Benchmarks & Research
See how Versanova delivers significant performance improvements across diverse AI tasks. Our research demonstrates the power of memory-enabled learning systems.
Benchmark Results
Versanova consistently improves AI agent performance across various benchmarks, demonstrating the effectiveness of our memory and learning layer.
| Task | Standalone | +Versanova | Improvement |
|---|---|---|---|
GAMEOF24
|
12.0% | 99.0% | +725% |
SWEBENCH-LITE
|
39.2% | 52.2% | +33% |
BROWSER-TASK
|
60.0% | 100.0% | +67% |
BFCL (GLM-4.5)
|
76.58% | 86.75% | +13% |
Across diverse tasks, Versanova delivers massive accuracy gains – all from a single line of integration.
Research & Whitepapers
Explore our research on agent evolution, memory systems, and adaptive intelligence.
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Gradient-Free Agent Evolution
Research on evolutionary approaches to agent improvement without gradient-based methods.
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Self-Evolving Agents: Foundations, Mechanisms, and Practical Pathways to Adaptive Intelligence
Comprehensive exploration of self-evolving agent systems and their practical applications.
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Architecting the Learning Memory Layer for Next-Generation Generative AI Systems
Design principles and architecture for memory-enabled learning systems in generative AI.