Chat com IA
slack-machine
A simple, extendable Python framework for building Slack bots.
★ 769 estrelasMIT
Ver o guia →obsidian_ai_plugin é um projeto de chat com IA de código aberto de Sparky4567 (Sparky4567/obsidian_ai_plugin no GitHub). Tem 68 estrelas no GitHub e 5 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 6 de agosto de 2026.
Bring local LLMs into your Obsidian vault.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Works inside your Obsidian vault and notes.
Drops into Claude Code, Codex, and similar agents.
Connects to LLMs for smart, contextual answers.
Keep communities safe with built-in moderation.
Host the bot on your own infrastructure.
Get a working bot with minimal setup.
Download the source and move into the project folder.
git clone https://github.com/Sparky4567/obsidian_ai_plugin.git
cd obsidian_ai_pluginPull in the Node packages the project needs.
npm installStart the dev server and open the printed URL.
npm run devIt is an open-source project at Sparky4567/obsidian_ai_plugin with 5 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.
Yes. It is Apache-2.0 licensed, so commercial use is allowed with attribution and license notices.
It depends on the project — most cover Discord, Telegram, Slack, WhatsApp, or WeChat; check the README.
Yes. You register a bot with the platform and paste its token into the config.
Yes — that is the main appeal versus hosted bot builders.
A simple, extendable Python framework for building Slack bots.
Self-hosted WeChat bot platform with an app marketplace.
A self-hosted, AI-powered customer service platform.
Turn a local CLI agent into in-vault Obsidian AI chat.
Local AI app and inference engine — open-weight LLMs, fully offline.
Free, open source Obsidian add-on that makes your vault sharper.
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.