README Enhancement: Improve Architecture Clarity, Security Positioning, and Developer Adoption

[eranra]

Summary

The current README explains what Runspace Agent does, but it can do a better job communicating why developers and organizations should trust and adopt it.

This issue proposes restructuring the README to emphasize:

• Security-first execution
• Clear architecture and trust boundaries
• Agent-agnostic design
• Auditability and governance
• Support for multiple agent ecosystems

The goal is to make the project more approachable for new users while clearly differentiating it from other agent runtimes and frameworks.

---

Motivation

Most AI agent infrastructure projects promote similar capabilities:

• Tool execution
• Agent integration
• Local development workflows
• Runtime environments

However, developers and organizations increasingly ask:

Why should I trust an AI agent to execute actions on my machine?

Runspace Agent has a strong story around isolation, control, and runtime abstraction, but these concepts are not currently highlighted enough in the README.

Improving the README can help visitors quickly understand:

• What problem Runspace Agent solves
• Where the security boundary exists
• How it differs from direct agent-to-tool integrations
• Why a runtime abstraction layer is valuable

---

Proposed README Structure

1. Security-Focused Introduction

Replace a feature-oriented introduction with a concise value proposition:

# Runspace Agent

Secure execution runtime for AI agents.

Runspace Agent provides a controlled execution environment that allows
AI agents such as Claude Code, OpenAI Codex, IBM Bob, Gemini CLI,
and other agent frameworks to safely interact with local development
environments through a standardized runtime layer.