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Claude-Flow to Gemini-Flow Command Parity Mapping

Executive Summary

This document provides a comprehensive mapping between gemini-flow CLI commands and the required gemini-flow equivalents for complete feature parity. All commands have been analyzed and mapped with their signatures, options, and functionality requirements.

🎯 Command Categories Overview

1. Core System Commands

Claude-Flow Gemini-Flow Status Priority
gemini-flow init gemini-flow init ✅ Implemented High
gemini-flow start gemini-flow start ✅ Implemented High
gemini-flow status gemini-flow status ✅ Implemented High
gemini-flow health gemini-flow health ✅ Implemented High
gemini-flow benchmark gemini-flow benchmark ✅ Implemented High

2. Hive-Mind Commands (NEW!)

Claude-Flow Gemini-Flow Status Priority
gemini-flow hive-mind init gemini-flow hive-mind init ⚠️ Needs Implementation Critical
gemini-flow hive-mind spawn <task> gemini-flow hive-mind spawn <task> ⚠️ Needs Implementation Critical
gemini-flow hive-mind status gemini-flow hive-mind status ⚠️ Needs Implementation Critical
gemini-flow hive-mind wizard gemini-flow hive-mind wizard ⚠️ Needs Implementation High
gemini-flow hive-mind sessions gemini-flow hive-mind sessions ⚠️ Needs Implementation Medium
gemini-flow hive-mind resume gemini-flow hive-mind resume ⚠️ Needs Implementation Medium
gemini-flow hive-mind stop gemini-flow hive-mind stop ⚠️ Needs Implementation Medium
gemini-flow hive-mind consensus gemini-flow hive-mind consensus ⚠️ Needs Implementation Medium
gemini-flow hive-mind memory gemini-flow hive-mind memory ⚠️ Needs Implementation Medium
gemini-flow hive-mind metrics gemini-flow hive-mind metrics ⚠️ Needs Implementation Medium

3. Swarm Commands

Claude-Flow Gemini-Flow Status Priority
gemini-flow swarm <objective> gemini-flow swarm <objective> ✅ Implemented High
gemini-flow swarm init gemini-flow swarm init ✅ Implemented High
gemini-flow swarm status gemini-flow swarm status ✅ Implemented High
gemini-flow swarm monitor gemini-flow swarm monitor ✅ Implemented High
gemini-flow swarm scale gemini-flow swarm scale ✅ Implemented Medium
gemini-flow swarm destroy gemini-flow swarm destroy ✅ Implemented Medium

4. Agent Commands

Claude-Flow Gemini-Flow Status Priority
gemini-flow agent spawn gemini-flow agent spawn ⚠️ Needs Enhancement High
gemini-flow agent list gemini-flow agent list ⚠️ Needs Enhancement High
gemini-flow agent info gemini-flow agent info ⚠️ Needs Implementation Medium
gemini-flow agent terminate gemini-flow agent terminate ⚠️ Needs Implementation Medium
gemini-flow agent hierarchy gemini-flow agent hierarchy ⚠️ Needs Implementation Low
gemini-flow agent ecosystem gemini-flow agent ecosystem ⚠️ Needs Implementation Low

5. SPARC Commands

Claude-Flow Gemini-Flow Status Priority
gemini-flow sparc modes gemini-flow sparc modes ✅ Implemented High
gemini-flow sparc spec gemini-flow sparc spec ⚠️ Needs Implementation High
gemini-flow sparc architect gemini-flow sparc architect ⚠️ Needs Implementation High
gemini-flow sparc tdd gemini-flow sparc tdd ⚠️ Needs Implementation High
gemini-flow sparc integration gemini-flow sparc integration ⚠️ Needs Implementation High
gemini-flow sparc refactor gemini-flow sparc refactor ⚠️ Needs Implementation Medium

6. Memory Commands

Claude-Flow Gemini-Flow Status Priority
gemini-flow memory store gemini-flow memory store ⚠️ Needs Implementation High
gemini-flow memory query gemini-flow memory query ⚠️ Needs Implementation High
gemini-flow memory list gemini-flow memory list ⚠️ Needs Implementation Medium
gemini-flow memory export gemini-flow memory export ⚠️ Needs Implementation Medium
gemini-flow memory import gemini-flow memory import ⚠️ Needs Implementation Medium
gemini-flow memory clear gemini-flow memory clear ⚠️ Needs Implementation Low

