port-forward on your home router or have Cloudflare decrypt all your traffic? Check out Towonel.

Most open source Cloudflare Tunnel alternatives involve setting up a VPS, terminating TLS there on a reverse proxy, then setting up a Wireguard tunnel to your server at home.

Towonel is different: it does not decrypt your traffic on the VPS and you can easily share one, so not every self-hoster has to buy and maintain a VPS.

Check it out!

Mastodon link: https://gts.erwanleboucher.dev/@eleboucher/statuses/01KS4YNA2SYMSP0FSKJVNJA155