👑 Hive Mind

The Hive Mind system implements queen-led hierarchical coordination where strategic queen agents direct specialized workers through collective decision-making and shared memory.

Queen Types:

Queen Type	Best For	Strategy
Strategic	Research, planning, analysis	High-level objective coordination
Tactical	Implementation, execution	Direct task management
Adaptive	Optimization, dynamic tasks	Real-time strategy adjustment

Worker Specializations (8 types): researcher, coder, analyst, tester, architect, reviewer, optimizer, documenter

Consensus Mechanisms:

Algorithm	Voting	Fault Tolerance	Best For
Majority	Simple democratic	None	Quick decisions
Weighted	Queen 3x weight	None	Strategic guidance
Byzantine	2/3 supermajority	f < n/3 faulty	Critical decisions

Collective Memory Types:

• knowledge (permanent), context (1h TTL), task (30min TTL), result (permanent)
• error (24h TTL), metric (1h TTL), consensus (permanent), system (permanent)

CLI Commands:

bash
npx ruflo hive-mind init                    # Initialize hive mind
npx ruflo hive-mind spawn "Build API"       # Spawn with objective
npx ruflo hive-mind spawn "..." --queen-type strategic --consensus byzantine
npx ruflo hive-mind status                  # Check status
npx ruflo hive-mind metrics                 # Performance metrics
npx ruflo hive-mind memory                  # Collective memory stats
npx ruflo hive-mind sessions                # List active sessions

Performance: Fast batch spawning with parallel agent coordination