Merge pull request #10 from gdcc/drift

DRIFT extension for MCP

Author: 4tikhonov

drift/README.md

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+# DRIFT
+
+**Decentralized Resource Identity & Trust Framework (DRIFT)**  
+Created by [Slava Tykhonov](https://github.com/4tykhonov)
+
+---
+
+DRIFT is a decentralized identity and trust layer that propagates **traceable context** — such as sessions, prompts, user metadata, and spans — across AI tools and services in **event-driven environments** like the Model Context Protocol (MCP).
+
+## 🧠 Background: Understanding Data Drift
+
+In software engineering, **data drift** is a key concern that can affect system reliability and trust in data processing pipelines. DRIFT helps mitigate these risks by making identity and changes traceable.
+
+Three common types of drift include:
+
+- **Infrastructure Drift** – Changes in the software environment that can break or invalidate infrastructure configurations.
+- **Structural Drift** – Changes to the data schema that may invalidate databases or data contracts.
+- **Semantic Drift** – Changes in the meaning of data without altering its structure, often caused by multiple developers independently modifying system components.
+
+By assigning decentralized identifiers (DIDs) and enforcing consistent, signed metadata, DRIFT supports systems in managing and auditing these types of drift.
+
+
+## 🔍 What DRIFT Does
+
+DRIFT enables trusted interoperability between distributed AI components by providing unique, verifiable identities for all parts of an AI pipeline.
+
+## ✨ Features
+
+- ✅ Assigns [DIDs (Decentralized Identifiers)](https://www.w3.org/TR/did-core/) to all entities:
+  - Sessions
+  - Prompts
+  - Users
+  - Tools
+
+- 🔐 Uses **public/private key cryptography** to:
+  - Sign events
+  - Verify authenticity of actions and actors
+
+- 🧱 Defines a **consistent metadata structure** for:
+  - Events
+  - Tools
+  - Services
+
+- 🔗 Supports **verifiable logs and data lineage**:
+  - Track where and how data was processed
+  - Ensure transparency in AI workflows
+
+## 📦 Use Cases
+
+- Model Context Protocol (MCP) pipelines
+- Distributed AI systems
+- Event logging with trusted provenance
+- Prompt and session tracking across tools
+
+---
+
+## 🛠️ Getting Started
+
+```bash
+# Clone the project
+cd drift
+python3 drift.py
+```
+