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Memories Add

by Mem0 Cloud in Email & messaging

x402 APIPassing, checked 3 h ago

Store memories from a conversation, like mem0's add: an AI model extracts durable facts about the user from the messages (or, with infer=false, stores each message as is), embeds them and saves them privately under your memory_key (a secret string you generate; required). Identical facts are stored once. Needs at least one of user_id, agent_id, app_id, run_id. Memories are kept for 365 days. Returns {event_id, status, results:[{id, memory, event: ADD|NONE}]}.

POST https://mem0-cloud.saastemly.com/v3/memories/add

Last 30 days

All checks passedSome failedAll failedNot checked
Uptime
100%
Response time
66 ms typical, 66 ms slowest 5%
Last check
3 h ago
Next check
any minute now

How to call it

# See the payment challenge (nothing is charged)
curl -i -X POST "https://mem0-cloud.saastemly.com/v3/memories/add" \
  -H "content-type: application/json" \
  -d '{"memory_key":"mk_7f3a9c1e5b2d48a6b0c4e9d1","messages":[{"content":"I just moved to San Francisco from New York and I prefer vegetarian food.","role":"user"},{"content":"Got it, I'll remember that.","role":"assistant"}],"metadata":{"source":"onboarding"},"user_id":"alice"}'
import { wrapFetchWithPayment } from "@x402/fetch";
import { x402Client } from "@x402/core/client";
import { ExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

const client = new x402Client().register(
  "eip155:8453",
  new ExactEvmScheme(privateKeyToAccount(process.env.AGENT_KEY)),
);
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? Preflight it first for $0.03:
// GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fmem0-cloud.saastemly.com%2Fv3%2Fmemories%2Fadd
const res = await pay("https://mem0-cloud.saastemly.com/v3/memories/add", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({"memory_key":"mk_7f3a9c1e5b2d48a6b0c4e9d1","messages":[{"content":"I just moved to San Francisco from New York and I prefer vegetarian food.","role":"user"},{"content":"Got it, I'll remember that.","role":"assistant"}],"metadata":{"source":"onboarding"},"user_id":"alice"}),
});
console.log(await res.json());

Example input

{
  "memory_key": "mk_7f3a9c1e5b2d48a6b0c4e9d1",
  "messages": [
    {
      "content": "I just moved to San Francisco from New York and I prefer vegetarian food.",
      "role": "user"
    },
    {
      "content": "Got it, I'll remember that.",
      "role": "assistant"
    }
  ],
  "metadata": {
    "source": "onboarding"
  },
  "user_id": "alice"
}

Example output

{
  "event_id": "2c4d1f44-4f7b-4b2f-9f6e-7b5b4f5a1234",
  "results": [
    {
      "event": "ADD",
      "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "memory": "User moved to San Francisco from New York.",
      "user_id": "alice"
    },
    {
      "event": "ADD",
      "id": "9d1b7c2e-5f0a-4e3b-8c6d-1a2b3c4d5e6f",
      "memory": "User prefers vegetarian food.",
      "user_id": "alice"
    }
  ],
  "status": "SUCCEEDED"
}

Security scan

  • No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.

Recent checks

WhenResultHTTPTimePrice
3 h agoPassed40266 ms$0.008