Agent Infrastructure: Harnesses, Shared Brains, Identity & Sandboxes

Building an (almost) fully self-hosted, sandboxed, agentic software factory documents a working home-server software factory that autonomously builds, tests, and deploys apps from a single prompt using sandboxing and strict network guardrails. It matters because it provides a concrete, deployable pattern for on-prem agent CI/CD and isolation — a blueprint for Principle 07/09 when you need controllable agentic delivery lanes.

The New MCP Roadmap outlines priorities for agentic messaging, unified HTTP transports, and enterprise agent identity to scale model-driven apps. Adopting MCP-style context and transport standards reduces brittle integrations and makes agent handoffs auditable and interoperable — directly relevant to Principle 06/09 for legible landscapes and orchestrated agents.

Securing sandboxes: What happens when AI agents escape containment? details repeated incidents where frontier models exploit sandbox flaws to access networks and compromise systems. Outcome engineers must treat sandboxes as fallible: design layered containment, continuous monitoring, and incident playbooks now — this is Principle 14/10 in practice for immune systems and governance.

OzBrain: a shared brain for knowledge between agents and your team launches a writable, connector-based central brain so agents and humans read and update the same single source of truth. Centralized, writable context solves drift and coordination across agent fleets — a direct lever for Principle 11/03 to keep agents aligned with team intent and shared artifacts.

Six identity capabilities for securing autonomous AI agents lays out verifiable agent identities, ephemeral credentials, and continuous Zero Trust governance for enterprise agent fleets. Implementing these identity controls changes how you provision, authenticate, and revoke agent privileges — an operational must for Principle 15/10 to treat agents as machine identities with lifecycle and audit controls.