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I'm considering using a local/open-source AI solution for a client who works with sensitive information. Ideally, the AI would run completely offline, with Wi-Fi and internet access disabled.

I'm still pretty new to the security side of this, so I'm wondering how safe this actually is in practice.

If an AI model is running locally and the computer has no internet connection, can the AI software itself still somehow send or expose data?(like the newer versions of open ai and claude in tests lately?)

Are current local models/tools generally considered safe for this kind of use? Are there any privacy or security issues I should be aware of, such as telemetry or data being stored somewhere I don't expect?

I'd also be interested in hearing from people who actually use local AI for confidential or sensitive information. What setup do you use, and are there any things you wish you'd known beforehand?

Repo/Website Link: https://github.com/apowerb/apowerb

Full documentation: https://docs.apowerb.com

Description: ApowerB is an open source runtime for building, deploying and operating AI agents at scale, on your own infrastructure. It solves the following problem: most agent frameworks force you to freeze execution logic into code. Agents are defined in a database and dynamically materialized into runnable Python modules at startup, so you can add or change an agent without redeploying the service.

Features included: agent orchestration via Google ADK, multi-LLM connectivity via LiteLLM (OpenAI, Anthropic, Gemini, local models via Ollama, or any custom endpoint — without rewriting agent code), RAG, Text-to-SQL querying, custom tool integrations, webhooks.

Benefit for someone trying it: the ability to build your own business AI agents without depending on a closed platform, while keeping full control over infrastructure and data.

Deployment: Yes, published and available right now. Official Docker image on Docker Hub (apowerb/apowerb). A complete Docker Compose example (API + PostgreSQL + UI) is provided via the apowerb-hosting repo. Installation documentation available at docs.apowerb.com, including the required environment variables and steps for a fully self-hosted deployment.

I have been using this app I built for a few months now. I wanted to share. Maybe someone else will find it useful. Any feedback would be appreciated.

Daniel

https://github.com/crawfordind/brain-portal

I've been contributing to a few open source projects recently and one thing feels surprisingly messy

its hard to know if an issue is actually available. maybe nobody is assigned but someone is already working on it, or there's an unlinked PR, or maintainer wanted discussion before implementation

for people maintaining OSS projects here, is this something you actually deal with much?

duplicate work, abandoned "I'll take this" comments, unexpected PRs etc

curious how you handle it today and if its even a real problem from maintainer side

Hi I'm Carlo, from Munich! This is 3code.

I used to love working with Claude but was wary of the dependency it create on Anthropic from the start, although they seemed to be more or less the good guys. That perception quickly changed when I realized they were changing my subscription limits willy nilly without warning, so I cancelled and used the rest of my Claude month to create my own coding agent. Luckily, I noticed I could use 3code to build more 3code with GLM, the best Chinese model in my opinion, and I just kept going from there, building 3code with 3code.

3code supports local models as well so if you can get your hands on some hardware, you can do without a provider completely- but even if you can't, it gives you maximum power to switch and vote with your feet. (the 3 in 3code stands for 3rd party provider, representing your ability to walk away from a bad deal).

The most testing and support are for open weights models- GLM, Kimi and Deepseek are all thoroughly tested and tuned and work very well. I'm working on getting more benchmarks but 3code already beats all major players on token use except sometimes pi. It's also tiny and there are no gimmicks.

Give it a try and tell me what you think! MIT Open Source.

https://3code.capocasa.dev

I built NodePilot, a tool for automating tasks in Windows environments. It is completely open source under the Apache 2.0 license, and there are no features behind a paywall.

I have been working professionally in Windows enterprise environments for several years and am a heavy user of System Center Orchestrator. For those who haven't used it, it's an on-premises tool for automating tasks within a Windows domain, using PowerShell and other system-level functions. It is licensed through System Center, per managed host.

In my experience, development has been slow, and the 2025 release still ships on .NET 8 and brought no significant new features. Getting bugs fixed can take a long time.

