Productividad
dav-mcp
Let AI agents manage your calendar, contacts, and tasks.
★ 36 estrellasMIT
Ver la guía →LokalBot es un proyecto de productividad de código abierto de stevyhacker (stevyhacker/LokalBot en GitHub). Tiene 48 estrellas en GitHub y 7 bifurcaciones, se publica bajo la licencia GPL-3.0 y se actualizó por última vez en GitHub el 4 de octubre de 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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Los demás proyectos de Productividad con más estrellas del catálogo de LibreAI: la lista realista de alternativas si LokalBot no es lo que buscas.
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Proyectos de Productividad cercanos en el catálogo, los más próximos en estrellas a LokalBot: sigue explorando a ambos lados.
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Token-efficient CLI designed for Lark/Feishu APIs.
Consent-first email on your own IMAP mailboxes, with optional AI help.
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.