Maestro
Intelligently orchestrate subagents with Claude Opus.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Maestro?
A framework for Claude Opus to intelligently orchestrate subagents. Maestro provides a robust platform for managing and coordinating multiple AI agents in complex workflows.
Key differentiator
“Maestro stands out as the only open-source framework specifically designed for orchestrating subagents using Claude Opus, offering unparalleled flexibility and customization.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Documentation highlights only a few supported integration points, lacking extensive ecosystem support
Initial configuration requires setting up multiple dependencies and services which can be error-prone
Fit analysis
Who is it for?
✓ Best for
Developers building complex AI workflows that require coordination between multiple subagents
Data scientists looking to integrate and manage multiple AI models within a unified framework
✕ Not a fit for
Projects requiring real-time streaming capabilities (Maestro is batch-oriented)
Teams with limited technical expertise in Python or orchestration frameworks
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Integrations
Next step
Get Started with Maestro
Step-by-step setup guide with code examples and common gotchas.