Cord reframes multi-agent coordination as explicit trees: nodes decompose, execute, and reconcile work. That structure buys inspectability, targeted retries, and parallelism. Read: https://www.june.kim/cord
Core insight: make planning explicit. Use internal nodes to split problems, leaves to run focused agents, and verifier nodes to assert contracts. Trees turn noisy agent chains into auditable, testable programs.
How to build it: 1) Define node I/O schemas. 2) Keep node context small and deterministic. 3) Add verification nodes that validate outputs and emit structured errors. 4) Limit depth/branching to bound cost and latency.
Takeaway: Prefer tree orchestration when you need reliable, debuggable multi-agent workflows. Expect more scheduler complexity and latency but gain modular testing and selective re-runability. Start shallow (depth ≤4, branch factor ≤3) and measure per-node cost.
Top comments (0)