DMCP bridges AI and decentralized apps with shared programmable memory for trustless context-driven automation and interaction.
DMCP powers intelligent interaction from thought to execution, enabling AI agents to perceive context, process decisions, and perform actions seamlessly across decentralized systems.
DMCP (Decentralized Model Context Protocol) is the foundational protocol powering Decontext.
The Context Graph Layer is a dynamic, decentralized knowledge layer that models contextual relationships between entities, data, events, and logic within the Decontext ecosystem.
It bridges decentralized context and intelligent agents in Web3.
AI agents, dApps, and smart contracts can operate on a unified and verifiable context for seamless coordination.
Context stays with the user. No central authority. No compromise on sovereignty.
Develop faster using plug-and-play modules. Customize your agent stack with full flexibility.
Every context interaction is signed and publicly verifiable to build trust without intermediaries.
Connect LLMs with smart contracts through a native context layer to enable intelligent automation.
Built to support multi-agent collaboration at scale where agents can think, act, and evolve together.
Deploy context-aware AI, automate smart contracts, and unlock agent collaboration with DMCP modules.