curl --request POST \
  --url https://api.evermind.ai/api/v2/memory/search \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "query": "outdoor hobbies",
  "method": "hybrid",
  "top_k": 10,
  "include_profile": true
}
'

import requests

url = "https://api.evermind.ai/api/v2/memory/search"

payload = {
    "query": "outdoor hobbies",
    "method": "hybrid",
    "top_k": 10,
    "include_profile": True
}
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: 'outdoor hobbies', method: 'hybrid', top_k: 10, include_profile: true})
};

fetch('https://api.evermind.ai/api/v2/memory/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.evermind.ai/api/v2/memory/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' => 'outdoor hobbies',
    'method' => 'hybrid',
    'top_k' => 10,
    'include_profile' => true
  ]),
  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.evermind.ai/api/v2/memory/search"

	payload := strings.NewReader("{\n  \"query\": \"outdoor hobbies\",\n  \"method\": \"hybrid\",\n  \"top_k\": 10,\n  \"include_profile\": true\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.evermind.ai/api/v2/memory/search")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"query\": \"outdoor hobbies\",\n  \"method\": \"hybrid\",\n  \"top_k\": 10,\n  \"include_profile\": true\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.evermind.ai/api/v2/memory/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\": \"outdoor hobbies\",\n  \"method\": \"hybrid\",\n  \"top_k\": 10,\n  \"include_profile\": true\n}"

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

{
  "request_id": "<string>",
  "data": {
    "episodes": [
      {
        "id": "<string>",
        "app_id": "<string>",
        "project_id": "<string>",
        "timestamp": "2023-11-07T05:31:56Z",
        "summary": "<string>",
        "subject": "<string>",
        "episode": "<string>",
        "type": "<string>",
        "score": 123,
        "user_id": "<string>",
        "session_id": "<string>",
        "sender_ids": [
          "<string>"
        ],
        "readable_episode": "<string>",
        "atomic_facts": [
          {
            "id": "<string>",
            "content": "<string>",
            "score": 123
          }
        ],
        "tags": [
          "<string>"
        ]
      }
    ],
    "profiles": [
      {
        "id": "<string>",
        "app_id": "<string>",
        "project_id": "<string>",
        "user_id": "<string>",
        "profile_data": {},
        "created_at": "2023-11-07T05:31:56Z",
        "updated_at": "2023-11-07T05:31:56Z",
        "score": 123
      }
    ],
    "agent_cases": [
      {
        "id": "<string>",
        "app_id": "<string>",
        "project_id": "<string>",
        "agent_id": "<string>",
        "session_id": "<string>",
        "task_intent": "<string>",
        "approach": "<string>",
        "quality_score": 123,
        "timestamp": "2023-11-07T05:31:56Z",
        "score": 123,
        "key_insight": "<string>"
      }
    ],
    "agent_skills": [
      {
        "id": "<string>",
        "app_id": "<string>",
        "project_id": "<string>",
        "agent_id": "<string>",
        "name": "<string>",
        "description": "<string>",
        "content": "<string>",
        "confidence": 123,
        "maturity_score": 123,
        "score": 123,
        "source_case_ids": [
          "<string>"
        ],
        "created_at": "2023-11-07T05:31:56Z",
        "updated_at": "2023-11-07T05:31:56Z"
      }
    ],
    "unprocessed_messages": [
      {
        "id": "<string>",
        "app_id": "<string>",
        "project_id": "<string>",
        "session_id": "<string>",
        "sender_id": "<string>",
        "role": "user",
        "content": "<string>",
        "timestamp": "2023-11-07T05:31:56Z",
        "sender_name": "<string>",
        "tool_calls": [
          {
            "id": "<string>",
            "function": {
              "name": "<string>",
              "arguments": "<string>"
            },
            "type": "function"
          }
        ],
        "tool_call_id": "<string>"
      }
    ]
  }
}

{}

{}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}

{}

{}