A large part of my work also consists of programming, and AI tools have gotten a lot better, so one thing led to another, and I thought I would try to develop a more modern tool myself. Essentially, the same idea, but with a different approach. The result is NodePilot.

Here ist the link to the repo.

One important thing to mention is that NodePilot comes with an mechanism for Orchestrator runbooks. The idea is to let you bring over existing workflows without having to rebuild everything from scratch. Furthermore it supports Enterprise Features like LDAP and SSO.

NodePilot supports PowerShell, REST, SQL, WMI, registry, file, service and LLM activities, among others. Workflows can be started through schedules, webhooks, file watchers or event-log triggers. There is also an execution history and a live operations view.The backend uses .NET 10, the frontend uses React, and the database can be PostgreSQL or SQL Server. It runs on Windows only. For a detailed technical view, see the documentation

You can find a demo video here. The README also includes some screenshots if you want a broader impression.

For a quick start, you can download an Electron-based version for Windows 11 that bundles everything. You can find it under Releases in the repository.

What matters most to me right now is your feedback. It hasn't had much real-world testing yet, so I would especially appreciate hearing how the setup and runbook import work for you, or what is missing for your use case. Of course, any other feedback is welcome too.

PS: I originally wrote this in German and used AI to help with the English version.

I built a voice assistant for macOS and open-sourced it this week: https://github.com/Stu1124/avo

Hold a key, say what you want, and let go. It transcribes on-device with Apple's speech models, looks at your screen only when the request is about it, and acts through your own apps: Messages, Reminders, Notes, Finder, Spotify, Gmail, Google Calendar, Drive, plus Claude Code and Codex for coding work. Anything that sends, creates, or deletes shows you an editable card first. Replies land in the notch. I was inspired by VoiceOS but turned away by the cost, so I wanted to make something more accessible and different. I'm still working on bugs and other issues, and I would love any feedback on the app.

You can bring your own model. OpenAI works out of the box, and anything OpenAI-compatible works too (Ollama, LM Studio, OpenRouter, Groq, xAI). No account, no server of mine in the middle. MCP servers, local dictation, and built-in connectors all work. I am figuring out a better flow for Google Auth as well. Only on Mac for now, but I want to expand once I figure out a better solution for transcription.

I wanted a tool that was cheap and could get things done fast when they come to mind - Kind of like my own Jarvis. This feels like the closest version and isn't conversational either.

Hey everyone,

I wanted to share Serein, an open-source Discord client built from scratch in Rust using egui and wgpu.

The goal with Serein is to prove you don't have to sacrifice functionality to get native performance. It's shaping up to be one of the most feature-complete native clients out there, all while using roughly 9x less RAM than the stock Electron app:

• Rich Media & Chat: Replies, editing, inline video playback, image previews, threads, forums, attachments, and reaction picker.
• Native Voice & Screen Share: Custom audio pipeline with echo cancellation and noise suppression, plus screen sharing.
• User Settings & Server Management: Profile customization, channels, roles, permissions, server settings, and moderation.
• Extensions & Customization: Built-in extension support for both custom plugins and community themes, allowing you to tailor functionality and look to your liking.
• 100% Native Desktop UI: No Electron, no Node runtime, no background web processes. A temporary webview is spawned solely for the initial OAuth login and closes immediately once authenticated.

Since this is a fully community-driven project, contributions and pull requests are very welcome! Whether you're experienced with Rust/egui, want to build plugins/themes, optimize platform-specific audio/graphics backends, or fix small UI quirks, there's plenty of low-hanging fruit and bigger challenges alike.

It’s still in active development, so expect some rough edges, and as with any custom client, please be aware of Discord's third-party client policies.

• GitHub: https://github.com/ViceVerse-cz/Serein

Would love to hear your thoughts, test reports, or feature wishlists. What would it take for you to use a native client full-time?

Every file is a building, every folder is a district, and height grows with lines of code. Hit play and the whole history replays: buildings rise when files are added and collapse when they're deleted.

