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The leading open-source Python framework for orchestrating role-based multi-agent crews.
Pros
- Powerful, flexible multi-agent orchestration for developers
- Open-source core is free to use and self-host
- Strong adoption and community for production agent systems
Cons
- Requires Python/engineering skills (not no-code)
- LLM API costs often exceed platform fees by 2-3x
- Professional tier has only community support; big jump to Enterprise pricing
✓ Where it shines / best for
- Engineering teams building production multi-agent pipelines
- Developers needing fine-grained agent role/task control
- Research and complex autonomous-workflow prototyping
✕ Not the best fit for
- Non-technical users (no no-code builder)
- Simple single-agent or app-integration tasks
- Teams wanting transparent low-cost flat pricing
Features
- ✓ Open-source Python multi-agent framework (role/task/crew model)
- ✓ Sequential and hierarchical agent orchestration
- ✓ Tools, memory, and custom integrations
- ✓ AMP managed cloud platform with visual editor, AI copilot, and monitoring
- ✓ Execution-based billing on the managed platform
- ✓ Works with any LLM provider
- ✓ Large developer community
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Open Source Framework | $0 | month | Free, self-hosted Python framework (pay only LLM API costs) |
| Basic / Free (AMP) | $0 | month | 50 workflow executions/month, 1 seat; visual editor, AI copilot, GitHub integration |
| Professional | $25 | month | 100 executions/month, 2 seats; overages $0.50/execution; community support only, no SOC2/HIPAA |
| Enterprise | Custom | year | Up to ~500k executions/month, unlimited seats, SOC2/HIPAA, dedicated support, Forward Deployed Engineers; estimated ~$60k-$120k+/year |
Pricing verified from the official source. Prices change often — confirm on the vendor's site before buying.
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