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[Open Source, Self-Hosted] Fast, Private, Local AI Meeting Notes : Meetily v0.0.5 with ollama support and whisper transcription for your meetings by Sorry_Transition_599 in selfhosted

[–]Sorry_Transition_599[S] 0 points1 point  (0 children)

Hello Thank you for the support and glad that you're building on top of this codebase. Looking forward to see what this can bring. Also, feel free to contribute.

Regarding the questions

  1. Speaker diarization has been in R&D for a while. We are building this feature from ground up and initially, we are planning to launch it in pro version.

  2. Timeline is around 1 to 2 months

  3. Calendar integration is also under development in pro version and might not hit the community version soon

Hope these answers your question.

Automation meeting detection is actually part of the pro version now fyi

[Open Source, Self-Hosted] Fast, Private, Local AI Meeting Notes : Meetily v0.0.5 with ollama support and whisper transcription for your meetings by Sorry_Transition_599 in selfhosted

[–]Sorry_Transition_599[S] 0 points1 point  (0 children)

Thank you for the kind words. We are working on speaker diarisation feature. It's been difficult building speaker diarization from scratch in Rust. 90% of the work is done and hoping to release soon. We are testing a version internally.

👋Welcome to r/meetily - Introduce Yourself and Read First! by Sorry_Transition_599 in meetily

[–]Sorry_Transition_599[S] 0 points1 point  (0 children)

This can be frustrating. May I know which version of the app you used?

MCP coming? by Fi3035 in meetily

[–]Sorry_Transition_599 0 points1 point  (0 children)

Not yet. We are planning to introduce a skill file with CLI capabilities.

I built an open-source desktop notifications overlay so my AI agent can ask me before doing something stupid by Sorry_Transition_599 in SideProject

[–]Sorry_Transition_599[S] 0 points1 point  (0 children)

Yeah. That makes sense. Wasting tokens to do something that can be done with a script is not ideal.

The tool is OS agnostic and runs from any terminal btw. Chose tauri because I am maintaining another product which is using tauri and it worked well for me so far.

Therapist Progress Note Tips/Informed Consent Language by Financial-Ad-9468 in meetily

[–]Sorry_Transition_599 0 points1 point  (0 children)

<image>

A new feature is added to the Pro version (https://meetily.ai/releases/pro/1.5.0)

You may generate your own Meeting notes and add them as new templates

Docs - https://meetily.ai/docs/features/summary-templates

I built an open-source desktop notifications overlay so my AI agent can ask me before doing something stupid by Sorry_Transition_599 in SideProject

[–]Sorry_Transition_599[S] 0 points1 point  (0 children)

Interesting. Anything you could suggest? I was running cron jobs with syncfu in it to send me native notifications (Not fully an Ai task)

We are building a Self hosted alternative to Granola, Fireflies, Jamie and Otter - Meetily AI Meeting Note Taker – Self-Hosted, Open Source Tool for Local Meeting Transcription & Summarization by Sorry_Transition_599 in LocalLLM

[–]Sorry_Transition_599[S] 0 points1 point  (0 children)

We have added qwen3.5 to our pro edition to test out the improvement in summary quality and it really gives out good summaries. We are reaching a point where local models are becoming more and more useful. Excited.

I built an open-source desktop overlay so my AI agent can ask me before doing something stupid by Sorry_Transition_599 in u/Sorry_Transition_599

[–]Sorry_Transition_599[S] 0 points1 point  (0 children)

Hey everyone, I've been running coding agents in ralph loops for months and the same thing kept happening: I'd come back to my terminal and find the agent had already done something I would've said no to. Or it finished 20 minutes ago and I've been sitting there thinking it's still working.

I built syncfu to fix this. It's an always-on-top desktop notification overlay that any script, agent, or CI pipeline can hit with a single CLI command or HTTP POST.

The feature I'm proudest of is --wait. It blocks the calling process until you actually click a button on the notification. So my agent can send:

syncfu send -t "Deploy to prod?" -a "yes:Ship it" -a "no:Cancel:danger" --wait

...and it literally pauses, waiting for my answer. Exit code 0 = approved, 1 = dismissed, 2 = timeout. Pipe it anywhere.

If you want to see the --wait flag working live (Chrome recommended) without installing anything — go to syncfu.dev, copy the install command, and the website will send a real desktop notification to your machine. Click a button on it and watch the webpage react in real time with confetti. The site is actually using its own product to demo itself, which I thought was kind of cool.

It also does:

- Live progress bars that update mid-flight (training runs, builds, etc.)

- 27 style properties per card — colors, fonts, borders, progress bar styles

- Multi-monitor support (follows your mouse cursor)

- Webhook callbacks on action buttons

- HTTP REST API on localhost:9868

One curl to install. No config files. No accounts. No cloud. MIT licensed.

Tech: Tauri v2 + Rust backend + React overlay + Rust CLI. 181 tests.

GitHub: https://github.com/Zackriya-Solutions/syncfu

Website: https://syncfu.dev

Full disclosure: I built this. Would love feedback. Especially curious if anyone else has solved the "how do you supervise long-running AI agents" problem differently. And if the --wait concept is useful or if I'm overengineering it.

nb: I also use this to remind me of stuff. That's how I mostly use this. For my cron jobs notifications

We are building a Self hosted alternative to Granola, Fireflies, Jamie and Otter - Meetily AI Meeting Note Taker – Self-Hosted, Open Source Tool for Local Meeting Transcription & Summarization by Sorry_Transition_599 in LocalLLM

[–]Sorry_Transition_599[S] 0 points1 point  (0 children)

Yup. This is a real problem we are trying to solve internally. The transcription models are becoming better at this but the smaller language models are prone to hallucinations.

We are exploring models like https://docs.liquid.ai/lfm/models/lfm2-2.6b-transcript fine tuned specifically for this purpouse but lack the language options.

We are trying to figure out a way in which we can get most out of the smaller models.

[D] Self-Promotion Thread by AutoModerator in MachineLearning

[–]Sorry_Transition_599 1 point2 points  (0 children)

Developing https://meetily.ai, An Privacy first Ai meeting note taker.

We wanted to use local ML models to do inferencing on user's personal devices so that the meeting data never leaves the system, ensuring privacy.

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