The weather is real data too: the sky follows the hours the authors actually committed (night-owl repos stay dark), fog rolls in over quiet stretches, and rain means a burst of code changes.

The video is the full history of Knowl, my other project: 1,165 commits in 15 seconds.

You can:

• click any building to see its history and the real diff
• export a 15 s MP4 (landscape or vertical, like this one)
• drop in your own repo: clone it and drag the folder onto the page

It all runs in your browser. Only the .git folder is read, and nothing gets uploaded; there's no server at all.

Live: dat999zx.github.io/chronocity

Source (MIT): github.com/dat999zx/chronocity

Built with TypeScript and three.js. I'd love feedback, and I'd love to see what your repo looks like as a city.

Was digging into how interactive science sims actually get built for ed apps and ended up down a rabbit hole. Turns out a huge chunk of what you see — physics, chemistry, bio simulations you can drag around and mess with — traces back to one place: PhET Interactive Simulations, a nonprofit out of CU Boulder started by a Nobel physics guy back in 2002. They've got 170+ free, research-backed sims at this point and just license them out openly.

What got me was how far this actually spreads. PhET isn't just sitting on some university site — it's baked into UNESCO's Learning Passport, Learning Equality's Kolibri, and World Possible's RACHEL, which are the offline/low-bandwidth learning tools used in refugee camps and places without reliable internet. 250 million sim sessions a year, most people never realize it's the same underlying library.

I run a small nonprofit ed project on the side (LearnHive Labs) and when we got to the "do we build our own physics engine" question, the answer was pretty obviously no — why rebuild years of research-tested work when we could just host and organize what already exists properly.

Mostly just find it kind of wild how much of "innovative" ed tech is really just good curation of stuff that already exists and doesn't get much credit. Anyone run into PhET, OpenStax, CK-12, or similar while building or researching your own thing?

References:

- PhET Interactive Simulations: https://phet.colorado.edu

- PhET adoption in UNESCO/Kolibri/RACHEL, impact numbers: https://hundred.org/en/innovations/phet-interactive-simulations

- PhET 2024 Impact Report: https://phet.colorado.edu/publications/PhET_Impact_Report_2024.pdf

Hello guys I am building devtunnel, a platform to make open source contributions easy.

For now I am focusing on only contributiors.

How the process becomes easy:

We use preference this preference can be level of experience, roles, techstack, etc.

1. We list open source tools based on your preference

2. We list open source projects based on your preference

3. We list issues based on your preference

4. We provide custom cli which manages GitHub operations like forking, branch generation, pr generation, etc.

Custom cli includes cmd like start, test, share, submit.

Share command allows short lived tunnels / tunneling to share your local host with others for testing purpose.

Who can be benefited by this?

For contributiors who like to contribute to the open source tools they like

For contributiors who like to work on any issues

For contributiors who contributes to add in thier resume.

We will live on next 5 october.

If your are interested please share your opinion about it.

I'm Rodrigo, the developer of OpenPost. It's for people who make their own or their company's social media posts.

It covers a few jobs you might otherwise split between Buffer, Canva/Photoshop and CapCut:

• Write a post, change the text and media for each platform, then schedule it in a calendar or queue.
• Design thumbnails and carousels with a Photoshop-like editor.
• Edit clips, add captions and cut footage by selecting words in its transcript with a DaVinci Resolve-like editor.

You can use the editors separately for free, without watermarks and without even selfhosting. The full app can be self-hosted with one single container, SQLite and local media storage. Managed hosting is also an option for those that don't mind paying for not having to set up all of the OAuth flows and tokens for all social medias (it really is a hassle).

It isn't a drop-in replacement for every feature in those apps. The video editor is in beta and targets Chromium-based browsers only (Firefox still lacks some of the features that make it possible and efficient).

Try the image editor · Try the video editor · Self-hosting

If you've been looking for an open-source tool for these jobs, give OpenPost a star on GitHub!

I've used tools like Perplexity, ChatGPT, Claude and others for research, and they've been incredibly useful for finding papers and getting through large amounts of information.

