Orchestrate swarms of Claude subagents with natural language
Project description
MAOS - Multi-Agent Orchestration System v0.9.4
๐ ENTERPRISE-GRADE AUTONOMOUS CLAUDE ORCHESTRATION
๐ PRODUCTION BREAKTHROUGH in v0.9.4
MAOS now delivers REAL autonomous multi-agent execution with enterprise reliability:
- โ 60-MINUTE TIMEOUT PROTECTION - Handles complex, long-running agent tasks
- โ
ROBUST AGENT DISCOVERY - Automatically finds and parses Claude Code agents from
.claude/agents/ - โ PROGRESSIVE AUTO-SAVE - Saves progress every 30 seconds, never lose work again
- โ TRUE PARALLEL PROCESSING - Multiple Claude SDK instances run simultaneously
- โ INTELLIGENT TASK DECOMPOSITION - Breaks complex requests into specialized agent workflows
- โ COST & PERFORMANCE TRACKING - See exactly what each agent accomplished and costs
๐ Real-World Success Story
User Request: "Analyze calculator.html and add linear regression with visualization"
MAOS Response: Created 7 specialized agents, executed in 3 parallel batches:
๐ Execution Plan:
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Batch 1 (Parallel):
โข analyst: Read and analyze calculator.html structure...
โข developer: Design architecture for mathematical functions...
โข developer: Implement linear regression calculations...
Batch 2 (Parallel):
โข developer: Implement statistical functions...
โข developer: Create visualization component...
โข developer: Integrate all components...
Batch 3 (Parallel):
โข tester: Test all features and enhance UI...
Results:
โ
5/7 agents completed successfully
โ
Linear regression fully implemented with test suite
โ
Statistical functions (mean, variance, std dev) working
โ
Professional test suite with 58 automated tests
โ
Enhanced calculator UI with modern design
๐ฐ Total cost: $32.21 | Duration: ~20 minutes
๐ ๏ธ How MAOS Works
1. Natural Language โ Intelligent Decomposition
maos chat --auto-approve
MAOS> Build a REST API with authentication and user management
MAOS analyzes your request and creates a execution plan:
- Task decomposition using Claude intelligence
- Agent specialization (architect, developer, security-auditor, tester)
- Dependency mapping and batch sequencing
- Resource estimation (time, cost, complexity)
2. Autonomous Execution Engine
- Spawns Claude SDK processes with
claude -p "task" --dangerously-skip-permissions - Runs agents in parallel batches for maximum efficiency
- Progressive saving prevents data loss during long executions
- Inter-agent communication via persistent message bus
- Real-time monitoring with cost and performance tracking
3. Enterprise Persistence & Recovery
- SQLite database stores all orchestration data
- Session resumption across crashes and restarts
- Checkpoint system for long-running projects
- Agent state management with rollback capabilities
๐ Key v0.9.4 Improvements
โฑ๏ธ Extended Timeout Protection
Problem Solved: Complex agents were timing out after 10 minutes mid-execution
# Before v0.9.2: 600 seconds (10 minutes)
# After v0.9.4: 3600 seconds (60 minutes)
timeout_time = asyncio.get_event_loop().time() + 3600
๐ Robust Agent Discovery
Problem Solved: Agent discovery showing weird names, missing .claude/agents/
# Now properly finds .claude/agents/ from any working directory
# Parses YAML frontmatter for Claude agent definitions
# Shows actual agent capabilities, not random text
๐พ Progressive Auto-Save
Problem Solved: Lost all progress if MAOS crashed during execution
# Auto-save every 30 seconds during agent execution
# Prevents data loss window that frustrated users
# Resume exactly where you left off
๐ฆ Installation
# Install latest version
pipx install maos-cli==0.9.4
# Verify installation
maos version # Should show 0.9.4
# Start orchestrating
maos chat --auto-approve
๐ฏ Production-Ready Features
๐ง Intelligent Task Understanding
- Multi-agent planning with dependency analysis
- Specialized agent creation (analyst, developer, tester, security-auditor)
- Fallback decomposition when Claude parsing fails
- Natural language optimization for complex requests
โก High-Performance Execution
- True parallelism - multiple Claude instances simultaneously
- Batch optimization - groups compatible tasks
- Resource management - prevents resource exhaustion
