Abstract: In one embodiment, a system includes an automatic speech recognition (ASR) module, a natural-language understanding (NLU) module, a dialog manager, one or more agents, an arbitrator, a delivery system, one or more processors, and a non-transitory memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to receive a user input, process the user input using the ASR module, the NLU module, the dialog manager, one or more of the agents, the arbitrator, and the delivery system, and provide a response to the user input.

Abstract: In one embodiment, a method includes receiving a user request to create a reminder from a client system associated with a user, wherein the user request does not specify an activation-condition for the reminder, determining one or more proactive activation-conditions for the reminder, storing the reminder in a reminder store, receiving one or more inputs associated with the user, determining a user context associated with the user based on the one or more inputs, determining the one or more proactive activation-conditions for the reminder are satisfied based on the user context, and sending instructions for presenting the reminder to the user to the client system responsive to determining the one or more proactive activation-conditions are satisfied.

Abstract: In one embodiment, a method includes receiving a user request from a first user to create a reminder at a client system, wherein the user request does not specify an activation-condition for the reminder, determining proactive activation-conditions for the reminder, determining whether the proactive activation-conditions for the reminder are satisfied based on user context associated with the first user, and presenting the reminder to the first user at the client system responsive to determining the proactive activation-conditions are satisfied.

Abstract: In one embodiment, a method includes receiving a user request to create a reminder from a client system associated with a user, wherein the user request does not specify an activation-condition for the reminder, determining one or more proactive activation-conditions for the reminder, storing the reminder in a reminder store, receiving one or more inputs associated with the user, determining a user context associated with the user based on the one or more inputs, determining the one or more proactive activation-conditions for the reminder are satisfied based on the user context, and sending instructions for presenting the reminder to the user to the client system responsive to determining the one or more proactive activation-conditions are satisfied.

Abstract: In one embodiment, a system includes an automatic speech recognition (ASR) module, a natural-language understanding (NLU) module, a dialog manager, one or more agents, an arbitrator, a delivery system, one or more processors, and a non-transitory memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to receive a user input, process the user input using the ASR module, the NLU module, the dialog manager, one or more of the agents, the arbitrator, and the delivery system, and provide a response to the user input.

Abstract: In one embodiment, a method includes receiving one or more inputs associated with proactive triggers associated with a first user, determining whether the first user is eligible to receive proactive suggestions based on one or more proactive policies, generating one or more proactive suggestions based on the one or more inputs and user context data associated with the first user, selecting one or more of the proactive suggestions based on task history data associated with the first user, and sending instructions for presenting proactive content to the first user to a client system associated the first user, wherein the proactive content comprises the selected proactive suggestions.