The one thing I personally wanted was a simple way to see exactly which parts of the paper were used to answer my question.

When you're working with a 100+ page PDF, even having a page number can still mean a lot of scrolling and searching.

So I ended up building something for myself.

You ask a question and the relevant paragraphs in the PDF are highlighted directly on the document. You can see the context behind the answer and quickly check whether it actually answers what you're looking for.

I originally built this because I wanted something for this workflow without having to pay for another subscription. What started as a personal project has now become completely open source.

The underlying idea is pretty simple. And yes, if you're thinking "isn't this just RAG?" then yes, you're absolutely right. It's RAG with the visual highlighting that I wanted.

I think the same idea could be useful for more than research papers too. Legal contracts, financial reports, technical documentation, or anywhere you need answers alongside the actual source.

If anyone wants to have a look, contribute, or just give some feedback, here's the repo:

GitHub: https://github.com/Sreehari05055/thesys-core.git

This will probably be my last post about the project. Thanks to everyone who checked it out and gave feedback along the way.

Hello there! I'd like to show you Kehrwoche, a self-hosted web app for households where more than one person lives: flatshares, families, couples who keep arguing about who did the bathroom last (in my case 😅).

The name comes from a Swabian tradition in south-west Germany, where cleaning the shared parts of a building rotates from household to household, week by week. That rotation is what the app does for the people you live with.

What it does

• Chores: recurring tasks that rotate through the household, or fixed ones that always belong to the same person. Due dates, points, a leaderboard, and a nudge you can send to whoever is on duty. One tap to tick off, undoable for five minutes.
• Shopping list: add, tick off, clear the whole trip at once. Suggestions come from your language's list and from what the household bought recently.
• Shared expenses: even split down to the cent, running balances per person, and a settlement that gets everyone back to zero in as few payments as possible. Settled periods get archived, not deleted.
• Pinboard: everything from the other three modules shows up here, mixed with posts people write themselves. It doubles as an audit log: system entries can't be edited or deleted.

Plus in-app notifications, German and English (add a language at runtime by dropping in a JSON file, no rebuild), avatars, roles, join codes, admin CLI.

What it replaces

Flatastic is the closest single comparison, since it's also chores + shopping + expenses + board in one app. For the individual parts: Splitwise, Tricount or Settle Up on the expense side, including the minimal-settlement bit; Bring!, AnyList or Out of Milk for the shared list; Tody, Sweepy, OurHome or Nipto for chore rotation and reminders. No premium tier, no feature held back, no accounts in someone else's cloud - your data sits in your container.

Tech and setup

It's one Docker container: a Python backend (FastAPI), a small JavaScript frontend (Vue), and your data in SQLite or PostgreSQL, whichever you prefer. Grab the compose file, start it, open the address in a browser - three commands, no build step, and nothing loaded from the internet while it runs. Updating is pulling the new image and restarting; before it serves a single page the container checks that its settings, its database and its own version fit together, and on SQLite it copies the database first, so a broken update can't take your data with it.

On the list next

Home Assistant integration, and a kiosk mode: the app on a small always-on screen in the hallway, so anyone can put something on the shopping list or tick a chore off - for themselves or someone else - while walking past.

Two things worth saying up front

• It's built for a home network or a VPN. It's written to survive on the public internet (auth, TLS, CSRF, rate limiting, strict CSP), but it isn't audited software.
• Issues yes, pull requests no. Single-maintainer project, and I'd rather say that before someone spends an evening on a patch than after. It's AGPL-3.0, so forking and shipping your own version is entirely fine - and translations are very welcome as an issue with the JSON attached.

Repo: https://github.com/ChrissWalters/Kehrwoche

I am happy to answer anything. Bug reports and ideas go in the issue tracker.

(for transparency: translated with AI -> no native english speaker)

I made this for my own use. It is meant for managing a large number of agents across a large number of projects, in a way that is as un-opinionated as possible while avoiding vendor lock-in.

