Long-term memory
for AI agents,
in every language. AI 에이전트를 위한
장기 기억,
모든 언어에서 동일하게.

from wontopos import Client

mem = Client(api_key="wos-...")
mem.add("she prefers tea over coffee", user_id="alice")

# one call → short-term + long-term + context
ctx = mem.recall("what does alice drink?", user_id="alice")

import { Client } from "wontopos";

const mem = new Client({ apiKey: "wos-..." });
await mem.add("she prefers tea over coffee", { userId: "alice" });

// short + long + context, ready for the LLM
const ctx = await mem.recall("what does alice drink?", { userId: "alice" });

# store a memory
curl -X POST https://api.wontopos.com/api/v1/memory/store \
  -H "X-API-Key: wos-..." -H "Content-Type: application/json" \
  -d '{"user_id":"alice","content":"she prefers tea over coffee"}'

# recall — one call, ready for your prompt
curl -X POST https://api.wontopos.com/api/v1/memory/recall \
  -H "X-API-Key: wos-..." -H "Content-Type: application/json" \
  -d '{"user_id":"alice","query":"what does alice drink?"}'

mem := wontopos.New("wos-...")
mem.Add(ctx, "she prefers tea over coffee", wontopos.User("alice"))

// short + long + context in one call
res, _ := mem.Recall(ctx, "what does alice drink?", wontopos.User("alice"))

use wontopos::Client;

let mem = Client::new("wos-...");
mem.add("she prefers tea over coffee", "alice").await?;

// short + long + context, one call
let ctx = mem.recall("what does alice drink?", "alice").await?;