Small task? Stay solo.
A copy tweak or a quick answer needs no extra agent. Coordination has a cost, too.
OPEN-SOURCE AGENT DISPATCH
You bring the idea.
Your AI finds the right hands.
A lightweight skill for Codex. Work directly when it is simple, call Luna when it helps, and let the main AI check the result.
01 / UNDERSTAND03 / CHECKClear rules. A lightweight agent handles the repeatable work.
01 / DELIBERATE BY DEFAULT
Delegation starts with a decision.
Understand the goal. Then choose who does it.
A copy tweak or a quick answer needs no extra agent. Coordination has a cost, too.
Luna Low for clear, repeatable work. Medium for connected tasks. Go deeper only when needed, or let the main AI take over.
Usually up to two agents at once; three only when useful. Bound their scope. The main AI checks, integrates, and delivers.
02 / SHOW THE MATH
More agents can mean more tokens.
A lighter model is not a lower token count.
Tern has no published benchmarks yet. Explore a hypothetical scenario, then compare the same task with and without it. These percentages are calculations, not promises.
Read the benchmark method ↗Same task, same acceptance criteria
Includes dispatch, context, review, and retries
Includes every agent, context, and retry
Formula: 1 − (main AI + all subagents) ÷ baseline. Count total input and output tokens; do not count cached input or reasoning tokens twice.
Token usage, API cost, and subscription limits are different measures.Understand agent overhead ↗
03 / READY FOR TAKEOFF
Open source. Easy to read. Yours to adapt.
One small skill for the way you work.

Run these two lines in your terminal.
# add the marketplace, then install Tern
codex plugin marketplace add https://github.com/iaredr/tern-dispatch
codex plugin add tern-dispatch@tern-dispatchStart a new Codex task, select the skill, and ask.
$tern-dispatchHelp me bring this idea to life.Stays on for this conversation. Say “disable Tern” to stop. For project-wide activation, see the GitHub docs ↗.