# Context Graph Layer

### What is the Context Graph?

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 acts as a **semantic brain** for Web3 — connecting fragmented pieces of information across agents, contracts, and dApps into a unified, queryable structure.

> If DMCP is the protocol standard, the Context Graph is the **living dataset** built on top of it.

### Core Concept

The Context Graph represents context as a **graph-based structure** where:

* **Nodes** = Entities (e.g., users, tokens, dApps, wallets)
* **Edges** = Relationships (e.g., owns, voted\_on, funded\_by)
* **Attributes** = Properties of nodes and edges (e.g., reputationScore, voteWeight, role)

Each piece of context is stored in a way that’s:

* Structurally connected
* Easily traversable
* Modular and composable

### Example Visualization

```
cssCopyEdit[User: 0x123]
   ├── owns ──> [Token: 0xABC]
   ├── voted_on ──> [Proposal: 17]
   └── has_reputation_score ──> [85]
```

An AI agent or smart contract could query:

* Who did this user interact with?
* What projects has this user funded?
* What's their behavioral score across platforms?