OpenGradient The leading research lab building at the frontier of Al and blockchain computing
Our primary research focus revolves around decentralized solutions for confidential & verifiable computing and enabling context-aware Al with memory.
























We build AI that remembers — and evolves.
OpenGradient began with a simple insight: traditional AI systems lack transparency around how user data is computed over and constrain users through platform-specific data limitations. By building AI infrastructure to enable verifiable compute, support persistent memory, and secure user‑owned data, we can unlock human‑level contextual intelligence powered by private data and the ability for AI to truly understand and collaborate with people.
Our research-first approach prioritizes security, user ownership, and privacy. We believe individuals should control their AI interactions, with the ability to own their context across different platforms while maintaining cryptographic proof of authenticity.
Through open protocols and responsible scaling, we're building the bedrock for secure and transparent AI systems that remember, learn, and grow alongside their users — always in service of human agency and autonomy.
One context protocol, unlimited learning.
Fragmented Context
Social Media
Interests and Social Graph
Conversations
AI Chat Threads
User Metadata
Inferred Preferences
Secure Context Protocol

E2E Encryption + Hardware Enclaves
AI Platforms
ChatGPT
by OpenAI
Claude
by Anthropic
Gemini
by Google
OpenGradient Network
L1 Network
Decentralized Infrastructure
High Performance
Designed to Scale
Secure & Confidential
Cryptographically Verified and Secured
A secure and confidential context protocol that interops with any AI platform — enabling seamless personalization and optimization for users.

OpenGradient breathes open-source - check out our other solutions:
Research Highlights
Breakthroughs in AI memory, contextual safety, and open standards.
MemSync Research & Development
Research insights and learnings in developing state-of-the-art AI memory
Optimizing AMMs with ML Risk Forecasting
Optimizing AMM trading liquidity pools with on-chain ML models
Verticals of Applied AI in Web3
Exploring use-cases of AI powered by OpenGradient for Web3 applications
What’s New
Join Our Community
Excited about AI that learns from memory?
Join our team of researchers, engineers, and visionaries working on the future of context-aware computing for AI
We're actively hiring across research, engineering, and product roles. Remote-friendly with competitive compensation and equity.