Продуктивность
dav-mcp
Let AI agents manage your calendar, contacts, and tasks.
★ 36 звёздMIT
Смотреть руководство →LokalBot — проект с открытым исходным кодом из категории «Продуктивность» от stevyhacker (stevyhacker/LokalBot на GitHub). У него 48 звёзд на GitHub и 7 форков, он распространяется по лицензии GPL-3.0 и последний раз обновлялся на GitHub 4 октября 2026.
Local LLM workhorse that keeps a memory of your workday.
The README documents setup; start with the install section.
Decide what you want LokalBot to do first — local LLM workhorse that keeps a memory of your workday. On-device mee.
Change the config to match your workflow, then run it daily.
Pull the latest changes to stay current with fixes.
Working apple silicon support built in.
Working autocomplete support built in.
Tells who spoke when.
Type by speaking anywhere.
Feels native on Apple platforms.
Free to use; derivatives stay open.
Download the source and move into the project folder.
git clone https://github.com/stevyhacker/LokalBot.git
cd lokalbotBuild the Swift package.
swift buildRun the built product.
.build/debug/app # product name may varyYes, but note the copyleft: it is GPL-3.0 licensed, so distributed derivatives must stay open.
No. It is a self-run project — clone it and run it on your own machine. Some features may optionally call external APIs; check the README.
Yes, that is the point. The code is public, so you can run, modify, and host it yourself.
It is released under GPL-3.0. Read the LICENSE file in the repo for the exact terms.
That depends on the feature. Local-capable parts run offline; anything calling a cloud API needs a connection. Check the docs.
Let AI agents manage your calendar, contacts, and tasks.
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