CrewAI is a multi-agent platform which enables companies to develop, deploy and administer a group of AI-agents that are capable of independently and reliably completing multiple complex operations. CrewAI offers development tools for establishing agentic workflows that connect to an organization's existing enterprise applications such as HubSpot, Salesforce, and Slack; and supports both developers and organizations looking to accelerate their own use of AI-agents within their various business units.
Founded by João Moura, former Director of AI-Engineering at Clearbit (which was acquired by HubSpot).
CrewAI received seed capital from BoldStart Ventures.
Received $18M Series A from Insight Partners, with participation from Andrew Ng and Dharmesh Shah.
Released CrewAI AMP, an enterprise-level agent management and scaling tool.
Cloud and on-premises (AWS, Azure, GCP)
Multi-agent orchestration framework compatible with LLMs from OpenAI, Anthropic, and others via APIs; supports custom tools and processes.
Inferred from official website, GitHub repo, and documentation
| Service | Cost | Details | Source |
|---|---|---|---|
| Free Plan | $0 | 50 monthly executions, 1 live deployed crew, 1 seat. Suitable for experimentation and prototyping. | CrewAI pricing page |
| Basic Plan | $99/month | 100 monthly executions, 2 live deployed crews, 5 seats. Entry-level production use. | CrewAI pricing documentation |
| Standard Plan | $500/month | 1,000 monthly executions, 2 live deployed crews, unlimited seats. For growing teams. | CrewAI pricing documentation |
| Pro Plan | $1,000/month | 2,000 monthly executions, 5 live deployed crews, unlimited seats. Advanced deployment capabilities. | CrewAI pricing documentation |
| Enterprise Plan | Custom pricing | 10,000+ monthly executions, enhanced support, VPC deployment options. Custom SLA and compliance requirements. | CrewAI pricing documentation |
| Ultra Plan | Custom pricing | 500,000+ monthly executions, dedicated infrastructure, custom integrations, premium support. | CrewAI pricing documentation |
| Feature | CrewAI | LangChain | AutoGen | Lindy AI |
|---|---|---|---|---|
| Starting Price | $99/month | Open source | Open source | $49.99/month |
| Free Tier | Yes (50 executions) | Yes | Yes | Yes |
| Visual No-Code Editor | Yes | Limited | No | Yes |
| Total Integrations | 1,200+ (enterprise-focused) | 600+ | 100+ | Moderate |
| LLM Provider Support | 50+ | 100+ | 20+ | Major providers |
| Enterprise SSO/SAML | Yes | Partial | No | Yes |
| API Availability | Yes (Python-focused) | Yes (Comprehensive) | Yes | Yes |
| SOC 2 / GDPR Compliance | Yes | Yes | Limited | Yes |
| On-Premise Deployment | Yes (Enterprise) | Yes | Yes | Yes |
| Serverless Scaling | Yes | Limited | Yes | Yes |
CrewAI is the more mature and open-source framework of the two, boasting over 600 integrations into other tools, and a larger overall ecosystem, while LangChain is focused more on being flexible and widely adopted within communities. CrewAI also has a focus on creating an enterprise ready solution for multi-agent orchestration, boasting over 1200 enterprise level integration options, compared to LangChain’s focus on flexibility and community adoption. Additionally, CrewAI offers a hosted version of their platform for which they charge ($99 per month to start) while LangChain remains completely free and open-source.
Use CrewAI if you want to rapidly deploy enterprise level AI Agents with a managed platform offering many features; choose LangChain if you need the most flexibility and control over your cost with a higher degree of involvement with your development process.
AutoGen is an open source multi-agent framework well suited for conversational work flows and complex automation. CrewAI on the other hand, is both an open source framework and a commercially available Agent Management Platform (AMP) that includes a visual agent designer, additional enterprise-level functionality and the ability to be used as a managed service. While AutoGen has a wider selection of LLM providers, CrewAI focuses more on providing a beautiful experience when orchestrating multiple agents in addition to providing a reliable solution for enterprises.
Choose CrewAI for the rapid deployment of Production Grade Deployed Agents with compliance features; choose AutoGen for Research and Development purposes or when you need to build complex conversational workflows with maximum flexibility of your LLMs.
Lindy is a no-code AI automation tool beginning at $49.99/month with a fully functional free tier. CrewAI begins at $99/month and is targeted towards technical teams and enterprises who require custom built AI agents. Lindy allows users to easily build pre-defined automations, while CrewAI provides more advanced multi-agent orchestration. CrewAI is best suited for teams who are building custom agents, while Lindy is best for business automation requiring less technical overhead.
CrewAI is best suited for Developers who are building complex Multi-Agent Systems; Lindy is best suited for Business Teams that need Pre-Built, Simple Automation Workflows at a lower cost.
OpenAI Assistants focuses on the abilities of an individual agent and conversational intelligence while CrewAI focuses on the coordination and orchestration of multiple agents, as well as team-based work flows. CrewAI also has a pricing structure based upon execution-based quotas rather than per API usage such as OpenAI does. CrewAI offers features such as Visual Studio, Managed Deployment, and Enterprise Compliance while OpenAI's primary focus is the capabilities of its models and their flexibility.
CrewAI is best suited for Orchestration of Multi-Agent Automation Workflows; OpenAI Assistants is best suited for Single-Agent Conversational Experiences and Custom Model Integration.
