LLM local
PhoneClaw
Self-hosted local llm: turns phones into local ai agent runtimes with on-devic.
★ 1,3 mil estrelasApache-2.0
Ver o guia →Molio é um projeto de LLM local de código aberto de zhuzhaoyun (zhuzhaoyun/Molio no GitHub). Tem 431 estrelas no GitHub e 55 forks, é publicado sob a licença NOASSERTION e foi atualizado pela última vez no GitHub em 3 de outubro de 2026.
Local-first personal knowledge layer for AI agents.
Change the config to match your workflow, then run it daily.
Decide what you want Molio to do first — local-first personal knowledge layer for AI agents. Build evolving kno.
Pull the latest changes to stay current with fixes.
The README documents setup; start with the install section.
Designed to work with Claude Code.
Working knowledge management support built in.
Working llmwiki support built in.
Your data stays on your machine.
Typed code that is easier to maintain.
Read and audit every line on GitHub.
Download the source and move into the project folder.
git clone https://github.com/zhuzhaoyun/Molio.git
cd molioInstall the Node dependencies.
npm installStart the app or dev server.
npm startThe repo declares no license, so check with the maintainers before using it in anything commercial.
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 NOASSERTION. 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.
Self-hosted local llm: turns phones into local ai agent runtimes with on-devic.
Turn your AI coding chats into reusable skills with IDE extensions.
AI companion desktop app with Live2D avatars, voice, and local LLM.
A local-first context and memory layer for your AI agents.
A local-first 3-in-1 AI memory layer and MCP server.
Pixel-art desktop where your local-first AI agents visibly do real work.
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