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Convex demo builds chatbot with agents

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Convex demo builds chatbot with agents
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// 81d agoTUTORIAL

Convex demo builds chatbot with agents

Convex is used here as the realtime backend, database, and agent layer for a simple AI app walkthrough. The demo centers on Convex Agents, showing persistent threads, stored message history, and streaming responses as building blocks for chat features.

// ANALYSIS

Convex is making a strong case that AI app infrastructure should live in the same developer surface as your app backend, not in a pile of disconnected services.

  • Convex Agents persist threads and messages by default, which removes a lot of the boilerplate teams usually build around chat state
  • Streaming support and durable workflows make it a practical fit for production-style assistants, not just toy demos
  • The pitch is bigger than “database plus chatbot” — Convex wants to be the reactive backend where auth, data, workflows, and AI features all meet
  • For developers already using TypeScript-heavy stacks, Convex’s code-first model is a cleaner path than stitching together separate realtime DB, queue, and agent tools
// TAGS
convexagentapiclouddevtool

DISCOVERED

81d ago

2026-03-06

PUBLISHED

81d ago

2026-03-06

RELEVANCE

8/ 10

AUTHOR

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