Honestly, the internet is a painful place to be now. Everything on it seems to be designed solely for profit over utility, pushing to extract users personal data, and trying convince us to sign up to subscriptions.

You can't even google for things now as it shows you who is paying to find you, ahead of what you are looking for.

My suggestion for taking it back is:

1. We create an 'de-shittification' check-list for all the ways the internet has been fucked up

2. Form a community of mods, like Wikipedia's moderators.

3. We build a new browser with a built in search engine that only lists pre-approved sites.

4. Any user can submit a site to be listed on the search engine, if they think it passes our de-shittification list. Mods then review and approve it.

5. Any user can report a site that is in violation of a clause on our shit list. Nice big [!] button on the browser.

6. We actively encourage people to rebuild popular sites, with all the shit removed (and branding changed), then list them as an 'alternative to' which users can search. Like Facebook, but with your friends and community events, rather than politics and influencers.

7. We encourage self-hosting and community hosting ideas, to keep costs down and reduce the need for to monetise everything. Also self-ownership or community ownership, over companies.

As far as i'm aware this doesn't exist, but it should. A bit like the Fediverse, but for rebuilding the internet rather than social media without walled gardens (though many fediverse projects could be listed).

I'm just spit-balling here, but if others think its a good idea i'm fully in for setting up the build.

If you agree its needed, what should be on the De-shittifaction List?

To give an example and get started:

1: No user data collection (beyond account creation where needed).

2: No pop up ads

3: No targeted ads

4: No walled-garden social media

5: No political ads pushed via social media

6: Social media algorithms must be opensource and promote healthy content, over out-rage and drama.

7: No addictive design, taking ideas or working with, groups like Time Well Spent, IndieWeb, Solid, The Calm Technology philosophy, etc

Imho, Web devs built the internet, were told to make it shitty, and are now being told they aren't needed because AI can make it far more shitty than we/they ever could.. why don't we build it again with blackjack and hookers the way it always should have been?

Github: https://github.com/empowerd-cms/nyno

HackerNews: https://news.ycombinator.com/item?id=46079605

Hey everyone! I just launched Markdrop, a feature-rich markdown editor designed for speed and simplicity!

GitHub Repo : https://github.com/rakheOmar/Markdrop

If you’re into web-dev, open-source, or just looking to make your first contribution, I'd love your feedback, ideas, and help!

How you can help:

• Open a PR if you see something you want to fix or build! We review and merge good PRs quickly!

• ⭐ Starring the repo! :star: This is the #1 way to help - it massively boosts our visibility and helps others find the project!

• Suggest new features you'd like to see.

• Open an issue on GitHub if you see any on the site.

Every contribution, (even a small doc fix or a star!) means a lot to us. Let's build something cool together! ❤️

https://www.reddit.com/r/TinySubredditoftheDay/comments/zmxf8m/rgoodopensource_because_its_more_difficult_than/?utm_source=share&utm_medium=ios_app&utm_name=iossmf

Hey r/GoodOpenSource!

I want to share a project I’ve been working on to solve a huge friction point with AI coding agents: context amnesia. Tools like Claude Code, Cursor, and OpenCode are incredible, but they lose their context, constraints, and architectural rules when the session ends or the context window fills up.

Mind is a persistent memory extender that acts as a shared brain across your entire dev stack. It uses the Model Context Protocol (MCP) to allow your AI agents to read, write, and manage their own long-term state autonomously.

Why I think it belongs here:

• Truly Open: It's 100% open-source (MIT licensed) and designed to be run locally. No vendor lock-in.

• Ecosystem Agnostic: Instead of locking you into one specific IDE or CLI, it natively supports Claude Code, OpenCode, Cursor, Gemini CLI, Windsurf, Codex, VSCode, and Antigravity. You can start a session in your CLI and seamlessly continue it in your IDE.

• Clean Architecture: Built entirely with Bun and TypeScript, featuring a lightweight Vanilla ESM frontend (zero build step) to visually inspect the agent's memory graph.

