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POST
/
integrations
/
chat
curl -X POST 'https://api.memchat.io/integrations/chat' \
  -H 'X-API-Key: YOUR_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
    "platform": "chatgpt",
    "chat_data": [
      {
        "timestamp": "2024-01-15T14:30:00Z",
        "role": "user",
        "content": "Tell me about machine learning applications in healthcare"
      },
      {
        "timestamp": "2024-01-15T14:30:15Z", 
        "role": "assistant",
        "content": "Machine learning has numerous applications in healthcare..."
      }
    ],
    "extract_mode": "conversations"
  }'

{
  "integration_id": "chat_int_789abc",
  "platform": "chatgpt",
  "status": "completed",
  "processing_stats": {
    "total_messages": 24,
    "conversations_identified": 3,
    "memories_extracted": 5,
    "topics_detected": [
      "Machine Learning in Healthcare",
      "Python Programming",
      "Career Development"
    ],
    "date_range": {
      "start": "2024-01-10T09:00:00Z",
      "end": "2024-01-15T17:30:00Z"
    }
  },
  "memories": [
    {
      "memory_id": "mem_chat_001",
      "content": "Discussed machine learning applications in medical diagnosis, specifically how neural networks can improve accuracy in identifying diseases from medical imaging. Learned about specific techniques and real-world implementations.",
      "category": "learning",
      "conversation_topic": "Machine Learning in Healthcare",
      "participants": ["user", "assistant"],
      "start_time": "2024-01-15T14:30:00Z",
      "end_time": "2024-01-15T14:45:00Z"
    }
  ]
}
Import chat histories from various platforms to automatically extract and store conversational memories. 
curl -X POST 'https://api.memchat.io/integrations/chat' \
  -H 'X-API-Key: YOUR_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
    "platform": "chatgpt",
    "chat_data": [
      {
        "timestamp": "2024-01-15T14:30:00Z",
        "role": "user",
        "content": "Tell me about machine learning applications in healthcare"
      },
      {
        "timestamp": "2024-01-15T14:30:15Z", 
        "role": "assistant",
        "content": "Machine learning has numerous applications in healthcare..."
      }
    ],
    "extract_mode": "conversations"
  }'

​
Request Body

​
platform
string
required
Chat platform source. Supported: chatgpt, claude, telegram, whatsapp, slack, discord
​
chat_data
array
required
Array of chat messages
​
extract_mode
string
default:"conversations"
Extraction strategy. Options: conversations, insights, topics, all
​
conversation_settings
object
Settings for conversation processing
​
auto_categorize
boolean
default:"true"
Whether to automatically categorize extracted memories

​
Response

​
integration_id
string
Unique identifier for the chat integration
​
platform
string
Chat platform that was processed
​
status
string
Processing status: processing, completed, error
​
processing_stats
object
Statistics about the processing
​
memories
array
List of extracted memories
{
  "integration_id": "chat_int_789abc",
  "platform": "chatgpt",
  "status": "completed",
  "processing_stats": {
    "total_messages": 24,
    "conversations_identified": 3,
    "memories_extracted": 5,
    "topics_detected": [
      "Machine Learning in Healthcare",
      "Python Programming",
      "Career Development"
    ],
    "date_range": {
      "start": "2024-01-10T09:00:00Z",
      "end": "2024-01-15T17:30:00Z"
    }
  },
  "memories": [
    {
      "memory_id": "mem_chat_001",
      "content": "Discussed machine learning applications in medical diagnosis, specifically how neural networks can improve accuracy in identifying diseases from medical imaging. Learned about specific techniques and real-world implementations.",
      "category": "learning",
      "conversation_topic": "Machine Learning in Healthcare",
      "participants": ["user", "assistant"],
      "start_time": "2024-01-15T14:30:00Z",
      "end_time": "2024-01-15T14:45:00Z"
    }
  ]
}

​
Extraction Modes

Groups related messages into conversation memories, preserving context and flow.
Extracts key insights, learnings, and important information from conversations.
Creates memories organized by topics discussed across conversations.
Combines all extraction modes for comprehensive memory creation.

​
Supported Platforms

  • Export conversations from ChatGPT
  • Identifies learning topics and insights
  • Categories: primarily learning, productivity
  • Claude conversation exports
  • Focus on analytical discussions
  • Categories: learning, productivity, interests
  • Personal and group conversations
  • Relationship and social memories
  • Categories: relationships, interests, travel
  • Professional and community discussions
  • Work-related and interest-based memories
  • Categories: career, relationships, interests

​
Privacy and Security

  • Data Processing: Chat data is processed securely and not stored permanently
  • Participant Privacy: Names and identifiers can be anonymized
  • Content Filtering: Sensitive content is automatically filtered out
  • Retention: Original chat data is deleted after processing
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