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    Announcement

    Retell launches Conversation Memory for AI voice agents

    Retell says a toggle creates an evolving brief for each contact, carrying preferences and follow-ups into later calls.

    Y CombinatorYC
    Retell AIRA
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    TLDR

    Retell announced Conversation Memory, a feature it says brings the work of storing and retrieving information between calls into its platform. Once enabled, it maintains an evolving brief of each contact’s preferences, past discussions and unresolved follow-ups. Retell says agents can skip questions in its Conversation Flow when the information is already available.

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    2 Sources

    Retell AI@retellaiWe’re excited to launch Conversation Memory. Until now, giving an AI voice agent memory meant building a workflow to extract information after each call, store it, and retrieve it for the next conversation. The more context you wanted your agents to remember, the more fields, mappings, and logic you had to configure and maintain. Today, we’re bringing that work natively into Retell. Turn memory on with a simple toggle, and Retell maintains an evolving brief for each contact, including relevant preferences, what’s been discussed, and what still needs follow-up. As conversations progress, the brief updates, carrying useful context forward and clearing resolved action items. That context can also shape the path through your Conversation Flow. With skippable nodes enabled, agents can skip questions when the required information is already available and focus on what still needs an answer. A customer following up on a replacement has already explained the problem. Their next call should pick up where they left off and move the request forward. Learn how to get started: https://www.retellai.com/blog/ai-voice-agent-memory4h
    Y Combinator@ycombinatorRT @retellai: We’re excited to launch Conversation Memory. Until now, giving an AI voice agent memory meant building a workflow to extract…1h

    2 Sources

    Retell AI@retellaiWe’re excited to launch Conversation Memory. Until now, giving an AI voice agent memory meant building a workflow to extract information after each call, store it, and retrieve it for the next conversation. The more context you wanted your agents to remember, the more fields, mappings, and logic you had to configure and maintain. Today, we’re bringing that work natively into Retell. Turn memory on with a simple toggle, and Retell maintains an evolving brief for each contact, including relevant preferences, what’s been discussed, and what still needs follow-up. As conversations progress, the brief updates, carrying useful context forward and clearing resolved action items. That context can also shape the path through your Conversation Flow. With skippable nodes enabled, agents can skip questions when the required information is already available and focus on what still needs an answer. A customer following up on a replacement has already explained the problem. Their next call should pick up where they left off and move the request forward. Learn how to get started: https://www.retellai.com/blog/ai-voice-agent-memory4h
    Y Combinator@ycombinatorRT @retellai: We’re excited to launch Conversation Memory. Until now, giving an AI voice agent memory meant building a workflow to extract…1h