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v3.32.13 Feature

This release adds 1 notable feature for engineering teams evaluating rollout.

✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

agentic-ai agentic-framework agentic-workflow agents ai-agents ai-assistant
+14 more
ai-coding ai-skills autonomous-agents claude-code codex harness mcp-server multi-agent multi-agent-systems npm skills swarm swarm-intelligence typescript

Summary

AI summary

Added Mixture-of-Agents fanout routing with configurable parallelism and consensus mode.

Full changelog

Closes the last item of the 2026-07-26 dream-cycle 3-task bundle.

Added

hooks route --mode moa — Mixture-of-Agents fanout plan. Dream-cycle #2778 (arXiv 2605.01566, ACL 2026 SRW): test-time scaling is Pareto-optimal when parallel generations exceed sequential aggregations — +2.7pp accuracy over self-consistency at equal cost.

New flags:

  • --mode single|moa (default: single) — opts into MoA planning.
  • --moa-parallel N (default: 3) — fanout width. Distinct name to avoid a boolean-flag collision with --parallel in swarm/workflow.
  • --consensus majority-vote|best-confidence (default: majority-vote).

When --mode=moa, the router adds a moaPlan field to the result telling the caller to spawn N parallel Haiku Task calls with the primary agent's role, then a synthesizer Task that reads all N verdicts and picks the majority (or highest-confidence) answer. The rationale field explains whether the swap saves cost (only unambiguously below Tier-3 Sonnet).

E2E verified: hooks route --mode moa --moa-parallel 7 → 7 Haiku agent slots + 1 synthesizer, JSON output splices moaPlan cleanly, single mode omits the plan.

Upgrade

npx ruflo@latest --version   # → 3.32.13

Refs: dream-cycle #2778.

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Deploy multi-agent swarms with coordinated workflows.

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Beta — feedback welcome: [email protected]