Ecosystem Flow

Flow Diagram (Conceptual)

[ Off-chain Events / Data ] ←────┐
                                 │
                             [Context Oracles]
                                 │
                                 ▼
                          [DMCP Smart Contracts]
                                 │
      ┌──────────────────────────┼───────────────────────────┐
      ▼                          ▼                           ▼
[Context Graph]         [Context Registry]           [Context Modules]
      │                          │                           │
      ▼                          ▼                           ▼
[AI Agents]               [Smart Contracts]              [dApps / UI]
      ▲                          │
      └────────── [Agent Context Interface] ─────────────────┘

Step-by-Step Flow

1. Context Creation

• Developers define a context schema (e.g., user.reputation, dao.activity).

• This schema is registered on-chain through the DMCP.

2. Data Injection

• Context Oracles push off-chain or on-chain event data into the Decontext system.

• This data is written into the Context Graph using the defined schema.

3. Context Management

• The DMCP validates and stores all context entries with versioning and signatures.

• The Context Registry maintains all schemas and active modules.

4. Agent Consumption

• AI agents use the Agent Context Interface (ACI) to query, subscribe, and reason with context.

• Context is injected into LLM prompts or agent memory to guide intelligent behavior.

5. Smart Contract Execution

• Smart contracts import context modules and use real-time context in logic execution (e.g., access control, dynamic pricing, gamified features).

6. dApp Interaction

• Frontends and users interact with context-aware features in real-time.

• Users may view, approve, or even generate ZK proofs tied to private context.