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import Supermemory from "supermemory"
const client = new Supermemory()
const USER_ID = "dhravya"
const conversation = [
{ role: "assistant", content: "Hello, how are you doing?" },
{
role: "user",
content: "Hello! I am Dhravya. I am 20 years old. I love to code!",
},
{ role: "user", content: "Can I go to the club?" },
]
// Get user profile + relevant memories for context
const profile = await client.profile({
containerTag: USER_ID,
q: conversation.at(-1)!.content,
})
const context = `Static profile:
${profile.profile.static.join("\n")}
Dynamic profile:
${profile.profile.dynamic.join("\n")}
Relevant memories:
${profile.searchResults?.results.map((r) => r["content"]).join("\n")}`
// Build messages with memory-enriched context
const messages = [
{ role: "system", content: `User context:\n${context}` },
...conversation,
]
// const response = await llm.chat({ messages });
// Store conversation for future context
await client.add({
content: conversation.map((m) => `${m.role}: ${m.content}`).join("\n"),
containerTag: USER_ID,
})
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