CrewAI
An enterprise platform for building and running AI agents with governance, observability, and security controls
- Also known as
- crewai
Available worldwide
What is CrewAI?
CrewAI is a platform that enables teams to design, deploy, and govern production-grade AI agents. It provides both a visual builder for non-technical users and APIs for developers, with built-in compliance, tracing, and runtime management for enterprise deployments.
CrewAI pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
Free tier with 50 workflow executions per month; Enterprise tier with custom pricing for scaled deployments
Basic
FreeBuild an agentic workflow and explore collaborative AI agent capabilities
- workflow_executions
- 50/month
- Visual editor and AI copilot
- GitHub integration
- 50 workflow executions/month
- Standard tools and triggers
- Agentic workflow templates
- Export as MCP server
- Export as UI component
- CrewAI cloud deployment
- OpenTelemetry tracing
- Usage dashboard
- Token count tracking
- Performance metrics
- Workflow chat UI
Enterprise
Contact salesScale agentic AI across the organization with governance, security, and compliance controls
- Everything in Free, plus:
- SSO (MS Entra, Okta)
- Role-based access control
- Workload identity
- PII redaction
- Enterprise policies
- Enterprise connectors
- Private agent repository
- Private tools repository
- Dedicated VPC
- On-premise deployment
- Custom infrastructure deployment
- NAT
- FedRamp High certified
- SAM certified
- AI agent training
- LLM testing
- Guardrails
- Human-in-the-loop input
- Workflow chat Slack/Teams
- Hallucination scores
- Deployment history
- LLM management
- Automatic scaling
- Cron scheduling
- Dedicated support contact
- 45-day onboarding
- Forward-deployed engineering
What CrewAI does
The capabilities that matter for mlops & llmops tools, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Tool role
- End-to-end ML platform
- Self-hostable / OSS core
- ✓
- Managed cloud available
- ✓
- On-prem / VPC deployment
- ✓
- LLM tracing / observability
- ✓
- Evaluation (offline / LLM-judge / human)
- ✓
- Prompt management + versioning
- ✓
- Experiment tracking / model registry
- ✓
- Model serving / inference endpoint
- ✓
- OpenTelemetry / OpenLLMetry compatible
- ✓
- Framework-agnostic
- ✗
- Multi-provider model support
- ✓
- No-train-on-customer-data guarantee
- Unknown
Platform & deployment
Independently observed- CLI
- macOS
- Web
- Linux
- Cloud / SaaS
- Hybrid
- On-premise
- Self-hosted
Integrations (22)
Independently observed- Claude→•
- Gemini→•
- DashScope→•
- NVIDIA NIM
- GitHub
- Slack
- Microsoft Teams
- Arize
- Galileo
- DataDog
- Patronus
- IBM Db2
- OpenTelemetry
- LiteLLM
- Anthropic
- E2B
- Daytona
- AWS Bedrock
- Ollama
- OpenAI
- Model Context Protocol
- SerperDev
Security & compliance
Independently observed- FedRamp Highactive
- SAM Certifiedactive
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
CrewAI FAQ
Common questions about CrewAI, answered from independent, dated evidence.
What is CrewAI?
A comprehensive platform combining an open-source Python framework for multi-agent workflows with a managed cloud control plane that adds governance, security, tracing, and deployment capabilities for enterprise production use. It is indexed under MLOps & LLMOps Tools.
Source: https://crewai.com/pricing
Is CrewAI free to use?
CrewAI is open source, so it can be self-hosted and used at no licence cost. It is released under the MIT licence. Paid editions are also offered: Enterprise, priced on request. Pricing changes often, so verify at source before relying on it.
Source: https://crewai.com/pricing
What platforms does CrewAI support?
CrewAI supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Source: https://crewai.com/pricing
Can CrewAI be self-hosted?
Yes. CrewAI can be deployed cloud / SaaS, hybrid, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://crewai.com/pricing
What does CrewAI integrate with?
We have confirmed 19 integrations for CrewAI, including NVIDIA NIM, GitHub, Slack, Microsoft Teams, Arize, Galileo, DataDog and Patronus, plus 11 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Source: https://crewai.com/pricing
What security certifications does CrewAI have?
We have independently confirmed SOC 2 and HIPAA for CrewAI. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as CrewAI not holding them. Always confirm compliance directly before you rely on it.
Source: https://trust.crewai.com
Is CrewAI open source?
Yes. CrewAI is published under the MIT licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.
CrewAI alternatives
Other mlops & llmops tools we track, ranked by the same independent score.
- PortkeyAn API gateway for routing requests across thousands of language models with built-in safety guardrailshigh · 76%
- LangChainA platform for building, testing, and operating AI agents at scalemedium · 70%
- BasetenAn inference platform for deploying and running AI models at scalemedium · 73%
- Together AICloud platform for deploying and running open-source AI models with optimized inferencemedium · 61%
- OllamaA platform for running open-source language models locally or in the cloud with cost-effective access.medium · 57%
- RayDistributed computing infrastructure for scaling machine learning applicationsmedium · 65%
Compare CrewAI
Side by side against other mlops & llmops tools, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for CrewAI, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Package downloads | 86 | 0.14 | 11.8 | ✓ |
| Capabilities | 100 | 0.07 | 7.0 | ✓ |
| Development activity | 63 | 0.09 | 5.9 | ✓ |
| Release cadence | 99 | 0.05 | 5.2 | ✓ |
| Security posture | 55 | 0.06 | 3.5 | ✓ |
| Integrations | 34 | 0.08 | 2.7 | ✓ |
| Stars | 90 | 0.03 | 2.3 | ✓ |
| Dependent projects | 0 | 0.06 | 0.0 | ✓ |
| Security score | 0 | 0.04 | 0.0 | - |
| Developer Q&A activity | 0 | 0.06 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 100 | mediumsource · 2026-09-11 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 7 items | mediumsource · 2026-09-10 · 66% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Role: platform · Evaluation: Yes · Managed cloud: Yes · Model serving: Yes · Pricing model: commercial_enterprise_platform · Self hostable: Yes | mediumsource · 2026-09-11 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 14 | mediumsource · 2026-09-11 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-09-11 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | MIT | highsource · 2026-09-11 · 95% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-09-11 · 75% |
Pricing
Release
Reliability
| Attribute | Value | Evidence |
|---|---|---|
| Status page | Yes | mediumsource · 2026-08-03 · 60% |
Security
| Attribute | Value | Evidence |
|---|---|---|
| Disclosure policy | Yes | mediumsource · 2026-08-14 · 60% |
| Hipaa | Yes | highsource · 2026-08-03 · 75% |
| Soc2 | Yes | highsource · 2026-08-03 · 75% |
| Fedramp | Yes | mediumsource · 2026-09-11 · 60% |
| Vulnerabilities | Count: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=crewai-clean&per_page=100 · Last 12m: 0 | highsource · 2026-09-11 · 90% |
| Certifications | FedRamp High, SAM Certified | mediumsource · 2026-09-11 · 60% |
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