CrewAI

Helps teams identify valuable automation opportunities, build and deploy agent workflows, and govern their performance and scale.

Helps business and technical teams turn workflow ideas into testable agent systems they can own and deploy to production.

Enables developers to build and orchestrate collaborative AI agents for complex workflows with configurable tools, memory, and execution controls.

CrewAI Agent Management Platform (AMP)

CrewAI AMP is an enterprise platform for discovering where to automate, building and deploying AI agent workflows, and governing them at scale. Teams can create workflows with a no-code, prompt-driven builder or code, then run them on a centrally governed runtime. AMP provides agent tracing, real-time performance and outcome visibility, role-based access, audit trails, human-in-the-loop checkpoints, and configurable runtime policies. It supports enterprise integrations and reusable components, with deployment options including CrewAI cloud, a customer VPC, or customer infrastructure. Its CrewAI Discovery capabilities analyze business context and production patterns to surface company-specific automation opportunities, assess their impact and complexity, and help teams move from recommendations to building.

• Identify High-Value Automation Opportunities
  Use organizational context and evidence from production patterns to find potential automations and focus teams on workflows with relevant business value.
• Build Agent Workflows With Or Without Code
  Enable business users to create workflows through a no-code builder while allowing engineers to build with code and contribute reusable components.
• Govern Agent Deployments From One Control Plane
  Configure and manage governance across AMP deployments from one place, with controls for access, auditing, human review, and runtime policy enforcement.
• Enforce Runtime Boundaries And Policy Controls
  Apply runtime controls to data handling, approved models and tools, execution schedules, content, and cost thresholds, with custom policies available for organization-specific requirements.
• Ground Decisions In Production Evidence
  Use patterns from production data to inform automation recommendations rather than relying only on intuition or generic templates.
• Get Recommendations Tailored To Your Business
  Review processes reimagined for the company’s circumstances, with information about how each suggested use case could fit the organization.
• Prioritize Opportunities By Value And Readiness
  Compare automation opportunities using effort, value, readiness, expected impact, and complexity to help teams decide where to focus.
• Orchestrate Agents Across Enterprise Workflows
  Run teams of AI agents that interact with enterprise applications and tools to carry out workflows and tasks.
• Deploy Agents To Production Environments
  Move agent workflows into production on the AMP runtime, with deployment options that include CrewAI cloud, a customer VPC, or customer infrastructure.
• Trace Runs And Monitor Agent Performance
  Give teams visibility into how deployed automations run, their steps and outcomes, and their spending across models and providers.
• Move From Discovery To Building Faster
  Carry context from a discovered opportunity into the build process to support a quicker transition from deciding what to automate to building it.
• Add Your Organization's Context
  Connect internal information sources so recommendations can reflect organizational knowledge and systems alongside external signals.
• Add Human Review To Agent Workflows
  Insert human feedback and approval checkpoints into workflows to support oversight of agent actions.
• Control Access And Protect Workload Credentials
  Manage access through role-based controls and workload identity, and use secret providers to avoid hardcoding credentials in prompts or repositories.
• Evaluate And Improve Agent Workflows
  Use performance and outcome visibility to identify effective automations, redeploy those that need improvement, and refine workflows over time.
• Refine And Share Recommendations
  Explore and improve suggested automations interactively, then share them in a presentation format to support team alignment.
• Connect Agents To Governed Enterprise Data
  Use managed data access patterns for semantic questions, governed queries, approved business logic, and retrieval, enabling workflows to access only the integrations they need.
• Reuse Components And Agent Capabilities
  Share and reuse engineering components and agent capabilities across workflows and teams.
• Scale And Schedule Agent Workflows
  Deploy across the listed infrastructure options, scale automatically, and schedule workflow execution.

CrewAI Studio

CrewAI Studio is an automated agent builder for business and technical teams. Users describe a workflow in plain language, and Studio designs its architecture, creates steps and agents, and connects the workflow to business tools. Teams can build deterministic Flows with agent intelligence, test and trace executions, and deploy workflows to production. The resulting code can be downloaded, modified, and extended, while platform owners manage builds within a governed environment.

Category: AI Agent Platforms

• Turn Workflow Ideas Into Agentic Architectures
  Teams can express a workflow directly instead of assembling every component by hand. Studio creates an architecture with elements such as agents, tasks, tools, models, Flows, and integrations.
• Test, Trace, And Deploy Workflows
  Examine what a Flow produced and how it ran, then deploy it from the environment where it was built and tested.
• Build Agent Systems Visually
  Business users and technical teams can create agent systems in a visual environment, with the option to move from visual building to code.
• Control Workflow Order While Applying Agent Judgment
  Combine predictable step-by-step execution with agent reasoning where a task requires judgment, helping make workflows debuggable, testable, and suitable for production.
• Connect Workflows To 1,000+ Applications
  Connect workflows to business tools, including email, messaging, CRM, and helpdesk applications, using managed integrations.
• Export And Own The Generated Code
  Review code produced by the visual builder, adapt it, and carry it forward in existing development processes.
• Build Together Within A Governed Environment
  Business teams can shape workflows while engineers review, harden, or extend them and platform owners oversee the build and runtime environment.
• Compose Workflows With Agents, Crews, And Routers
  Choose a step type for each process stage: a focused agent task, a bounded multi-agent collaboration, or a branch that routes outcomes along different paths.
• Reuse Agents Across Teams And Flows
  Use agents already built by the organization across multiple workflows, while giving platform owners visibility into agents used in new Flows.
• Choose Models, Clouds, And Deployment Options
  Select models, integrations, and managed or self-hosted deployment options, and deploy workflows to CrewAI AMP infrastructure.

CrewAI Open Source

CrewAI Open Source is an open-source, multi-agent framework for building complex, agent-driven workflows. It provides high-level abstractions and low-level APIs for defining agents, tasks, crews, and flows. Developers can configure agents in YAML, code, or both, and use planning, memory, tools, collaboration protocols, asynchronous execution, and checkpointing to build agentic systems.

Category: AI Agent Orchestration Software

• Coordinate Agents Around Shared Work
  Define agents with roles, goals, and backstories, then organize them into crews that collaborate on tasks. A2A support enables agent collaboration and discovery.
• Recover From Errors Automatically
  Plan through complex, long-running tasks and recover automatically when errors occur.
• Connect Agents To Tools And Services
  Use available open-source tools or connect MCP and custom MCP servers. Agents can search the internet, interact with websites, query vector databases, run code, and use sandbox tools.
• Manage Context Intelligently
  Agents can retain relevant information, resolve conflicting memories, intentionally forget information, and identify when they lack enough context.
• Resume Or Branch From Saved State
  Capture workflow state to replay from a specific step, fork a workflow, or try different task inputs without restarting from scratch.
• Run Workflows Asynchronously
  Use native async/await to run agent workflows and receive streaming results from crews and flows in real time.
• Configure Agents For Your Workflow
  Set up agents in YAML or code and select their models, reasoning, memory, tools, skills, knowledge sources, sandbox environments, and checkpointing.
• Orchestrate Multi-Step Workflows
  Structure workflows with orchestration, state, branching, and event-driven control for longer-running processes.