> For the complete documentation index, see [llms.txt](https://docs.dctx.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.dctx.ai/what-is-decontext.md).

# What is Decontext?

**Decontext** is a decentralized infrastructure protocol that transforms how AI agents, smart contracts, and decentralized applications (dApps) interact on Web3. At its core lies the **Decentralized Model Context Protocol (DMCP)** — a blockchain-native standard that enables composable, verifiable, and modular context sharing across agents and applications.

### Why It Matters

In today’s decentralized ecosystem, smart contracts operate in isolation — they lack awareness, adaptability, and historical context. AI agents, on the other hand, need structured data to reason intelligently but often rely on off-chain, opaque, or centralized APIs.

**Decontext bridges that gap.**\
It introduces a trustless, modular layer of **contextual intelligence** that all Web3 components can read, update, and reason with — enabling truly intelligent behavior across the blockchain stack.

### 🧠 Core Vision

> **“Context is the new compute.”**\
> Decontext envisions a future where context becomes a shared and interoperable primitive — just like tokens or contracts — making decentralized systems more intelligent, secure, and responsive.
