Choosing an AI Agent Orchestrator in 2026: A Practical Comparison

Running one AI coding agent is easy. Running three in parallel on the same codebase is where things get interesting — and where you need to make a tooling choice. There's no "best" orchestrator. Th...

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Choosing an AI Agent Orchestrator in 2026: A Practical Comparison

Source: DEV Community

Running one AI coding agent is easy. Running three in parallel on the same codebase is where things get interesting — and where you need to make a tooling choice. There's no "best" orchestrator. There's the right one for your workflow. Here's an honest comparison of five approaches, with the tradeoffs I've seen after months of running multi-agent setups. The Options 1. Raw tmux Scripts What it is: Shell scripts that launch agents in tmux panes. DIY orchestration. Pros: Zero dependencies beyond tmux Full control over every detail No abstractions to fight You already know how it works Cons: No state management — you track everything manually No message routing between agents No test gating — agents declare "done" without verification Breaks when agents crash or hit context limits You become the orchestrator Best for: One-off tasks where you need 2-3 agents for an afternoon. If your coordination needs fit in a 50-line script, use the script. Not for: Repeatable workflows, overnight sessio

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