### Documentation Index

Fetch the complete documentation index at: [/llms.txt](https://docs.mem0.ai/llms.txt)

Use this file to discover all available pages before exploring further.

### cURL Example

```bash
curl -X POST https://api.mem0.ai/v3/memories/search/ \
  -H "Authorization: Token <api-key>" \
  -H "Content-Type: application/json" \
  -d '{\n    "query": "where does the user live?",\n    "filters": {"user_id": "alice"},\n    "top_k": 10\n  }'
```

### Python Example

```python
from mem0 import MemoryClient

client = MemoryClient(api_key="your-api-key")

results = client.search(
    "where does the user live?",
    filters={"user_id": "alice"},
    top_k=10,
)
for r in results["results"]:
    print(r["memory"], r["score"])
```

### JavaScript Example

```javascript
import MemoryClient from "mem0ai";

const client = new MemoryClient({ apiKey: "your-api-key" });

const results = await client.search("where does the user live?", {
  filters: { userId: "alice" },
  topK: 10,
});
for (const r of results.results) {
  console.log(r.memory, r.score);
}
```

### PHP Example

```php
<?php

$curl = curl_init();

curl_setopt_array($curl, [\
  CURLOPT_URL => "https://api.mem0.ai/v3/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' => 'where does the user live?',\
    'filters' => [\
        'user_id' => 'alice'\
    ],\
    'top_k' => 10\
  ]),\
  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;
}
```

### Go Example

```go
package main

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

func main() {

url := "https://api.mem0.ai/v3/memories/search/"

payload := strings.NewReader("{\n  \"query\": \"where does the user live?\",\n  \"filters\": {\n    \"user_id\": \"alice\"\n  },\n  \"top_k\": 10\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))
}
```

### Example Response

```json
{
  "results": [
    {
      "id": "mem-uuid",
      "memory": "User moved to San Francisco from New York in January 2026",
      "score": 0.82,
      "metadata": {},
      "categories": ["location"],
      "created_at": "2026-01-15T10:30:00Z",
      "updated_at": "2026-01-15T10:30:00Z"
    }
  ]
}
```

### Search Parameter Defaults

| Parameter  | Default                |
|------------|------------------------|
| `top_k`    | `10` (range 1–1000)    |
| `threshold` | `0.1` (pass `0.0` to disable) |
| `rerank`    | `false` (pass `true` to enable) |

### Filters Supported
The `filters` object supports complex logical operations (AND, OR, NOT) and comparison operators:
- `in`: Matches any of the values specified
- `gte`: Greater than or equal to
- `lte`: Less than or equal to
- `gt`: Greater than
- `lt`: Less than
- `ne`: Not equal to
- `icontains`: Case-insensitive containment check
- `*`: Wildcard character that matches everything

### Example Cleaned Memory Query
```python
related_memories = client.search(
    query="What are Alice's hobbies?",
    show_expired=False,
    filters={
        "OR": [
            { "user_id": "alice" },
            { "agent_id": {"in": ["travel-agent", "sports-agent"]} }
        ]
    },
)
```

### Conclusion
This document illustrates how to use the Memory API for retrieving memories based on various queries and filters.