CrewAI's Agent Management Platform (AMP) empowers anyone to automate intelligence-driven, time-consuming processes and tasks by building crews of AI agents that perform them autonomously.
Build and integrate a crew of AI agents that support you in minutes via natural language, a drag-and-drop UI or intuitive code.
Observe and optimize agentic workflows to ensure they're always producing repeatable, reliable outcomes for the business.
Manage and scale the use of Agentic AI across multiple departments and teams efficiently and safely.
CrewAI AMP enables enterprises to accelerate the adoption of AI agents across departments, business units and teams by supporting every stage from initial development to production scaling, and to do it efficiently and reliably.
A crew of specialized AI agents can be built in minutes with CrewAI Studio, a visual editor with a drag- and-drop interface and an AI copilot for assitance. However, developers and engineers can take advantage of both object and event-based APIs to apply advanced options.
Empower anyone within an organization to build agentic workflows without requiring technical expertise.
Build agentic workflows programmatically via APIs that provide greater control and customization.
AI agents can interact with business apps such as Asana, Gmail, HubSpot,Microsoft Teams, Salescorce, Slack and Zendesk via native integrations, while custom tools can be created using CrewAI APIs and added to a private tool repository for use by AI agents within the organization.
Provide AI agents with access to the tools and business apps they need to perform complex tasks.
Create custom tools that allow AI agents to interact with internal, proprietary applications and systems.
Complete visibility is required to built trust in AI agents, ensure they are performing tasks as expected and identify any steps where they can benefit from additional instructions. CrewAI's tracing enables AI builders to see what AI agents are doing in real time, and why.
See precisely how teams of AI agents plan tasks, prompt LLMs, call tools and interpret results.
AI agent training, with and without human feedback, helps AI agents learn to produce repeatable, reliable outcomes, while agentic workflows can be tested with multiple LLMs in order to identify the model which produces the optimal balance of cost per token and quality.
Improve AI agents by performing automated, iterative training which discovers and applies relevant suggestions.
Experiment with different LLMs to see which models perform better on specific tasks.
Performance metrics and usage dashboards allow for continuous monitoring of agentic workflows, and with role-based access control (RBAC), deployment history and streaming logs too, enable admins and operators to manage 1,000s of agents and workflows efficiently.
Monitor everyting from agentic workflows created, deployed and executed to performance and errors.
Track current and previous agentic workflow executions based on status, time and type.
CrewAI AMP, whether on CrewAI or customer-managed infrastructure, scales to millions of agentic workflow executions. However, equally as important, it is designed to help organizations scale the use of agentic AI through the features such as reusable agents and tools.
Share AI agents for reuse in agentic workflows created by other business units, departments and teams.
Built custom, reusable tools so AI agents can interact with in house systems and apps, and avoid duplicating efforts.
Manage the full AI agent lifecycle — build, test, deploy, and scale — with a visual editor and ready-to-use tools.
All the power of AMP Cloud, deployed securely on your own infrastructure — on-prem or private VPCs in AWS, Azure, or GCP
An open-source orchestration framework with high-level abstractions and low-level APIs for building complex, agent-driven workflows.