Video
ltx-video-mac
Mac-native app generating AI video on-device with Apple Silicon — LTX, MiniMax.
★ 427 SterneMIT
Anleitung ansehen →humla ist ein Open-Source-Projekt aus der Kategorie Produktivität von michaelwilhelmsen (michaelwilhelmsen/humla auf GitHub). Es hat 293 Sterne auf GitHub und 35 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 2. Oktober 2026 auf GitHub aktualisiert.
Self-hosted productivity: open-source ai meeting notes for mac. records mic + sys.
Fetch the source code onto your machine.
Compile the release binary with Cargo.
Copy the sample config and adjust it.
Launch the compiled binary.
Built around ai for a focused workflow.
Built around apple silicon for a focused workflow.
Built around granola alternative for a focused workflow.
Built around local first for a focused workflow.
Inspect, fork, and modify every line of the code.
Run it on your own machine — no account lock-in.
Get the source on your machine.
git clone https://github.com/michaelwilhelmsen/humla.gitCompile with Cargo.
cd humla && cargo build --releaseRun the release binary.
cd humla && ./target/release/humlaIt open-source AI meeting notes for Mac. Records mic + system audio with no bot, transcribes on-device or via OpenAI / Deepgram / Groq, identifies speakers offline, and writes summaries that fuse your notes with the transcript. Ask your notes and get cited answers. Tauri 2 + Rust + Swift, giving you a working starting point you can run and adapt.
Yes — the code is open-source, so you can use and modify it without a license fee.
Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.
It is primarily written in Rust, so you will need that toolchain to build or extend it.
The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.
Mac-native app generating AI video on-device with Apple Silicon — LTX, MiniMax.
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.