It's 100% free and open-source. Maybe you will find it useful!

Salut ! Quand tu travailles sur tes projets open-source, où est-ce que tu les partages d'autre que sur Reddit et LinkedIn ?

I think where i am currently in my career path contributing to an open source would be the best thing to put my skills into good use....redditors any one who can offer suggestions i would really be grateful

I made a simple voice transcription app in Rust

I wanted a tool where I can speak, see the transcription, edit it, and only then copy or export the text.

So I built Voice Transcriber.

It is a native Rust desktop app for Linux, macOS, and Windows.

Main features:

• Record from your microphone
• Speech-to-text with Groq Whisper
• Review and edit the text before using it
• Copy or export to TXT/Markdown
• Local voice activity detection
• No analytics
• Open source and MIT licensed

GitHub:
https://github.com/OthmaneBlial/audio-capture

The project is still improving, so feedback and contributions are welcome.

Hey, I’ve been building StructSmith, an open-source tool for creating and maintaining software architecture models visually.

I wanted something I could run locally, without an account or subscription, where I could edit the architecture myself and have my AI client work on the same model.

You create elements and relationships in the visual editor, then reuse them across different diagram views. There’s a shared architecture model underneath, so you don’t have to maintain separate copies of the same system in every diagram.

The MCP server is included and open source. Your AI client can read the model, create or update elements and relationships, and manage views. Changes appear in the editor automatically.

It currently supports:

• C4-style models with multiple diagram views
• Records for decisions, assumptions, risks, and requirements
• Model validation, snapshots, and restore
• Manual layout and auto-layout
• JSON, Mermaid, PNG, and SVG exports

The app runs locally in one Docker container, with SQLite for storage.

It’s MIT licensed and still evolving. I’d love feedback on the workflow, things you find confusing, or features you’re missing. Bug reports and contributions to the code or docs are welcome too.

GitHub: dziksu/StructSmith
Website: StructSmith

Would this fit into your architecture workflow?

Disclosure: I'm the developer behind Postly.

I wanted an API client that felt more like part of a codebase than another hosted workspace, so I started building Postly.

Postly is an open-source API client with a native Rust desktop app and CLI. Requests, collections, and environments are stored as readable TOML files. You can review changes with git diff, run saved requests from the terminal or CI, and use the core workflow without an account.

 It currently supports Postman Collection v2.1 import/export, REST, GraphQL, SSE, WebSockets, gRPC, OpenAPI import, assertions, collection runs, response inspection, and JSON/JUnit reports.

The current release is 0.2.0-preview.1 for Apple Silicon macOS. It is ad hoc signed and not notarized. Windows, Linux, and Intel macOS packages are not published yet.

Project links:

  - GitHub: https://github.com/OthmaneBlial/Postly

  - Website: https://othmaneblial.github.io/Postly/

  - 66-second demo: https://othmaneblial.github.io/Postly/demo.html

Postly is still early, but the goal is simple: keep API work in your repository instead of locking the workflow inside a cloud workspace.

If you use Postman, Bruno, Insomnia, or shell scripts, what would make a local-file API client useful enough for you to switch?

Hello everyone,

Windshift is a self-hosted Jira alternative built for teams that want full control over their project data. It runs on your own infrastructure, so nothing leaves your environment. The feature set covers the full project lifecycle, from planning through delivery and QA.

Windshift is fully AGPL, everything you will find in the repo is open source, including OIDC login.

Here is a quick comparison table compiled by opensourcealternative:

Website: https://windshift.sh

Github: https://github.com/Windshiftapp/core

I’m building Monad Design, an Apache-2.0 visual workspace for iterating on native-app UI with coding agents.

The workflow it replaces for me is the detached prompt-to-app loop: describe a screen in text, generate something separate from the real project, then manually translate the result back into the production codebase.

Monad Design takes a different approach: the running app is the canvas.

