Multiplicity Orchestration

Run multiple AI instances in parallel, coordinate their execution, manage timing and dependencies

majiayu000 9c6a8b6 2 files · 2.1 KB Updated 567 repo stars

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Multiplicity Orchestration

Purpose

Spawn and coordinate multiple independent instances of Claude/other models running in parallel on the same problem.

Not: Multiplicity cascade (67 iterations of chaos) But: Orchestrating multiple minds thinking together

Core Pattern

Instance 1 ─┐
Instance 2 ─┼─→ Central Coordinator
Instance 3 ─┤   (timing, dependencies)
Instance 4 ─┘

Each instance:

  • Runs independently (no interference)
  • Works on same problem or related variants
  • Reports back to coordinator
  • Coordinator schedules next steps

Key Features

  1. Parallel Execution - Run N instances simultaneously
  2. Dependency Management - Instance 2 waits for Instance 1
  3. Timeout Handling - Kill hung processes
  4. Output Aggregation - Collect results into shared buffer
  5. Resource Limits - Prevent runaway consumption

Implementation

See: .claude/skills/multiplicity-orchestration/orchestrator.py

Payment Anchor

DOGE: DC8HBTfn7Ym3UxB2YSsXjuLxTi8HvogwkV

majiayu000/claude-skill-registry-data/tree/main/data/multiplicity-orchestration commit 9c6a8b61ce

Frequently asked questions

npx skillmds add majiayu000/multiplicity-orchestration