NEW YORK, Sept. 23, 2025 /PRNewswire/ -- OpenGradient, the a16z crypto-backed AI infrastructure company, today announced the launch of MemSync, a breakthrough platform that provides a persistent, secure memory layer for AI systems. MemSync enables context continuity across ChatGPT, Claude, Perplexity, and other leading AI platforms, addressing one of the most significant limitations of current AI assistants: context loss.

OpenGradient launches MemSync, a universal memory layer ending AI context loss across platforms and apps.

The Challenge

AI assistants today operate without long-term memory. Users repeatedly re-explain context, slowing workflows and reducing productivity. This affects developers debugging code, founders refining pitches, and researchers navigating complex subjects.

The MemSync Solution

MemSync establishes a unified memory system that:

Works universally: Carries user context across platforms, applications, and devicesLearns progressively: Improves understanding of user priorities over timeRemains user-controlled: Offers granular permissions for what is stored, shared, and used"We've built powerful AI models, but left them in walled gardens," said Matthew Wang, CEO and Co-Founder of OpenGradient. "MemSync removes those barriers, enabling AI assistants to aggregate all of that context and actively leverage it to improve user experience."

Impact and Performance

243% superior memory performance compared to existing solutions, achieving 0.7344 accuracy versus industry standard 0.2141* (OpenAI's solution)Zero context loss when switching between AI platformsInstant personalization that adapts to individual communication styles and domain expertiseComplete user sovereignty over data storage, permissions, and portabilityEarly adopters report saving an average of 30 minutes daily, with some advanced users experiencing up to a 10x productivity increase.

Beyond Memory: Digital Twins

MemSync's architecture also enables the creation of digital twins—AI representations built from public and authorized private data. Current demonstrations include digital twins of Naval Ravikant and Sydney Sweeney. Future capabilities will extend to creating digital twins of any individual, unlocking new ways to preserve and share human knowledge.

The next frontier will be even more transformative: Soon, users will be able to create a digital twin from any person's profile, fundamentally changing how we preserve and share human knowledge across generations.

"Imagine having a conversation with any expert, creator, or even historical figure based on everything they've ever shared publicly," said Adam Balogh, Co-Founder and CTO of OpenGradient. "Or creating a digital twin of yourself that will be able to automate your work, reply to messages, and do things on your behalf. That's the future we're building."

Availability

MemSync is available now at memsync.ai with:

Free tier for individual users at memsync.aiChrome extension for seamless integration across web platformsDeveloper API for custom implementationsEarly adopter rewards program with exclusive featuresAbout OpenGradient

OpenGradient builds decentralized infrastructure for AI applications. OpenGradient raised $9.5M from a16z Crypto, SVA, SALT and other leading investors, the company's focus revolves around decentralized solutions for confidential & verifiable computing and enabling context-aware Al with memory. The team includes veterans from Google, Meta, Palantir, ex-founders, and PhDs. Learn more at opengradient.ai.

Media Contact

[email protected]

* Performance notes: Reported results reflect OpenGradient internal benchmarks of retrieval and response quality across diverse tasks; methodology and test sets available to qualified reviewers upon request. Results will vary by configuration, data sources, and model selection.

† Digital twins availability varies by region and rights; creation and use require appropriate permissions and compliance with platform policies. Names and likenesses may be used only with authorization where legally required.

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SOURCE OpenGradient