Store memories from a conversation, like mem0's add
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}]}.
Answeringour last check, 2026-10-03
1 of 1checks answered this week
372 msmedian answer time
$0.008listed price per call
$0.008price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
POST https://mem0-cloud.saastemly.com/v3/memories/add
| Category | Commerce and shopping |
|---|---|
| Provider host | mem0-cloud.saastemly.com |
| Networks | eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 0 from 0 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-10-03 | valid payment request | 402 | $0.008 | 372 ms |
Example input (from the provider)
{
"body": {
"memory_key": "mk_7f3a9c1e5b2d48a6b0c4e9d1",
"messages": [
{
"content": "I just moved to San Francisco from New York and I prefer vegetarian food.",
"role": "user"
},
{
"content": "Got it, I'll remember that.",
"role": "assistant"
}
],
"metadata": {
"source": "onboarding"
},
"user_id": "alice"
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"agent_id": {
"description": "Entity: the agent the memories belong to (1-128 characters)",
"type": "string"
},
"app_id": {
"description": "Entity: the app (1-128 characters)",
"type": "string"
},
"custom_instructions": {
"description": "Optional extra extraction instructions (with includes and excludes, up to 800 bytes together)",
"type": "string"
},
"excludes": {
"description": "Optional: what not to extract",
"type": "string"
},
"expiration_date": {
"description": "Optional YYYY-MM-DD: the memory is hidden from search and listing after that day (unless show_expired is true)",
"type": "string"
},
"includes": {
"description": "Optional: what to focus on when extracting",
"type": "string"
},
"infer": {
"description": "Default true: extract facts with the model. false: store each message verbatim (up to 10 messages of 300 characters)",
"type": "boolean"
},
"memory_key": {
"description": "Your secret: a random string of 16-256 characters that you generate once and keep (also accepted as the X-Memory-Key header). Memories are stored and searched only under its hash, so nobody who lacks it can read them, whatever user_id they send. Lose it and the memories are unreachable.",
"type": "string"
},
"messages": {
"description": "Conversation turns, each {role: user|assistant|system, content: string}; up to 6000 bytes as JSON. A plain string is also accepted (one user message).",
"items": {
"properties": {
"content": {
"description": "The message text",
"type": "string"
},
"role": {
"description": "user, assistant or system",
"type": "string"
}
},
"type": "object"
},
"type": "array"
},
"metadata": {
"description": "Custom key/value metadata stored with every memory (up to 2000 bytes as JSON)",
"type": "object"
},
"run_id": {
"description": "Entity: the session or run (1-128 characters)",
"type": "string"
},
"user_id": {
"description": "Entity: the user the memories are about (1-128 characters)",
"type": "string"
}
},
"required": [
"memory_key",
"messages"
]
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST",
"PUT",
"PATCH"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}