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ODAM Documentation
API Reference & Guides
ODAM Documentation
The memory layer for your AI applications
🚀
Announcing ODAM Research Results
ODAM achieves 95% personalization, 91% lower latency, and 90% token savings compared to traditional memory systems!
Read the performance analysisGet Started
Quick Example
Python
import requests
# Add memory
response = requests.post(
"https://api.odam.dev/v1/chat",
json={
"message": "Hi, I'm Alex. I'm a developer from Kyiv.",
"user_id": "alex_kyiv"
}
)
# Later conversation
response = requests.post(
"https://api.odam.dev/v1/chat",
json={
"message": "What's my profession?",
"user_id": "alex_kyiv"
}
)
# AI remembers: "You're a developer from Kyiv!"