What a Local-First AI Agent Orchestrator Should Actually Do
Most AI coding demos focus on the agent itself. The real operational problem is everything around the agent: intake, isolation, review, recovery, and handoff.
Published March 6, 2026
Article
What a Local-First AI Agent Orchestrator Should Actually Do
A checklist for evaluating AI agent orchestration tools across git isolation, runtime control, MCP, webhooks, and review workflows.
Most AI coding demos focus on the agent itself. The real operational problem is everything around the agent: intake, isolation, review, recovery, and handoff.
Isolation has to be built in
A serious orchestrator should give every task its own worktree or equivalent isolation boundary. Without that, parallel work collapses into branch conflicts and cross-task contamination.
The control plane should speak multiple surfaces
A browser dashboard is not enough. Teams also need terminal commands, MCP access for editors, and HTTP endpoints for automations or GitHub event flows.
Review is part of orchestration
Shipping requires diff inspection, PR state, CI visibility, retry flows, and feedback loops. If a tool stops at task launch, it is not really orchestrating the software delivery lifecycle.