Plain Twilio messaging has no memory. Every reply starts blank, so the customer repeats their order number and their question three times, and the conversation feels like talking to a wall.
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README.md
Why this subagent
Plain Twilio messaging has no memory. Every reply starts blank, so the customer repeats their order number and their question three times, and the conversation feels like talking to a wall.
This layer gives your Twilio chats Redis-backed memory so each reply remembers the whole thread. The customer asks once, and the agent answers in context across messages, days apart if needed. You keep your existing Twilio number and flow; the conversation just stops forgetting who it is talking to.
How it runs
Used at step 01 to kick off the pipeline.
Write
Used at step 01 to kick off the pipeline.
WebFetch
Used at step 01 to kick off the pipeline.
WebSearch
Used at step 01 to kick off the pipeline.
Load the conversation history for that number from Redis so context carries across messages.
pending
Generate a reply that fits the thread and the customer's earlier questions.
pending
Send the reply through Twilio and save the updated history back to Redis.
pending
Sample output
json
// Sample output
// (generated when the pipeline finishes)
Given an inbound message and the cached thread for that number, return a reply that stays consistent with everything said earlier.
Unlock the rest
The full agent definition, install snippet, and starter task are gated for community members.
Members get the full `.md` agent file, the npm / pnpm install one-liners, a starter prompt that we've tuned against real runs, and the open-source repo when this automation ships there. One email, magic link, done.