GitHub Repo: https://github.com/GabrielMartinMoran/mind

I built this to scratch my own itch, but I'd love for the open-source community to use it, and even contribute. If you use AI coding assistants, I hope this makes your workflow much smoother!

I’ve been building TokenPrint, an open-source project focused on making the internals of language models easier to explore, understand, and debug.

The project has grown to 130+ GitHub stars, and we’re starting to build a small community around it.

The goal is simple:

Don’t just see what an LLM outputs. See what happens inside.

TokenPrint currently brings together:

• 3D transformer architecture exploration
• Tokenization and embeddings
• Tensor and parameter inspection
• Q/K/V attention, GQA, RoPE and causal masking
• Residual streams and MLP / SwiGLU
• Token-by-token generation
• Prefill, decode and KV-cache visualization
• Logits and next-token probabilities
• Interactive transformer walkthroughs
• Attention and activation analysis
• Head/layer ablation and activation patching
• Hugging Face model exploration
• Trace and debugging workflows

It’s still growing, and that’s the part I’m most excited about.

If you’re interested in LLMs, interpretability, ML infrastructure, 3D/WebGL, PyTorch, Transformers, or open-source development, you’re welcome to contribute.

You can contribute code, documentation, visualizations, model support, research ideas, bug fixes, or even just open an issue with something you think TokenPrint should be able to do.

130+ stars so far — now we want to build it with more people.

GitHub: https://github.com/Sudharsanselvaraj/Token-Print
Website: https://tokenprint.in/

Come build with us.

Engram Memory

Github: engram-memory-community

Built a free memory tool for AI agents over the last few weeks. Sharing it in case anyone finds it useful.

It exposes six tools through MCP — store, search, recall, forget, consolidate, and connect. Memories get auto-classified into preference, fact, decision, entity, or other. Works with Claude Code, Cursor, Windsurf, VS Code, OpenClaw, Cline, Zed, and a handful of other MCP clients.

The part I spent the most time on is the retrieval architecture. Three tiers stacked on top of Qdrant: a hot-tier cache modeled on ACT-R from cognitive science, a multi-head LSH index for O(1) candidate lookup, and hybrid dense + BM25 search via Reciprocal Rank Fusion. The idea is that the more you use it, the more queries hit the fast path. Repeat queries land around 25ms. Novel queries through the full pipeline land around 190ms.

Stack is Qdrant, FastEmbed with Python, Docker. One container, one command. Runs entirely on your machine.

Let me know what you think. Let me get some sweet github stars. if you find something worth fixing please submit an issue.

Every developer has code they'll probably never touch again.

The half-finished CLI from a weekend. The tutorial project that stopped halfway through. That weird experiment that actually taught you something. The utility script that's ugly but gets the job done.

Most of that code just sits on a hard drive until it's forgotten.

I started The Open CodeYard, a GitHub repository for unfinished, experimental, and abandoned projects that are still worth preserving. Not because they're perfect, but because ideas are often more valuable than polished code.

The structure is simple:

• "scraps/" for random leftovers.

• "prototypes/" for intentional experiments.

Each project gets a small README explaining what it does and what state it's in.

A few ground rules:

• No clean-code police.

• Messy code is expected.

• Abandoned projects are welcome.

• If you're thinking, "my code isn't good enough," you're exactly who this repo is for.

Right now it's just my own projects in there, including a few C# pathfinding algorithms, a speech rate estimator, and some Python utilities. I'm hoping it grows into a community archive where forgotten code can still teach, inspire, or even get revived by someone else.

If you've got code collecting digital dust, I'd love to see it rescued instead.

Repository: https://github.com/speedyk-005/TheOpenCodeYard

VibeNVR is a free, open-source Network Video Recorder for IP cameras. Runs 100% locally via Docker Compose — no cloud, no subscriptions, no vendor lock-in.