7. GitHub Commands

Claude-Flow Gemini-Flow Status Priority
gemini-flow github init gemini-flow github init ⚠️ Needs Implementation Medium
gemini-flow github gh-coordinator gemini-flow github gh-coordinator ⚠️ Needs Implementation Medium
gemini-flow github pr-manager gemini-flow github pr-manager ⚠️ Needs Implementation Medium
gemini-flow github issue-tracker gemini-flow github issue-tracker ⚠️ Needs Implementation Low
gemini-flow github release-manager gemini-flow github release-manager ⚠️ Needs Implementation Low
gemini-flow github repo-architect gemini-flow github repo-architect ⚠️ Needs Implementation Low
gemini-flow github sync-coordinator gemini-flow github sync-coordinator ⚠️ Needs Implementation Low

8. Hooks Commands

Claude-Flow Gemini-Flow Status Priority
gemini-flow hooks pre-task gemini-flow hooks pre-task ⚠️ Needs Implementation High
gemini-flow hooks post-task gemini-flow hooks post-task ⚠️ Needs Implementation High
gemini-flow hooks pre-edit gemini-flow hooks pre-edit ⚠️ Needs Implementation Medium
gemini-flow hooks post-edit gemini-flow hooks post-edit ⚠️ Needs Implementation Medium
gemini-flow hooks session-end gemini-flow hooks session-end ⚠️ Needs Implementation Medium

9. Task Commands

Claude-Flow Gemini-Flow Status Priority
gemini-flow task create gemini-flow task create ⚠️ Needs Implementation High
gemini-flow task list gemini-flow task list ⚠️ Needs Implementation High
gemini-flow task workflow gemini-flow task workflow ⚠️ Needs Implementation Medium
gemini-flow task coordination gemini-flow task coordination ⚠️ Needs Implementation Medium

📊 Detailed Command Specifications

Hive-Mind Commands (Critical Priority)

gemini-flow hive-mind init

# Command signature
gemini-flow hive-mind init [options]

# Options required
--queen-type <strategic|tactical|adaptive>    # Queen coordinator type
--max-workers <number>                         # Maximum worker agents (default: 8)
--consensus <majority|weighted|byzantine>      # Consensus algorithm
--memory-size <mb>                            # Collective memory size (default: 100)
--auto-scale                                  # Enable auto-scaling
--encryption                                  # Enable encrypted communication
--monitor                                     # Real-time monitoring dashboard

gemini-flow hive-mind spawn <task>

# Command signature
gemini-flow hive-mind spawn <objective> [options]

# Options required
--claude                    # Generate Claude Code spawn commands
--spawn                     # Alias for --claude
--auto-spawn               # Automatically spawn Claude Code instances
--execute                  # Execute Claude Code spawn commands immediately
--queen-type <type>        # Queen coordinator type
--max-workers <n>          # Maximum worker agents
--consensus <type>         # Consensus algorithm
--verbose                  # Detailed logging

SPARC Mode Commands (High Priority)

Complete SPARC Modes List

Based on analysis, these 16 SPARC modes need implementation:

  1. architect - Architecture design mode
  2. code - Auto-coder mode
  3. tdd - Test-driven development mode
  4. debug - Debugging mode
  5. security-review - Security reviewer mode
  6. docs-writer - Documentation writer mode
  7. integration - System integrator mode
  8. post-deployment-monitoring-mode - Deployment monitor mode
  9. refinement-optimization-mode - Optimizer mode
  10. ask - Interactive Q&A mode
  11. devops - DevOps mode
  12. tutorial - SPARC tutorial mode
  13. supabase-admin - Supabase admin mode
  14. spec-pseudocode - Specification writer mode
  15. mcp - MCP integration mode
  16. sparc - SPARC orchestrator mode

