Visual no-code editor within CrewAI's Agent Management Platform (AMP) for building, testing, and deploying multi-agent AI crews with drag-and-drop workflow design and MCP server export.
A visual no-code builder for creating AI agent teams — drag and drop to design, test, and deploy CrewAI multi-agent workflows with MCP export and enterprise integrations.
CrewAI Studio is the visual editor component of CrewAI's Agent Management Platform (AMP), enabling teams to build crews of AI agents without writing Python code. Studio provides a drag-and-drop interface with an AI copilot that assists with workflow design, pre-integrated tool connectors for Gmail, Microsoft Teams, Notion, HubSpot, Salesforce, and Slack, and event-driven triggers for automated execution. Workflows built in Studio can be exported as MCP servers for interoperability with other AI tools, or as embeddable UI components. The platform includes workflow tracing with OpenTelemetry for debugging agent behavior, AI agent training with human-in-the-loop feedback loops, LLM testing capabilities, and configurable guardrails for controlled agent behavior. CrewAI Studio differentiates from general automation tools (Zapier, n8n) by being purpose-built for multi-agent AI orchestration — agents have roles, goals, backstories, and tool access, and they collaborate in hierarchical, sequential, or parallel patterns. Unlike coding CrewAI directly in Python, Studio makes agent design accessible to non-technical team members while still generating clean, exportable CrewAI Python code for self-hosting. The platform offers a free Basic tier with 50 executions/month, a Professional plan at $25/month with 100 included executions and $0.50 per additional execution, and Enterprise with custom pricing for self-hosted VPC/K8s deployments with SOC 2, SSO, and dedicated support.
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Visual no-code platform for building, testing, and deploying CrewAI agent crews with drag-and-drop workflow design.
Drag-and-drop interface for creating agent roles with goals, backstories, and tool assignments, orchestrating multi-agent workflows with an AI copilot that suggests configurations and optimizations.
Use Case:
A product team designs a content creation crew with researcher, writer, and editor agents — the AI copilot suggests optimal task dependencies and tool assignments based on the workflow pattern.
Native connectors for Gmail, Microsoft Teams, Notion, HubSpot, Salesforce, Slack, and other business tools — agents can read, write, and act within these systems without custom API development. Enterprise connectors are available on Enterprise plans.
Use Case:
Building a lead qualification crew where one agent monitors HubSpot for new leads, another researches them via web search, and a third drafts personalized outreach in Gmail.
Export any workflow built in Studio as an MCP (Model Context Protocol) server, making your agent crews available as tools to other AI systems. Also export as embeddable UI components for web applications.
Use Case:
Exporting a research agent crew as an MCP server so it can be called from Claude Desktop, Cursor, or any MCP-compatible AI tool.
Built-in execution tracing using OpenTelemetry standards that shows which agent took what action, what tools were called, what LLM responses were generated, token counts, hallucination scores, and where failures occurred.
Use Case:
Debugging a customer support crew that's misrouting tickets by tracing the classification agent's decision process step by step, with token cost and hallucination score visibility.
Configurable guardrails that constrain agent behavior, plus human approval gates that pause execution at critical decision points for manual review. Supports both UI-based and Slack/Teams-based human input.
Use Case:
Setting up a guardrail that requires human approval via Slack before an agent sends any external email or modifies CRM records above a certain deal value.
Studio integrates with GitHub for version control and generates clean CrewAI Python code that can be exported and deployed independently on your own infrastructure — no vendor lock-in.
Use Case:
Prototyping a multi-agent system visually in Studio, pushing configurations to GitHub, then exporting the Python code for deployment on internal Kubernetes infrastructure.
Free
month
$25.00/month
month
Custom pricing — contact sales
Ready to get started with CrewAI Studio?
View Pricing Options →Business teams building AI agent workflows that integrate with Gmail, Slack, and Microsoft Teams without Python development
Organizations prototyping multi-agent AI systems visually before committing to code-based CrewAI implementations
Teams needing MCP-compatible agent workflows that other AI tools (Claude Desktop, Cursor) can call as services
Companies deploying autonomous agents with guardrails and human-approval gates for safety-critical workflows
Cross-functional teams where non-technical stakeholders need to contribute to agent design and prompt development
CrewAI Studio works with these platforms and services:
We believe in transparent reviews. Here's what CrewAI Studio doesn't handle well:
Yes. Studio generates clean CrewAI Python code that can be exported and deployed independently. GitHub integration enables version control. You're not locked into the Studio platform and can migrate to self-hosted CrewAI at any time, keeping all your agent configurations and workflow logic.
The open-source CrewAI framework is completely free — you only pay for LLM API calls. Studio adds the visual editor, hosted deployment, monitoring, and enterprise features. The Professional plan is $25/month with 100 included executions and $0.50 per additional. If your team has Python expertise, using the framework directly is significantly cheaper. Studio's value is in accessibility and managed infrastructure.
Each workflow execution counts against your plan's limit. The Basic (free) plan includes 50 executions/month with no option to purchase more. Professional includes 100 executions with unlimited additional at $0.50 each. Enterprise plans include up to 30,000 executions with custom overage pricing.
Yes. Studio supports conditional workflows, branching logic, hierarchical/sequential/parallel execution patterns, and complex agent coordination through the visual flow designer. For highly complex scenarios, you can export to Python for additional customization and push changes via GitHub integration.
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CrewAI restructured pricing in 2026: Professional plan reduced to $25/month (from $99) with 100 included executions and $0.50/execution overage. Added OpenTelemetry tracing, hallucination scoring, GitHub integration, and MCP server export. Enterprise tier expanded with FedRAMP High certification, PII detection/masking, and Forward Deployed Engineers.
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