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Sesame AI

by Sesame AI, Inc. · 2023
No reviews yet
Free · Sesame's current consumer experience is available as a Preview rather than a conventional paid subscription. The company has not published standard consumer subscription tiers on its current website. Open source
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Sesame AI

Sesame is an AI company building conversational agents designed for natural, voice-first interaction. Its current products include personal AI agents such as Maya, Miles, Simone, and Charlie, which can communicate through voice and text, search the web, perform research, create notes and reminders, and provide summaries after calls. Sesame is also developing intelligent eyewear designed for hands-free interaction.

Key Features

  • Conversational AI agents
  • Voice-first interaction
  • Text interaction
  • Natural conversational speech
  • Context-aware conversations
  • Multiple AI agent personalities
  • Maya voice agent
  • Miles voice agent
  • Simone voice agent
  • Charlie voice agent
  • Web search
  • Deep research
  • Note creation
  • Reminder creation
  • Call summaries
  • Mobile Preview
  • Web Research Preview
  • Hands-free AI interaction
  • Intelligent eyewear development
  • Conversational intelligence
  • Low-latency voice interaction
  • CSM conversational speech model
  • Open-source CSM-1B model
  • Multi-speaker speech generation
  • Context-aware speech generation

Pros & Cons

Pros

  • Focuses strongly on natural voice conversations
  • Provides multiple conversational AI personalities
  • Supports voice and text interaction
  • Agents can search the web
  • Supports deep-dive research
  • Can create notes and reminders
  • Provides call summaries
  • Sesame has released the CSM-1B conversational speech model publicly
  • CSM supports contextual and multi-speaker speech generation
  • Strong focus on low-latency conversational interaction

Cons

  • The consumer product is still presented as a Preview
  • Official language support is currently limited to English
  • Sesame agents can sometimes produce inaccurate information
  • The public CSM-1B model requires significant technical setup and computing resources
  • The CSM-1B implementation is primarily intended for research use rather than a polished consumer API
  • The current product does not provide a broad third-party integration ecosystem comparable to mature AI-agent platforms

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