crewAI
Productivity bots software
Agentic AI software
AI agent builders software
AI orchestration software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$25 per month
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What is crewAI
crewAI is an agent framework used to build and orchestrate multi-agent workflows that collaborate on tasks using large language models and external tools. It targets developers and technical teams that need to define roles, tasks, and tool access for agents and run them as repeatable processes. The product emphasizes code-first configuration and supports coordinating multiple agents rather than providing an end-user productivity interface.
Multi-agent workflow orchestration
crewAI is designed around coordinating multiple agents with defined roles and responsibilities to complete a broader objective. This structure supports decomposing work into tasks and sequencing or delegating them across agents. For teams evaluating agentic systems, this provides a clearer orchestration model than single-assistant chat experiences.
Developer-oriented, code-first setup
The framework is implemented for programmatic use, which fits engineering teams that want agent behavior under version control and CI/CD. Code-first definitions make it easier to review changes, test workflows, and reuse components across projects. This approach can be preferable to UI-only builders when workflows need to be embedded into applications.
Tool and model extensibility
crewAI supports connecting agents to external tools and services, enabling retrieval, API calls, and other actions beyond text generation. This extensibility helps teams integrate agents into existing systems and data sources. It also allows swapping or configuring underlying model providers depending on deployment requirements.
Limited end-user productivity UI
crewAI primarily serves as a framework rather than a packaged workplace assistant for non-technical users. Organizations looking for out-of-the-box meeting, scheduling, or chat-based productivity features typically need additional applications and integrations. This can increase implementation effort for business teams.
Engineering effort to productionize
Running reliable agent workflows usually requires additional work around evaluation, monitoring, prompt/version management, and error handling. Teams may need to build guardrails for tool use, data access, and cost controls. Compared with more turnkey automation products, time-to-value can be longer.
Output reliability and governance
As with most LLM-driven agent systems, results can vary based on prompts, model choice, and tool availability. Organizations with strict compliance requirements may need extra controls for logging, auditability, and data handling. Without these controls, it can be difficult to standardize outcomes across runs and users.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Basic | Free | Visual editor & AI copilot; Integrated tools & triggers; 50 workflow executions/month included; 1 seat. |
| Professional | $25/month | Everything in Basic; 1 additional seat (2 seats total); 100 workflow executions/month included; Support via community forum; Additional executions listed as $0.50/execution on the pricing page. |
| Enterprise | Custom | SaaS or self-hosted (K8s, VPC); SOC2 with SSO, secret manager integration and PII detection & masking; Dedicated support and uptime SLAs; Up to 30,000 included executions (page lists "Up to 30,000"); Unlimited seats; Contact sales for pricing and additional-execution terms. |
Seller details
crewAI Inc.
San Francisco, California, United States
2023
Private
https://www.crewai.com/
https://x.com/crewAIInc
https://www.linkedin.com/company/crewai-inc
