Maestro
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Command center for orchestrating and managing AI agent operations
Key Features
Multi-Agent Single Agent Human-in-the-Loop Streaming Async Support Short-Term Memory Plugin System Custom Tools MCP Protocol CLI API Server Self-Hosted
Community Feedback
Strengths
- Clean orchestration interface
- Active development
Weaknesses
- AGPL license limits commercial SaaS use
- Early stage
Maestro Details
| Organization | RunMaestro |
| Organization Type | Company |
| Funding | Seed |
| Category | AI Harness |
| Subcategory | Orchestration |
| Deployment | Self-Hosted |
| Primary Language | TypeScript |
| Runtime | Node.js 18+ |
| License | AGPL-3.0 |
| Commercial Use | Copyleft |
| Install Command | npm install @runmaestro/maestro |
| GitHub Stars | 2,588 |
| GitHub Forks | 259 |
| Open Issues | 118 |
| Contributors | 30 |
| Last Commit | 2026-03-25 |
| First Release | 2025-11-27 |
| Maturity | Beta |
| Pricing Model | Free |
| Free Tier | Open source under AGPL-3.0 |
| Self-Hosted Free | Yes |
| Cost Model | free + LLM costs |
| Community Size | Medium |
| Community Activity | Active |
| Sentiment | Positive |
| GPU Required | No |
| Research Date | 2026-03-27 |
| LLM Providers | OpenAI, Anthropic, Google |
| API Keys Required | LLM provider API key |
Use Cases
- Agent fleet management
- Workflow orchestration
- Agent monitoring
- Task delegation
When to Use
Best for: Teams wanting an agent orchestration command center
Avoid when: Building a proprietary SaaS product due to AGPL
Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a