Zentry remembers user preferences, adapts to individual needs, and continuously improves over time.
Build smarter AI that learns from every interaction, providing context-rich responses without repetitive questions.
Reduce LLM costs by up to 80% through intelligent data filtering, sending only the most relevant information to AI models.
Deliver more accurate and personalized AI outputs by leveraging historical context and user preferences.
Seamlessly enhance your existing AI solutions with Zentry's memory layer - compatible with OpenAI, Claude, and more.
Ready to start building? Find out more
Developer DocsPlug into any AI framework with universal memory compatibility. From OpenAI to Anthropic, TensorFlow to PyTorch - one memory layer connects them all.
If you've built anything with LLMs, you know this problem: As conversations grow, the model will start dropping context, reasoning degrades, and token costs spike. Zentry fixes this by extracting and organizing only what's important, turning relevant exchanges into dynamic memory or even into a graph when deeper reasoning is needed.
Decentralized memory infrastructure that enhances LLM applications with self-improving capabilities. Zentry remembers user preferences, adapts to individual needs, and continuously improves over time.
Zentry adds a memory layer to AI applications, making them stateful which allows them to store and recall user interactions, preferences, and relevant context. This way, AI apps evolve with every interaction.
Every memory shard is encrypted locally with AES-256 and pinned to IPFS. Only your wallet's private key can decrypt the data—no central servers, no third-party visibility.
Stay connected with intelligent SMS alerts and real-time notifications for security events across the decentralized network.
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