Official company update
Building a Multi-Channel AI Agent with Twilio Conversations and eve
ApplyDjinn context
What else is visible for Twilio?
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Current roles
63
30-day current-market scope
Company stories · 30d
46
46 official · 0 independent
Attention records · 7d
0
0 Google · 0 Polymarket
Coverage mix
Attention sources
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Open roles
63
TWLO share
$289.47
30-day share move
+27.4%
Hiring and market history
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Vacancy history
TWLO closing price
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Vacancy history uses saved daily snapshots through 2026-10-11. News counts are dated publications; attention counts are matched records, not search volume or prediction probabilities.
What the source says
Publisher previewGetting an AI agent to answer a customer's SMS is easy. Getting it to remember that customer next week when they message you on a different channel? That’s where most agent projects give up and start writing their own memory layer. Twilio helps remove that step with one of our tools that we launched earlier this year: Twilio Conversations. Pair it with Vercel's eve framework, and together, they draw a clean line between the two types of memory an agent needs: - Vercel’s eve: holds the short-term memory the running transcript of the current conversation - Twilio Conversations: hold the long-term memory knowledge of the current person (customer profiles and observations extracted automatically) With these two tools, you can spend your time on the agent's behavior rather than the plumbing. Now you can plug in the LLM that you want.
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