docs: add contributing guide for new contributors

README.md.txt

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+# FastAPI Example
+
+Simple FastAPI backend example.
+
+## Run
+```bash
+pip install fastapi uvicorn
+uvicorn main:app --reload

docs/architecture.md

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+# memU Architecture Overview
+
+memU is designed as a memory infrastructure layer for AI agents and workflows.
+It focuses on how memory is structured, stored, and retrieved across agent interactions.
+
+## Scope of This Repository
+
+This repository focuses on:
+- Agent memory abstractions
+- Memory lifecycle and retrieval concepts
+- Workflow and orchestration logic
+
+It intentionally does NOT include server-side implementations.
+
+## Server-side Components
+
+Server-side APIs and backend services are handled in a separate repository
+(memU-server), which is under active development.
+
+## How Components Fit Together
+
+- memU: Core memory and agent infrastructure
+- memU-server: Backend services and APIs
+- Client / Agents: Consume memory via defined abstractions

main.py.txt

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+from fastapi import FastAPI
+
+app = FastAPI(title="Simple FastAPI App")
+
+@app.get("/")
+def root():
+    return {"message": "API running successfully"}
+
+@app.get("/health")
+def health():
+    return {"status": "ok"}