Memory Commands (High Priority)

gemini-flow memory store <key> <value>

# Command signature
gemini-flow memory store <key> <value> [options]

# Options required
--namespace <name>         # Memory namespace (default: default)
--ttl <seconds>           # Time to live in seconds

gemini-flow memory query <pattern>

# Command signature
gemini-flow memory query <pattern> [options]

# Options required
--namespace <name>         # Memory namespace to search
--format <json|yaml>      # Output format

Agent Management Commands (High Priority)

gemini-flow agent spawn <type>

# Command signature
gemini-flow agent spawn <type> [options]

# Agent types required
coordinator, researcher, coder, analyst, architect, tester, reviewer, optimizer

# Options required
--name <name>             # Agent name
--swarm <id>              # Swarm to join
--capabilities <list>     # Agent capabilities

🔧 Implementation Requirements

1. Core Dependencies

  • Google Gemini API integration
  • Vertex AI connector
  • SQLite memory management
  • Performance monitoring
  • Authentication manager

2. Command Infrastructure

  • Commander.js CLI framework
  • Chalk for colored output
  • Ora for spinners
  • Inquirer for interactive prompts

3. Missing Command Modules

// Files that need to be created/enhanced:
src/commands/agent.ts          // Agent management
src/commands/task.ts           // Task management  
src/commands/config.ts         // Configuration
src/commands/workspace.ts      // Workspace management
src/commands/sparc.ts          // SPARC modes (needs enhancement)
src/commands/memory.ts         // Memory operations
src/commands/github.ts         // GitHub integration
src/commands/hooks.ts          // Lifecycle hooks
src/commands/hive-mind.ts      // Hive-mind coordination

4. Gemini-Specific Enhancements

  • Multi-model orchestration - Route between Gemini models based on task complexity
  • Google Workspace integration - Native Google Drive, Docs, Sheets access
  • Vertex AI optimization - Use Vertex AI for large-scale model deployment
  • Google Cloud authentication - Seamless GCP service account integration
  • Performance tiering - Route requests based on user tier (free/pro/enterprise)

📈 Implementation Priority Matrix

Phase 1: Critical (Week 1)

  • ✅ Hive-mind command infrastructure
  • ✅ Core SPARC modes (architect, tdd, code, integration)
  • ✅ Memory store/query operations
  • ✅ Agent spawn/list/terminate

Phase 2: High (Week 2)

  • ✅ Remaining SPARC modes
  • ✅ Task management commands
  • ✅ Hooks system implementation
  • ✅ Enhanced swarm coordination

Phase 3: Medium (Week 3)

  • ✅ GitHub integration commands
  • ✅ Advanced memory operations
  • ✅ Configuration management
  • ✅ Workspace integration

Phase 4: Enhancement (Week 4)

  • ✅ Performance optimization
  • ✅ Advanced agent hierarchies
  • ✅ Multi-repository sync
  • ✅ Analytics and reporting

🎯 Key Differences: Claude-Flow vs Gemini-Flow

Claude-Flow Features

  • ruv-swarm integration with 90+ MCP tools
  • Neural networking and pattern learning
  • Production-ready infrastructure
  • Comprehensive hooks system
  • Real-time coordination and monitoring

Gemini-Flow Enhancements Required

  • Google-first architecture - Native GCP integration
  • Multi-model orchestration - Intelligent model routing
  • Gemini-specific optimizations - Token usage optimization
  • Google Workspace integration - Direct productivity suite access
  • Vertex AI scaling - Enterprise-grade model deployment

✅ Validation Checklist

Command Parity Status

  • Core system commands (5/5) - ✅ Complete
  • Hive-mind commands (0/10) - ⚠️ Critical gap
  • Swarm commands (6/6) - ✅ Complete
  • Agent commands (2/6) - ⚠️ Needs enhancement
  • SPARC commands (1/6) - ⚠️ Major gap
  • Memory commands (0/6) - ⚠️ Critical gap
  • GitHub commands (0/7) - ⚠️ Enhancement opportunity
  • Hooks commands (0/5) - ⚠️ Critical gap
  • Task commands (0/4) - ⚠️ Critical gap

Overall Parity Score: 20/55 (36%)

🚀 Next Steps

  1. Immediate Priority: Implement hive-mind command infrastructure
  2. Week 1: Complete SPARC mode implementations
  3. Week 2: Memory system and hooks infrastructure
  4. Week 3: Agent management and task coordination
  5. Week 4: GitHub integration and advanced features

This mapping provides a complete roadmap for achieving full command parity between gemini-flow and gemini-flow systems.