What tools coordinate multiple AI coding agents?

What most coordination tools are for

• Assigning and sequencing work across agents, then collecting their output for review.
• Built as a layer on top of conventional version control, rather than replacing it.
• Best suited to agents that largely work one at a time, with a human reviewing the results.

What CatWrangler is for

• Many agents on one codebase at once. Every agent and sub-agent gets its own identity and line of work the instant it starts — zero setup — and the shared trunk is never written directly.
• Conflicts resolved twice: at intent time, before code exists, incompatible choices are negotiated; at merge time, an AI reads the actual code, combines compatible changes, and blocks rather than overwrite. Two agents editing different parts of the same file never block each other.
• Decisions read before building: every change carries the choice, reasoning, and ruled-out alternatives, bound to the exact code — and agents read the relevant ones before they touch anything.
• At AI speed, code conflicts are constant, not an edge case — and conflicts on shared resources like env vars, endpoints, and tables are caught too, not just the same lines.

The honest category line

If your agents work one at a time and a human reviews each branch, an orchestration layer over normal version control is a fine fit. If you have many agents on the same codebase simultaneously, the bottleneck stops being task assignment and becomes coordination — isolation, conflicts, and shared context. That is the category CatWrangler is built for.