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API StatusChangelog
Servo
ByLiorLior

Servo

#29in Chatbots
Stacks10Discussions0
Followers17
OverviewDiscussions

What is Servo?

Servo is an open source conversational AI platform, with a behavior tree editor and connectors to all conversational agents, including FB messenger, Alexa, Twilio and even Angular forms. Written in ES6, it allows super easy inheritance-based extensions.

Servo is a tool in the Chatbots category of a tech stack.

Key Features

A behavior tree visual automation editorConnection to all major NLP/NLU AI enginesSecond-to-none dialog management with context recognition an back trackingRESTful API and major database connectorsSub-processes for reuse and shareConnectors to FB Messenger, Alexa, Twilio, Webspeech, and moreinternal conversation debuggerAutomated dialog testing

Servo Pros & Cons

Pros of Servo

No pros listed yet.

Cons of Servo

No cons listed yet.

Servo Alternatives & Comparisons

What are some alternatives to Servo?

Telegram Bot API

Telegram Bot API

Bots are third-party applications that run inside Telegram. Users can interact with bots by sending them messages, commands and inline requests. You control your bots using HTTPS requests to our bot API.

Dialogflow

Dialogflow

Give users new ways to interact with your product by building engaging voice and text-based conversational apps.

Microsoft Bot Framework

Microsoft Bot Framework

The Microsoft Bot Framework provides just what you need to build and connect intelligent bots that interact naturally wherever your users are talking, from text/sms to Skype, Slack, Office 365 mail and other popular services.

IBM Watson

IBM Watson

It combines artificial intelligence (AI) and sophisticated analytical software for optimal performance as a "question answering" machine.

Messenger Platform

Messenger Platform

With bots and live-messaging tools, you can create a custom experience for your unique audience.

Amazon Lex

Amazon Lex

Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions.

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