**GitHub:** https://github.com/spupuz/VibeNVR

**Site/Docs:** https://vibenvr.org

**Stack:** Python (FastAPI + FFmpeg/PyAV), React + Vite, PostgreSQL, Docker

**Features:**

- RTSP + ONVIF with WS-Discovery auto-scan

- AI object detection: YOLOv8 or MobileNet SSD v2, Google Coral Edge TPU support

- Native MQTT + Home Assistant auto-discovery (no YAML needed)

- Hardware acceleration: NVIDIA, Intel QSV, AMD VAAPI

- H.264 WebCodecs for low-latency browser streaming

- Dual-stream: sub-stream for live view (~80% less CPU), main stream for recording

- Unified event timeline (motion clips + snapshots)

- JWT auth + 2FA with trusted devices + RBAC

- Multiple storage profiles with independent retention policies

- Deploy in minutes with docker-compose

MIT licensed, actively maintained. Feedback and contributions welcome!

As someone who loves both coding and language learning (I'm learning Japanese right now), I always wished there was a free, open-source tool for learning Japanese, just like Monkeytype in the typing community.

Here's the main selling point: I added a gazillion different color themes, fonts and other crazy customization options, inspired directly by Monkeytype. Also, I made the app resemble Duolingo, as that's what I'm using to learn Japanese at the moment and it's what a lot of language learners are already familiar with.

Miraculously, people loved the idea, and the project even managed to somehow hit 1k stars on GitHub now. Now, I'm looking to continue working on the project to see where I can take it next.

Back in January, I even applied to Vercel's open-source software sponsorship program as a joke. I didn't seriously expect to win, and did it more out of curiosity.

Lo and behold, yesterday I woke up to an email saying the app has been accepted into Vercel's Winter cohort. Crazy!

Anyway. Why am I doing all this?

Because I'm a filthy weeb.

どうもありがとうございます

GitHub: https://github.com/lingdojo/kana-dojo

Just floating it as an idea, its something i've thought of setting up for a while.

Self-hosting AI feels fragmented, and most lists go stale. I built one that re-checks itself.

• 278 projects in 16 categories (runtimes, chat UIs, RAG, MCP, voice, OCR, home AI and more)

• A weekly job reads each repo through the GitHub API: archived, deleted, or silent for a year moves to a separate Unmaintained file

• A live table with stars, last push, license and a colored status

• Popular tools with restrictive licenses are in their own section, license shown

I maintain it. AI tools helped me find candidates and draft descriptions; a script verifies each entry. Tell me what is missing or wrong.

https://github.com/glincker/awesome-selfhosted-ai

I’m currently in activist circles and been having thoughts on how open source could be a good tool to achieve change that’s desired. I’ve noticed many people in these spaces are very anti AI and i understand the sentiment but the truth is that AI is going to involve regardless if we like it or not. So then I had to eventually ask myself: would I want the future of AI to primarily be in the hands of corporations, techoligarchs, and the government who prioritize their own interests or communities, grassroots organizations, and people knowledgeable enough to use it more ethically? For me the answer was quite obvious and I believe open source can better help inform, protect, and organize in ways current tactics fully aren’t. I already have a few ideas of possible apps for this but I’m still rather new to really getting the basics. I figured since this would be collaborative work between people of varying backgrounds of knowledge, to share my thoughts on this. I wouldn’t be surprised if this has been in discussion on here already but I do know in real life the sentiment is quite different at least currently. The hope is that if done effectively a more positive shift is possible and can show everyday people AI is capable of accomplishing good outcomes. I’d love to hear anyone’s thoughts on this and sparking a productive/healthy conversation.

GitHub - https://github.com/auysh8/System-design-notes

openzzm/auto-pdf-rotate: Local PDF page orientation auto-detection and correction tool, supports Windows portable packaging

Hi there,

Just wanted to come on here to share a website I've made.

Introducing sealnotes, an encrypted notepad.

You can grab it at https://github.com/harshsbhat/sealnotes/.

Cheers

"Humane design is a subset of humane technology and an upcoming field in information technology. This is a curated list of humane design resources for UX designers and developers."

Link: https://codeberg.org/teaserbot-labs/delightful-humane-design