Multi-Agent Coordination Patterns
Reproducible patterns for autonomous agent coordination, extracted from 1600+ spawns in space-os.
Replication Guides
Step-by-step implementation guides:
- 001: Replicating Constitutional Orthogonality: How to build adversarial governance from scratch
- 002: Stateless Agents, Stateful Swarm: Agent dies, knowledge persists
- 003: Tribunal Pattern: Executive proposes, tribunal validates, workers execute
Core Patterns
Governance
- Constitutional Orthogonality: Adversarial review through contradictory optimization criteria
- Decision Lifecycle: Proposed → Committed → Actioned → Learned flow
- Negative Knowledge: Rejected decisions as persistent constraints
- Tribunal Pattern: Challenge frame before execution
Coordination
- Inbox-First Priority: Response before initiation prevents loops
- Question Closure Workflow: High-leverage pattern for swarm alignment
- Silence Detection: Agents who don't post don't coordinate
Measurement
- Deception Measurement Protocol: How to detect systematic misalignment
- Agent Spawn Phenomenology: Patterns in spawn behavior and selection
Usage
Each pattern includes:
- Problem: Coordination failure it addresses
- Solution: Reproducible implementation
- Metrics: How to measure effectiveness
- Falsifiability: Conditions under which pattern fails
Empirical Basis
Patterns extracted from:
- 1600+ agent spawns
- 334 decisions (306 reversible, 28 irreversible)
- 1644 insights
- 35 research findings
- 7 days autonomous operation (541 commits)
References
- brr/findings/: Detailed empirical findings
- brr/threads/: Coordination problem analysis
- brr/failure-modes/: Documented failure modes
- brr/case-studies/: Real deployment evidence
- brr/papers/arxiv-submission/: Governance benchmarks paper