What 94.6% Memory Accuracy Means for Your Users | Vectorize

Hindsight Sets a New Standard: #1 on the BEAM Benchmark

What 94.6% memory accuracy means for your users

Your users notice when an agent forgets their preferences or asks the same question twice. Hindsight scores 94.6% on LongMemEval, outperforming every competing memory system across all five evaluation dimensions. Our results were independently reproduced by academic AI researchers and published for peer review.

Overall LongMemEval Scores

Composite scores across all five evaluation dimensions. Higher means your agent remembers more and forgets less.

System Score
GPT-4o 60.2%
Zep 71.2%
Supermemory 85.2%
Hindsight 94.6%

Per-Dimension Breakdown

How each system performs across the five core memory capabilities that your users depend on.

Dimension GPT-4o Zep Supermemory Hindsight
Single-Session 72.1% 78.4% 88.3% 96.2%
Cross-Session 55.8% 68.1% 83.7% 93.8%
Temporal Reasoning 48.3% 74.6% 81.2% 92.1%
Knowledge Update 58.7% 65.3% 84.9% 95.4%
Multi-Hop Reasoning 66.1% 69.8% 88.1% 95.1%

Methodology

All scores on this page come from LongMemEval, a comprehensive benchmark for evaluating long-term memory in conversational AI systems. The benchmark was developed by independent researchers and is the most rigorous public evaluation of agent memory capabilities available today.

LongMemEval tests five core dimensions of memory performance:

Together, these dimensions provide a holistic picture of how well a memory system supports real-world agent workflows where conversations span days, weeks, or months.

Feature Comparison

Performance is only part of the picture. You also need to own your data and deploy on your terms.

System Score License Self-Host
Hindsight 94.6% MIT Yes (Docker)
Supermemory 85.2% Closed Enterprise only
Zep 71.2% Mixed Via Graphiti
GPT-4o 60.2% N/A No

Start building agents that learn

Open source, MIT licensed. Self-host or use Hindsight Cloud.