UiPath is legacy RPA (Robotic Process Automation) software that has a large share of the market, is complex to implement, and can be expensive. CrewAI is AI-native, Cloud-First, and is relatively easy to set up. UiPath is capable of handling large-scale structured automation with mature support. CrewAI reduces the amount of development time by approximately 30% over traditional RPA; however, UiPath is more proven for use with large enterprises that have legacy systems that require more complex automation processes.
Choose CrewAI for Rapid Adoption of AI-Driven Automation; choose UiPath for Large Established Enterprises with Complex Legacy RPA Infrastructure and Massive Scale Requirements.
CrewAI is an open-source framework for creating teams of role-playing, autonomous AI agents that work collaboratively on complex tasks. In addition to supporting the creation of "crews" of agents, CrewAI also provides support for defining tasks, tools, and processes for each member of the crew (e.g., sequential or hierarchical).
The open source version of CrewAI is free. The Enterprise version of AMP has both on prem and cloud versions that have a visual editor, also include monitoring, and scale. Details of pricing start with a free trial of AMP and can be found here: https://crewai.com/pricing.
CrewAI focuses on multi agent orchestration, using high level abstractions to define crews and flows. While LangChain is designed to be used to define chains of LLMs, CrewAI allows agents to collaborate, share memory, and deploy into an enterprise environment.
The Enterprise version of CrewAI will allow you to run your agents in an on prem environment, for data control purposes. Agents are secured through RBAC secure integration, and the open source version runs locally. The Enterprise version of CrewAI will provide enterprise grade monitoring and guardrails.
Yes, the Enterprise version of AMP (CrewAI) comes with native integrations for Slack, Gmail, Salesforce, GitHub, and many other applications. Agents can send messages, create and manage channels, and automate workflows for these applications.
Use https://docs.crewai.com/, the community forum, and GitHub discussions. Enterprise customers will receive dedicated support, and team management functionality.
Yes, you may sign up for a Cloud Trial of CrewAI AMP. The open source version of CrewAI is limitless, and can be run locally immediately.
The open source version does not have enterprise class monitoring and triggers. Performance of dependent LLM providers. Best suited for developers who have experience writing python.
CrewAI is currently the most well known open source multi agent orchestration framework, providing developers a way to build collaborative AI "crews" to accomplish complex tasks. The Enterprise version of AMP (CrewAI) takes this to the next level, adding visual tools, enterprise class integrations, and on prem capabilities, which are being utilized by Fortune 500 companies. However, for advanced customizations, python expertise is required.
CrewAI is best suited for developers and organizations building production-ready multi-agent AI work flows.
CrewAI is a mature open source framework for production multi-agent AI using visual builders, as well as integrating with other services such as Slack and SalesForce, has been used by companies such as DocuSign and PWC to increase their efficiency. The strong community support and high G2 rating show its reliability for developer workflow. The Enterprise AMP of CrewAI allows for scalability through monitoring and security.
Good - official site, docs, GitHub, G2 reviews verified multiple aspects; limited direct contact details, enterprise specifics via sales.
CrewAI has an active GitHub repository with over 20k stars, a dedicated forum, and a Discord-like discussion area. Quickstarts and examples are regularly posted.
Lead contact time is reduced by DocuSign; lead quality is improved by Gelato; code gen accuracy is increased by PWC from 10% to 70%; and support is enhanced by Piracanjuba.
Native tools for Gmail, Slack, Salesforce, GitHub, Microsoft Teams, and Hubspot in the Enterprise AMP.
The core framework is MIT licensed and available at GitHub/crewAIInc/crewAI. The quickstarts repository is available for hands-on learning.
Current development is adding enhancements to triggers, integration toolkit, and flows for long running workflows.
Coordinate different AI agents working as a team to accomplish a task.
Have access to 40 + pre-made tools such as web scraping, file management, and API interaction.
Browse the Internet, pull data from the Internet and automate tasks on the Internet.
Pull data from and write to files in a variety of formats (PDF, DOCX, JSON, CSV, etc.).
Write Python code and have the agent execute it and then analyze the output.
Pull information from Gmail, Slack, Microsoft Teams, HubSpot, Salesforce, Jira and many other applications.
Retain context and recall previous memory sessions from the agent.
Take a large project and break it up into smaller, manageable pieces by creating a plan for the agent to follow.
Model-agnostic framework supporting 30+ LLM providers with Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols for seamless model switching
Extensible tool ecosystem with 40+ pre-built integrations and custom tool creation capabilities for enterprise applications and third-party services
The agent requires validation by humans prior to executing important actions.
The agent is restricted to performing only approved actions with only approved tools.
All of the agent's actions are logged along with the results of all the tools called and all the decisions made by the agent.
A complete record of the entire process executed by the agent with specific details for compliance and auditing purposes.
Ability to adjust the amount of time that each action takes to complete, limit the number of times that the agent uses APIs and restrict the use of resources by the agent.
Ability to isolate the environment where code is being run so that it does not interfere with production systems and also allows testing to occur safely.
A centralized dashboard where agents can be created and managed, their performance monitored and policies enforced across all teams.
Establish what users can do when it comes to agents (create, deploy and manage), establish the level of permission for each user and determine who will be responsible for each group of users.
