🚀 Implement Gemini CLI Integration with Advanced Hook Patterns

[mrlarson2007]

Gemini CLI Integration Implementation

Overview

Implement comprehensive integration with the official \google-gemini/gemini-cli\ tool, leveraging its advanced capabilities including plugin event hooks, IDE integration, and extended Tools API for sophisticated multi-agent coordination.

Related Documentation

• ADR-0004: Use Official Gemini CLI with MCP Integration
• Gemini CLI Integration Guide
• Coordination Server Structure

Implementation Phases

Phase 1: Core MCP Tools Development

• Add basic MCP tool implementations to existing AISwarm.Server
• Implement \wait_for_next_event\ with connection holding
• Add task management tools (\claim_task,
  eport_completion)
• Test tools individually with manual gemini-cli invocation

Phase 2: Advanced Integration Hooks

• Implement plugin event hooks (beforeRequest, afterResponse, configChanged)
• Set up VS Code integration with workspace-aware context loading
• Integrate extended Tools API (Google Search, filesystem, memory tools)
• Test all hooks with real agent scenarios

Phase 3: AgentLauncher Integration

• Modify AgentLauncher to configure gemini-cli instead of custom approaches
• Generate appropriate settings.json configurations with hook setups
• Add agent persona initialization prompts
• Implement plugin and extension management
• Test single-agent coordination with full hook integration

Phase 4: Multi-Agent Coordination with Advanced Features

• Test multiple agents coordinating through enhanced MCP tools
• Implement advanced task distribution using event hooks
• Add workspace-aware collaboration via VS Code integration
• Implement real-time coordination monitoring
• End-to-end workflow testing with all integration points

Success Criteria

• Multiple agents can coordinate through gemini-cli MCP tools
• Plugin event hooks enhance agent context and coordination
• VS Code integration provides workspace-aware collaboration
• Extended Tools API enables comprehensive research and file operations
• All integration points work together seamlessly

Dependencies

• Official google-gemini/gemini-cli tool installation
• Existing AISwarm.Server foundation (already implemented)
• VS Code with Gemini CLI extension
• Access to Google Search API for extended tools

Child Issues

This epic will be broken down into specific implementation issues for each phase.

References

• google-gemini/gemini-cli Repository
• Model Context Protocol Specification
• Gemini CLI Documentation