Antigravity-Jules Orchestration

Version: 2.6.2 | CHANGELOG

Overview

Autonomous AI orchestration architecture combining Google Antigravity with the Jules API for hands-free development workflows. This system leverages the Model Context Protocol (MCP) for seamless agent coordination.

Architecture Components

1. Google Antigravity Integration

• Browser Subagent: Specialized model for browser automation with DOM capture, screenshots, and video recording
• Agent Modes: Planning mode for complex tasks with task groups and artifacts; Fast mode for simple operations
• Workspace Management: Multi-workspace support with parallel conversation execution
• Task Lists & Implementation Plans: Structured approach to complex tasks with approval workflows
• MCP Store Integration: Built-in support for connecting to external services and databases

2. Jules API Connection

• Autonomous Coding Sessions: Create and manage Jules coding sessions directly from AI assistants
• GitHub Integration: Connect to repositories through Jules sources
• Plan Approval Workflow: Review and approve execution plans before changes
• Real-time Activity Tracking: Monitor session progress with detailed activity logs
• MCP Bridge: Jules MCP server acts as bridge between AI assistants and Jules API

3. MCP Integration Layer

• Custom MCP Server: Node.js-based server using Streamable HTTP transport
• Type-safe Validation: Joi schemas for runtime validation of all inputs
• Stateless Architecture: Optimized for compatibility with multiple MCP clients
• 65 MCP Tools Available including:
  • Jules Core API (7 tools)
  • Session Management (5 tools)
  • Session Templates (4 tools)
  • Session Cloning & Search (2 tools)
  • PR Integration (3 tools)
  • Session Queue (4 tools)
  • Batch Processing (7 tools)
  • Analytics (1 tool)
  • Monitoring & Cache (4 tools)
  • Ollama Local LLM (4 tools)
  • RAG (4 tools)
  • Semantic Memory (8 tools)
  • Render Integration (12 tools)
  • Suggested Tasks (3 tools)

v2.6.x Features

Render Auto-Fix Integration (v2.6.0)

• Automatically detect and fix build failures on Jules PRs
• Webhook receiver for Render deployment events
• Build log analysis with intelligent error pattern recognition
• Secure credential storage with AES-256-GCM encryption

Suggested Tasks Scanner (v2.6.0)

• Scan codebases for TODO/FIXME/HACK comments
• Priority-based task ranking
• Create Jules sessions to fix suggested tasks

Semantic Memory Integration (v2.6.1)

• 8 MCP tools for persistent AI memory
• SSRF protection with domain whitelist
• Error message sanitization

GitHub Issue Integration

• jules_create_from_issue: Creates a Jules session from a GitHub issue
• jules_batch_from_labels: Creates Jules sessions from all issues with a given label

Batch Processing

• jules_batch_create: Creates a batch of Jules sessions from a list of tasks
• jules_batch_status: Checks the status of a batch of Jules sessions
• jules_batch_approve_all: Approves all sessions in a batch
• jules_batch_retry_failed: Retry all failed sessions in a batch

Session Templates (v2.5.0)

• Save and reuse session configurations
• Create sessions from templates with overrides

Priority Queue (v2.5.0)

• Queue sessions with priority-based processing
• Automatic failure handling

PR Integration (v2.5.0)

• Merge PRs directly from Jules sessions
• Add comments to PRs

Session Monitoring

• jules_monitor_all: Monitors all active Jules sessions
• jules_session_timeline: Gets a timeline of events for a Jules session

Workflow Architecture

MCP Tool Chain Orchestration

Status: Production Ready | Tools: 65 MCP tools | Chains: 5 executable workflows

• 65 MCP Tools Cataloged: Jules, Ollama, RAG, Semantic Memory, Render integration
• 5 Tool Chains Designed: Complete workflows from diagnostics to deployment
• Automated Execution: PowerShell scripts for repeatable chain testing
• Production-Ready Artifacts: Generated Terraform, Docker, K8s, Prometheus configs

Documentation:

• MCP Tool Chain Architecture - Complete guide
• Orchestration Report - Execution results
• Quick Reference - Commands and patterns

Autonomous Development Loop

1. Task Initiation: User provides high-level task in Antigravity
2. Planning Phase: Antigravity agent creates implementation plan with task groups
3. Jules Session Creation: MCP server creates Jules coding session with appropriate source
4. Parallel Execution: Antigravity manages browser automation; Jules handles code generation
5. Progress Monitoring: Real-time activity tracking across both systems
6. Approval Gates: Implementation plans reviewed before execution
7. Completion: Changes merged, tests executed, documentation updated

Installation

Prerequisites

• Node.js v18+
• Google Antigravity installed
• Jules API account with API key
• GitHub account with connected repositories

Setup Steps

1. Clone Repository: git clone https://github.com/Scarmonit/antigravity-jules-orchestration.git
2. Install Dependencies: npm install
3. Configure Environment: cp .env.example .env (add JULES_API_KEY)
4. Start MCP Server: npm run dev

Configuration

Performance Features

• LRU Cache: 100 item capacity with 10s default TTL
• Circuit Breaker: Trips after 5 consecutive failures, 60s reset
• Retry Logic: 3 retries with exponential backoff and jitter

Deployment

• Platform: Render
• Branch: main
• Health Check: /health
• Live URL: https://scarmonit.com

Development

• Start server: npm run dev
• Run tests: npm test
• MCP diagnostics: npm run mcp:diagnostics

License

MIT License

Contact

• Email: [email protected]
• GitHub: @Scarmonit