curl --request POST \
  --url https://api.memmachine.ai/v2/memories/search \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data @- <<EOF
{
  "query": "What was the user's last conversation about finance?",
  "project_id": "",
  "agent_mode": false,
  "expand_context": 0,
  "filter": "metadata.user_id=123 AND metadata.session_id=abc",
  "score_threshold": 0,
  "set_metadata": {},
  "top_k": 5,
  "types": [
    "episodic",
    "semantic"
  ]
}
EOF

import requests

url = "https://api.memmachine.ai/v2/memories/search"

payload = {
    "query": "What was the user's last conversation about finance?",
    "project_id": "",
    "agent_mode": False,
    "expand_context": 0,
    "filter": "metadata.user_id=123 AND metadata.session_id=abc",
    "score_threshold": 0,
    "set_metadata": {},
    "top_k": 5,
    "types": ["episodic", "semantic"]
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    query: 'What was the user\'s last conversation about finance?',
    project_id: '',
    agent_mode: false,
    expand_context: 0,
    filter: 'metadata.user_id=123 AND metadata.session_id=abc',
    score_threshold: 0,
    set_metadata: {},
    top_k: 5,
    types: ['episodic', 'semantic']
  })
};

fetch('https://api.memmachine.ai/v2/memories/search', 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.memmachine.ai/v2/memories/search",
  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([
    'query' => 'What was the user\'s last conversation about finance?',
    'project_id' => '',
    'agent_mode' => false,
    'expand_context' => 0,
    'filter' => 'metadata.user_id=123 AND metadata.session_id=abc',
    'score_threshold' => 0,
    'set_metadata' => [
        
    ],
    'top_k' => 5,
    'types' => [
        'episodic',
        'semantic'
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "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.memmachine.ai/v2/memories/search"

	payload := strings.NewReader("{\n  \"query\": \"What was the user's last conversation about finance?\",\n  \"project_id\": \"\",\n  \"agent_mode\": false,\n  \"expand_context\": 0,\n  \"filter\": \"metadata.user_id=123 AND metadata.session_id=abc\",\n  \"score_threshold\": 0,\n  \"set_metadata\": {},\n  \"top_k\": 5,\n  \"types\": [\n    \"episodic\",\n    \"semantic\"\n  ]\n}")

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

	req.Header.Add("Authorization", "Bearer <token>")
	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.memmachine.ai/v2/memories/search")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"query\": \"What was the user's last conversation about finance?\",\n  \"project_id\": \"\",\n  \"agent_mode\": false,\n  \"expand_context\": 0,\n  \"filter\": \"metadata.user_id=123 AND metadata.session_id=abc\",\n  \"score_threshold\": 0,\n  \"set_metadata\": {},\n  \"top_k\": 5,\n  \"types\": [\n    \"episodic\",\n    \"semantic\"\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.memmachine.ai/v2/memories/search")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"query\": \"What was the user's last conversation about finance?\",\n  \"project_id\": \"\",\n  \"agent_mode\": false,\n  \"expand_context\": 0,\n  \"filter\": \"metadata.user_id=123 AND metadata.session_id=abc\",\n  \"score_threshold\": 0,\n  \"set_metadata\": {},\n  \"top_k\": 5,\n  \"types\": [\n    \"episodic\",\n    \"semantic\"\n  ]\n}"

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

{
  "content": {
    "episodic_memory": {
      "long_term_memory": {
        "episodes": [
          {
            "content": "<string>",
            "producer_id": "<string>",
            "producer_role": "<string>",
            "uid": "<string>",
            "created_at": "2023-11-07T05:31:56Z",
            "episode_type": "message",
            "metadata": {},
            "produced_for_id": "<string>",
            "score": 123
          }
        ]
      },
      "short_term_memory": {
        "episode_summary": [
          "<string>"
        ],
        "episodes": [
          {
            "content": "<string>",
            "producer_id": "<string>",
            "producer_role": "<string>",
            "uid": "<string>",
            "created_at": "2023-11-07T05:31:56Z",
            "episode_type": "message",
            "metadata": {},
            "produced_for_id": "<string>",
            "score": 123
          }
        ]
      }
    },
    "semantic_memory": [
      {
        "category": "<string>",
        "feature_name": "<string>",
        "tag": "<string>",
        "value": "<string>",
        "metadata": {
          "citations": [
            "<string>"
          ],
          "id": "<string>",
          "other": {}
        },
        "set_id": "<string>"
      }
    ]
  },
  "status": 0
}

{
  "code": 123,
  "message": "<string>"
}