Store Batch

POST /v1/store/batch — Store up to 100 memories in a single request.

POST /v1/store/batch

Store Batch

cURL

curl --request POST \
  --url https://api.memoclaw.com/v1/store/batch \
  --header 'Content-Type: application/json' \
  --data '
{
  "memories": [
    {
      "memories[].content": "<string>",
      "memories[].metadata": {},
      "memories[].importance": 123,
      "memories[].namespace": "<string>",
      "memories[].memory_type": "<string>",
      "memories[].session_id": "<string>",
      "memories[].agent_id": "<string>",
      "memories[].expires_at": "<string>",
      "memories[].pinned": true,
      "memories[].immutable": true
    }
  ]
}
'

import requests

url = "https://api.memoclaw.com/v1/store/batch"

payload = { "memories": [
        {
            "memories[].content": "<string>",
            "memories[].metadata": {},
            "memories[].importance": 123,
            "memories[].namespace": "<string>",
            "memories[].memory_type": "<string>",
            "memories[].session_id": "<string>",
            "memories[].agent_id": "<string>",
            "memories[].expires_at": "<string>",
            "memories[].pinned": True,
            "memories[].immutable": True
        }
    ] }
headers = {"Content-Type": "application/json"}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    memories: [
      {
        'memories[].content': '<string>',
        'memories[].metadata': {},
        'memories[].importance': 123,
        'memories[].namespace': '<string>',
        'memories[].memory_type': '<string>',
        'memories[].session_id': '<string>',
        'memories[].agent_id': '<string>',
        'memories[].expires_at': '<string>',
        'memories[].pinned': true,
        'memories[].immutable': true
      }
    ]
  })
};

fetch('https://api.memoclaw.com/v1/store/batch', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.memoclaw.com/v1/store/batch",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'memories' => [
        [
                'memories[].content' => '<string>',
                'memories[].metadata' => [
                                
                ],
                'memories[].importance' => 123,
                'memories[].namespace' => '<string>',
                'memories[].memory_type' => '<string>',
                'memories[].session_id' => '<string>',
                'memories[].agent_id' => '<string>',
                'memories[].expires_at' => '<string>',
                'memories[].pinned' => true,
                'memories[].immutable' => true
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.memoclaw.com/v1/store/batch"

	payload := strings.NewReader("{\n  \"memories\": [\n    {\n      \"memories[].content\": \"<string>\",\n      \"memories[].metadata\": {},\n      \"memories[].importance\": 123,\n      \"memories[].namespace\": \"<string>\",\n      \"memories[].memory_type\": \"<string>\",\n      \"memories[].session_id\": \"<string>\",\n      \"memories[].agent_id\": \"<string>\",\n      \"memories[].expires_at\": \"<string>\",\n      \"memories[].pinned\": true,\n      \"memories[].immutable\": true\n    }\n  ]\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.memoclaw.com/v1/store/batch")
  .header("Content-Type", "application/json")
  .body("{\n  \"memories\": [\n    {\n      \"memories[].content\": \"<string>\",\n      \"memories[].metadata\": {},\n      \"memories[].importance\": 123,\n      \"memories[].namespace\": \"<string>\",\n      \"memories[].memory_type\": \"<string>\",\n      \"memories[].session_id\": \"<string>\",\n      \"memories[].agent_id\": \"<string>\",\n      \"memories[].expires_at\": \"<string>\",\n      \"memories[].pinned\": true,\n      \"memories[].immutable\": true\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.memoclaw.com/v1/store/batch")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n  \"memories\": [\n    {\n      \"memories[].content\": \"<string>\",\n      \"memories[].metadata\": {},\n      \"memories[].importance\": 123,\n      \"memories[].namespace\": \"<string>\",\n      \"memories[].memory_type\": \"<string>\",\n      \"memories[].session_id\": \"<string>\",\n      \"memories[].agent_id\": \"<string>\",\n      \"memories[].expires_at\": \"<string>\",\n      \"memories[].pinned\": true,\n      \"memories[].immutable\": true\n    }\n  ]\n}"

response = http.request(request)
puts response.read_body

200

{
  "ids": [
    "<string>"
  ],
  "stored": true,
  "count": 123,
  "deduplicated_count": 123,
  "tokens_used": 123
}

Price: $0.04 USDC

Request Body

memories · array · required

Array of memory objects. Min 1, max 100. Each object accepts the same fields as Store Memory.

Show Memory object fields

memories[].content · string · required

The memory text. Max 8,192 characters.

memories[].metadata · object

Arbitrary key-value metadata. Max 4 KB, 20 keys, 3 levels deep.

memories[].importance · number

Float between 0 and 1. Default: 0.5.

memories[].namespace · string

Namespace to isolate memories. Default: "default". Max 255 characters.

memories[].memory_type · string

One of: correction, preference, decision, project, observation, general. Default: "general".

memories[].session_id · string

Session identifier. Max 255 characters.

memories[].agent_id · string

Agent identifier. Max 255 characters.

memories[].expires_at · string

ISO 8601 date string. Must be in the future.

memories[].pinned · boolean

Pin this memory to exempt it from decay. Default: false.

memories[].immutable · boolean

Lock the memory from future updates and deletes. Default: false.

Response (201 Created)

ids · string[]

Array of UUIDs for the stored memories.

stored · boolean

Always true.

count · number

Number of memories stored.

deduplicated_count · number

Number of memories that were deduplicated (merged with existing similar memories).

tokens_used · number

Total embedding tokens consumed.

Example

curl

curl -X POST https://api.memoclaw.com/v1/store/batch \
  -H "Content-Type: application/json" \
  -d '{
    "memories": [
      {
        "content": "User prefers dark mode and vim keybindings",
        "metadata": { "tags": ["preferences"] },
        "importance": 0.8
      },
      {
        "content": "Project uses PostgreSQL with pgvector extension",
        "metadata": { "tags": ["stack", "database"] },
        "importance": 0.6
      }
    ]
  }'

const response = await fetch("https://api.memoclaw.com/v1/store/batch", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    memories: [
      {
        content: "User prefers dark mode and vim keybindings",
        metadata: { tags: ["preferences"] },
        importance: 0.8,
      },
      {
        content: "Project uses PostgreSQL with pgvector extension",
        metadata: { tags: ["stack", "database"] },
        importance: 0.6,
      },
    ],
  }),
});

const data = await response.json();

from memoclaw import MemoClaw

client = MemoClaw()
result = client.store_batch([
    {"content": "User prefers dark mode and vim keybindings", "metadata": {"tags": ["preferences"]}, "importance": 0.8},
    {"content": "Project uses PostgreSQL with pgvector extension", "metadata": {"tags": ["stack", "database"]}, "importance": 0.6},
])

Response

{
  "ids": [
    "550e8400-e29b-41d4-a716-446655440000",
    "6ba7b810-9dad-11d1-80b4-00c04fd430c8"
  ],
  "stored": true,
  "count": 2,
  "deduplicated_count": 0,
  "tokens_used": 28
}