Deploy Contact Memory in minutes for Agents built on
See API in action
Scenario 1
Attach Documents and their Contents ( PDF, Image ) to Contact Memory
Your AI meets someone new. Without skipping a beat, the Contact Memory API creates a profile, notes key details, and builds context as the conversation unfolds. Even if a name or identity isn’t clear yet, the system can store conversation threads, interests, and preferences for future reference.
Scenario 2
Handles Multiple users with shared contexts across multiple channels
Your AI handles complex multi-participant interactions by design. Each contact maintains its own memory stream while understanding relationships and shared context. One simple API call fetches and updates the right context for everyone in the room.
Scenario 3
Has ultra low latency memory retrieval compatible with voice agents.
Contact Memory API handles sensitive data validation automatically. Every contact lookup first runs through auth gates - DOB match? Email verified? Only after passing the required security checks does your contact memory become accessible. No custom security code needed.
Contact Memory
Help your agents operate in the real world with real people
SOME1
Contact
Memory
Remembers who people are, not just what they said
Builds persistent profiles that evolve over time
Understands organizational hierarchies
Maintains security at the identity level
Cross-references interactions across channels
Progressive learning from each interaction
Understands roles and access levels
Real-time context updates
Maps relationship networks automatically
Identity verification built-in
Ultra Low Latency Memory Retrieval
Handles multi-participant contexts
Time-aware memory management
Auto-enriches contact profiles
Generic
Rag
Memory
Only matches similar text content
Starts fresh with each query
Treats all content equally
Document-level security only
Separate searches for each channel
Static document retrieval
No built-in role awareness
Requires manual document updates
No relationship tracking
No identity management
High Latency Memory Retrieval
Single-document focus
No temporal understanding
Static information only
Use cases
Implementation