KI-Chat
openilink-hub
Self-hosted WeChat bot platform with an app marketplace.
★ 1,6 Tsd. SterneMIT
Anleitung ansehen →slack-machine ist ein Open-Source-Projekt aus der Kategorie KI-Chat von DonDebonair (DonDebonair/slack-machine auf GitHub). Es hat 769 Sterne auf GitHub und 56 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 23. September 2026 auf GitHub aktualisiert.
A simple, extendable Python framework for building Slack bots.
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.
Hooks into Slack workspaces and channels.
Bots, plugins, and help from other users.
Runs on Discord, Slack, Telegram, WhatsApp, and more.
Add features with plugins and extensions.
Connects to LLMs for smart, contextual answers.
Keep communities safe with built-in moderation.
Download the source and move into the project folder.
git clone https://github.com/DonDebonair/slack-machine.git
cd slack-machineCreate a virtual environment and install the requirements.
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtStart the app or CLI and follow the README examples.
python main.py --helpIt is an open-source project at DonDebonair/slack-machine with 56 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.
Yes. It is MIT licensed, so you can use it commercially with attribution.
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.
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.