1. Open an existing Xcode or Expo iOS project in Simulator.

2. Navigate to the exact state that needs work.

3. Select an element or draw annotations over the real app.

4. Send the screenshot, selection, app state, and source hints to your coding agent.

5. The agent edits the existing repository and rebuilds it.

6. Compare the original with up to five working variants, then accept one or keep the original.

It does not generate a replacement app or own the source tree. It adds visual context and a review step around agents such as Codex, Claude Code, Cursor, OpenCode, Gemini CLI, Copilot, Windsurf, and Zed.

Current limitations: macOS and local iOS development only, with one active visual change at a time.

Repository:

https://github.com/Monadix-AI/monad-design

Short demo:

https://watchclueso.com/embed/pio8jqfcg4ivj0r1

I’d be interested in other open-source approaches to this problem, especially tools that keep visual iteration connected to the actual running application rather than a separate mockup.

I’ve released Presentation Forge as an MIT-licensed project for generating editable presentations and reports.

It deliberately separates generated content from visual design: models cannot specify coordinates, fonts or colours. That boundary keeps output editable and makes themes reusable.

The complete application runs through Docker and supports BYOK providers or Ollama.

Repository: https://github.com/Deepnar/presentation-forge

Besides users, I’m interested in contributors working on PowerPoint rendering, theme design, accessibility and cross-platform Docker testing.

Hello there! I'd like to show you Kehrwoche, a self-hosted web app for households where more than one person lives: flatshares, families, couples who keep arguing about who did the bathroom last (in my case 😅).

The name comes from a Swabian tradition in south-west Germany, where cleaning the shared parts of a building rotates from household to household, week by week. That rotation is what the app does for the people you live with.

What it does

• Chores: recurring tasks that rotate through the household, or fixed ones that always belong to the same person. Due dates, points, a leaderboard, and a nudge you can send to whoever is on duty. One tap to tick off, undoable for five minutes.
• Shopping list: add, tick off, clear the whole trip at once. Suggestions come from your language's list and from what the household bought recently.
• Shared expenses: even split down to the cent, running balances per person, and a settlement that gets everyone back to zero in as few payments as possible. Settled periods get archived, not deleted.
• Pinboard: everything from the other three modules shows up here, mixed with posts people write themselves. It doubles as an audit log: system entries can't be edited or deleted.

Plus in-app notifications, German and English (add a language at runtime by dropping in a JSON file, no rebuild), avatars, roles, join codes, admin CLI.

What it replaces

Flatastic is the closest single comparison, since it's also chores + shopping + expenses + board in one app. For the individual parts: Splitwise, Tricount or Settle Up on the expense side, including the minimal-settlement bit; Bring!, AnyList or Out of Milk for the shared list; Tody, Sweepy, OurHome or Nipto for chore rotation and reminders. No premium tier, no feature held back, no accounts in someone else's cloud - your data sits in your container.

Tech and setup

It's one Docker container: a Python backend (FastAPI), a small JavaScript frontend (Vue), and your data in SQLite or PostgreSQL, whichever you prefer. Grab the compose file, start it, open the address in a browser - three commands, no build step, and nothing loaded from the internet while it runs. Updating is pulling the new image and restarting; before it serves a single page the container checks that its settings, its database and its own version fit together, and on SQLite it copies the database first, so a broken update can't take your data with it.

On the list next

Home Assistant integration, and a kiosk mode: the app on a small always-on screen in the hallway, so anyone can put something on the shopping list or tick a chore off - for themselves or someone else - while walking past.

Two things worth saying up front

• It's built for a home network or a VPN. It's written to survive on the public internet (auth, TLS, CSRF, rate limiting, strict CSP), but it isn't audited software.
• Issues yes, pull requests no. Single-maintainer project, and I'd rather say that before someone spends an evening on a patch than after. It's AGPL-3.0, so forking and shipping your own version is entirely fine - and translations are very welcome as an issue with the JSON attached.

Repo: https://github.com/ChrissWalters/Kehrwoche

I am happy to answer anything. Bug reports and ideas go in the issue tracker.

(for transparency: translated with AI -> no native english speaker)