After five years as open source champions, Cal.com is going closed source. This wasn’t an easy decision, but in the age of AI-driven security threats, protecting customer data has to come first. Cal.diy will continue as an open option for hobbyists.

There are a few opensource games out there, but many aren't in distro repos, or for windows, or released on itch.io requiring an account to download, etc. What could a open source game store for opensource games for all distros look like?

I've been tasked with ensuring accessibility of various PDFs my org puts out. Acrobat has some accessibility checks, but I don't want to have to boot into Windows every time I need to check that staff correctly put in alt text and labeled their sections.

Is there a PDF viewer/editor for Linux that will let me run these kinds of checks or at least see various document properties?

https://libregraphicsmeeting.org/2026/

• CorridorKey-Engine on GitHub
• EZ-CorridorKey on GitHub
• CorridorKey-Runtime on GitHub, DaVinci Resolve plugin

Corridor Digital released an open-source greenscreen keyer/extractor, powered by AI, usable on consumer GPUs.

The video covers what happened after their initial release, community and professional responses, interviews with professionals about what can be improved, and finally a practical test/example in Davinci (Video Editor).

fakecloud is a free, open-source local AWS emulator for integration testing and local development. It runs on a single port (4566), requires no account or auth token, and aims to faithfully replicate AWS behavior.

cross-posted from: https://lemmy.world/post/45470250

cross-posted from: https://lemmy.world/post/45470185

Hi everyone!

Dograh is an open-source, self-hostable voice AI agent platform. It lets you build phone call agents with a drag-and-drop workflow builder. Think n8n but for voice calls. It's an alternative to Vapi, Retell, etc.

https://github.com/dograh-hq/dograh

(Any star would mean a lot - super appreciated ⭐️)

We've been building this for about 6 months now, just me and my co-founder. Fully bootstrapped and we have said No to inbound VC money to stay that way. It's been exciting but also exhausting, we're getting 5-10 tickets a day now and still figuring out how to keep up with that while shipping new stuff.

Here's what's new in v1.20:

• Speech-to-Speech via Gemini 3.1 Flash Live. Instead of stitching together separate STT, LLM, and TTS services, this collapses the whole pipeline into a single connection. The calls sound noticeably more natural.
• Pre-recorded voice mixing. You use actual human voice recordings for predictable parts of the conversation (greetings, confirmations, hold messages) and TTS only kicks in when the agent needs to say something dynamic (use cloned or same voice as fallback) . Saves a lot on TTS costs but most importantly makes bot sound human (because its actual human voice) and lowers latency
• Post-call QA with sentiment analysis and miscommunication detection.
• Full call traces via Langfuse Apart from the above key highlights, we have all the basic stuff: tool calls, call transfer, Knowledge base, etc. Docker setup takes about 2 minutes. Bring your own API keys, no vendor lock-in.

What's on the roadmap (happy to hear more requests):

• Full support for self hostable open source AI models (LLM TTS STT S2S)
• More integrations. Happy to take suggestions here One clarification since I know this community cares about this stuff:
• Dograh is BSD-2 licensed and always will be. No bait and switch. Everything we build goes into the open source.

Just trying to build something useful and keep the lights on. If you can check it out and give us a star it would be a blessing ❤️ , but if not, I love you anyway :)

https://github.com/dograh-hq/dograh

Docs: https://docs.dograh.com/

Tech stack if anyone's curious: FastAPI, Next.js, forked Pipecat, Langfuse.

also an article on itsfoss:

https://itsfoss.com/news/session-call-for-donations/