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Rasa is an open source machine learning framework to automate text-and voice-based conversations. With Rasa, you can build chatbots on Facebook, Slack, Microsoft Bot Framework, Rocket.Chat, Mattermost, Telegram etc. Rasa's primary purpose is to help you build contextual, layered conversations with lots of back-and-forth. To have a real conversation, you need to have some memory and build on things that were said earlier. Rasa lets you do that in a scalable way.
A Slack bot extendable via plugins. Slackotron has its own internal models that are stored in a Berkeley SQLite database (DB). The models include message, user, channel, and response. A message has one user and channel. A channel has many users and messages. A channel can either be a Slack channel or direct-message (DM). A user has many channels and messages. A response has one message, user, and channel.