ASMR Technique

Overview

ASMR (Agentic Search and Memory Retrieval) is a breakthrough technique developed by Supermemory that uses multi-agent orchestration instead of traditional vector database retrieval.

Architecture

Parallel Reader Agents

The system deploys an agent orchestrator utilizing 3 parallel reader (observer) agents powered by Gemini 2.0 Flash, which read through raw sessions concurrently. Their goal is targeted knowledge extraction across six vectors:

• Personal Information
• Preferences
• Events
• Temporal Data
• Updates
• Assistant Info

Parallel Search Agents

When a question arrives, the system does not query a vector database but instead deploys 3 parallel search agents:

• Agent 1: Searches for direct facts and explicit statements
• Agent 2: Looks for related context, social cues, and implications
• Agent 3: Provides additional perspectives

Performance

ASMR achieved approximately 99% on LongMemEval_s, published on March 22, 2026, putting it ahead of every publicly benchmarked memory system.

Why It Works

By using agents that actively read and reason over stored findings rather than relying on semantic similarity alone, ASMR better handles:

• Contradictory information
• Temporal reasoning
• Multi-session context
• Complex queries requiring synthesis

Pricing

Planned for open-source release in April 2026.