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📢 Announcing our research paper: Zentry achieves 26% higher accuracy than OpenAI Memory, 91% lower latency, and 90% token savings! Read the paper to learn how we're revolutionizing AI agent memory.

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Overview

The Memory Timestamps feature allows you to specify when a memory was created, regardless of when it’s actually added to the system. This powerful capability enables you to:
  • Maintain accurate chronological ordering of memories
  • Import historical data with proper timestamps
  • Create memories that reflect when events actually occurred
  • Build timelines with precise temporal information
By leveraging custom timestamps, you can ensure that your memory system maintains an accurate representation of when information was generated or events occurred.

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Benefits of Custom Timestamps

Custom timestamps offer several important benefits: • Historical Accuracy: Preserve the exact timing of past events and information. • Data Migration: Seamlessly migrate existing data while maintaining original timestamps. • Time-Sensitive Analysis: Enable time-based analysis and pattern recognition across memories. • Consistent Chronology: Maintain proper ordering of memories for coherent storytelling.

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Using Custom Timestamps

When adding new memories, you can specify a custom timestamp to indicate when the memory was created. This timestamp will be used instead of the current time.

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Adding Memories with Custom Timestamps

import os
import time
from datetime import datetime, timedelta

from Zentry import MemoryClient

os.environ["Zentry_API_KEY"] = "your-api-key"

client = MemoryClient()

# Get the current time
current_time = datetime.now()

# Calculate 5 days ago
five_days_ago = current_time - timedelta(days=5)

# Convert to Unix timestamp (seconds since epoch)
unix_timestamp = int(five_days_ago.timestamp())

# Add memory with custom timestamp
messages = [
    {"role": "user", "content": "I'm travelling to SF"}
]
client.add(messages, user_id="user1", timestamp=unix_timestamp)

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Timestamp Format

When specifying a custom timestamp, you should provide a Unix timestamp (seconds since epoch). This is an integer representing the number of seconds that have elapsed since January 1, 1970 (UTC). For example, to create a memory with a timestamp of January 1, 2023: 
# January 1, 2023 timestamp
january_2023_timestamp = 1672531200  # Unix timestamp for 2023-01-01 00:00:00 UTC

messages = [
    {"role": "user", "content": "I'm travelling to SF"}
]
client.add(messages, user_id="user1", timestamp=january_2023_timestamp)
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