Agent infrastructure debates turn on boundaries, not autonomy
A useful read of agent architecture debates starts with tool access, execution location and operating cost—not claims of a new release cycle.
A useful read of agent architecture debates starts with tool access, execution location and operating cost—not claims of a new release cycle.
A narrow directory allowlist lets a local agent work with project files without handing it a route to your whole drive.
Run the agent script on Android and send inference to Cloudflare Workers AI, while keeping the limits of this hybrid setup clear.
Wrap destructive MCP actions as approval-required tools in OpenAI Agents SDK, then resume the run only after a person reviews the exact request.
MCP access control, structured tool interfaces and Android execution are useful places for builders to tighten designs, even without a single release to chase.
The right router depends on which providers, fallback behavior and deployment overhead your agent actually needs—not on a feature checklist alone.
Move your local AI agent prototypes beyond mock JSON by connecting the OpenAI Agents SDK to PostgreSQL with Model Context Protocol.