Overview

What is the Open Context Layer?

tl:dr; The Open Context Layer (OCL) is a user-owned system for managing and sharing context across AI agents and digital apps. With OCL, individuals control the context they generate (preferences, identity, history, knowledge, intent) and determine who can access it, when, and how. As we enter an AI-native internet, context becomes the new currency of intelligence. OCL ensures that this context is persistent, portable, private, and programmable, powering smarter, hyper-personalized, and user-aligned digital ecosystems.

The Open Context Layer (OCL) is a decentralized, user-owned, and privacy-preserving system for managing and sharing contexts across AI agents, apps, and digital systems.

Why are we building it?

The way humans interact with the internet is undergoing a once-in-a-generation transformation. Traditional search, static interfaces, and disconnected apps are rapidly giving way to fluid, conversational interactions powered by intelligent agents and large language models (LLMs). In this new era, the Agentic Web, AI agents act on behalf of users, navigating digital spaces, making decisions, and personalizing services in real time.

But to be truly intelligent and helpful, agents need to understand more than the last message, they need context. Who you are. What you're working on. What you care about. Yet today, this context is fragmented across apps, owned by platforms, and often lost with every session.

OCL provides the missing foundation: a portable, persistent, privacy-preserving context layer that makes user's lives easier and puts them back in control.

Instead of starting from scratch in every app, your preferences, memory, and intent follow you: encrypted, under your control, and sharable with explicit consent.

OCL turns context into a first-class, programmable primitive: one that powers hyper-personalization without compromising privacy, and enables apps and agents to work smarter, together.

Our vision is to create a world where:

• Context follows users across apps and agents

• AI assistants remember and adapt to your style and goals

• Users control who sees what, when, and how

• Personalization and privacy are balanced by design

This is the backbone of the Agentic Web, a future of AI systems aligned with individuals, not platforms.

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