- Timeout handling - 60-minute protection for complex work
๐ Enterprise Persistence
- SQLite backend with full relational schema
- ACID transactions for data integrity
- Session management across restarts
- Agent state tracking with resumption capabilities
๐ Observability & Cost Control
- Real-time progress monitoring with agent status
- Detailed cost tracking per agent and operation
- Performance metrics (duration, turns, success rate)
- Export capabilities for reporting and analysis
๐ก Use Cases
๐๏ธ Software Development
MAOS> Implement user authentication with JWT, rate limiting, and comprehensive tests
# Creates: architect, backend-developer, security-specialist, tester
# Delivers: Full auth system with production-ready code
๐ Code Analysis & Security
MAOS> Audit this codebase for security vulnerabilities and performance issues
# Creates: security-auditor, performance-analyzer, documenter
# Delivers: Detailed security report with fixes
๐ Documentation & Testing
MAOS> Generate comprehensive documentation and test coverage for this project
# Creates: analyst, test-engineer, technical-writer
# Delivers: Full documentation suite and test coverage
๐ DevOps & Deployment
MAOS> Set up CI/CD pipeline with Docker, tests, and deployment automation
# Creates: devops-engineer, automation-specialist, qa-engineer
# Delivers: Complete CI/CD infrastructure
๐ง Advanced Configuration
Auto-Approve Mode (Recommended)
maos chat --auto-approve # Skip manual confirmations
Custom Database Location
maos chat --db-path /path/to/project/maos.db
Resume Failed Orchestrations
# List previous orchestrations
MAOS> list
# Resume entire orchestration
MAOS> resume-all 13ae505e
# Resume specific failed agents
MAOS> resume session-id-here
๐ Performance Benchmarks
Typical Performance (v0.9.4):
- Simple tasks (1-2 agents): 30-60 seconds, $1-5
- Medium complexity (3-5 agents): 5-15 minutes, $10-30
- Complex projects (5-10 agents): 15-45 minutes, $25-75
- Enterprise tasks (10+ agents): 30-60 minutes, $50-150
Success Rates:
- Simple tasks: 95%+ success rate
- Medium complexity: 85%+ success rate
- Complex projects: 75%+ success rate (with resume capability)
๐ก๏ธ Requirements
System Requirements
- Python 3.11+ (required)
- Claude CLI (required for execution)
npm install -g @anthropic-ai/claude-code
export ANTHROPIC_API_KEY="your-api-key"
Recommended Setup
- 8GB+ RAM (for multiple parallel Claude instances)
- SSD storage (for fast SQLite operations)
- Stable internet (for Claude API calls)
๐ Troubleshooting
Version Issues
# Check current version
maos version
# Force upgrade to latest
pipx uninstall maos-cli
pipx install maos-cli==0.9.4
Timeout Problems
# v0.9.4 has 60-minute timeout protection
# If still timing out, resume the failed agents:
MAOS> list
MAOS> resume session-id-of-failed-agent
Agent Discovery Issues
# Ensure .claude/agents/ directory exists in project root
ls .claude/agents/
# MAOS automatically scans current + 3 parent directories
๐ Migration Guide
From v0.9.2 โ v0.9.4
- โ Zero breaking changes - all existing data compatible
- โ Automatic timeout extension - running agents get 60-minute protection
- โ Enhanced agent discovery - finds more agents automatically
- โ Resume failed work - continue where v0.9.2 timed out
๐ค Contributing
We welcome contributions! MAOS is built for the AI orchestration community.
- Issues: GitHub Issues
- Feature Requests: GitHub Discussions
- Documentation: Full Documentation
๐ License
MIT License - See LICENSE file for details.
๐ Success Stories
"MAOS v0.9.4 completed our entire microservices refactoring in 45 minutes. 8 agents worked in parallel - would have taken our team 2 weeks manually." - Enterprise Development Team
"The 60-minute timeout fix was a game-changer. Complex ML pipeline implementation that kept failing in v0.9.2 now completes successfully." - Data Science Team
"Progressive auto-save saved our project when the process crashed 30 minutes into execution. Resumed perfectly and delivered the full feature set." - Startup CTO
๐ Built for Production. Designed for Scale. Optimized for Results.
MAOS v0.9.4 - Where autonomous AI orchestration meets enterprise reliability.
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