Evaluation record · crewai

CrewAI

v1.14.6

CrewAI Inc.

Agentmulti-agentcollaborativeopen-source

Strong

About This Agent

Role-playing multi-agent framework for orchestrating collaborative autonomous agents. Agents work as a crew with defined roles, goals, and backstories to tackle complex tasks through delegation. Commercial offerings: the CrewAI AMP managed platform and self-hosted CrewAI Factory. Note: four Code Interpreter CVEs (CVE-2026-2275/2285/2286/2287) disclosed 2026-03-30; vendor reports all fixed in current releases, with the built-in CodeInterpreterTool removed in favor of external sandboxes.

Last Evaluated: July 9, 2026

Official Website

Trust Vector Analysis

Dimension Breakdown

🚀Performance & Reliability

task completion accuracy

Based on multi-agent coordination testing

Evidence

CrewAI Documentation — Task completion depends on agent collaboration and delegation

mediumVerified: 2026-07-09

tool use reliability

Tool integration testing

Evidence

CrewAI Tools — Supports LangChain tools and custom tool creation

highVerified: 2026-07-09

multi step planning

Complex task testing

Evidence

CrewAI Process Types — Sequential and hierarchical processes for complex task decomposition

highVerified: 2026-07-09

memory persistence

Memory system evaluation

Evidence

CrewAI Memory — Short-term, long-term, and entity memory support

mediumVerified: 2026-07-09

error recovery

Error handling testing

Evidence

Community Reports — Basic error handling, agent delegation can help recovery

mediumVerified: 2026-07-09

agent collaboration

Multi-agent coordination testing

Evidence

CrewAI Core Concepts — Purpose-built for multi-agent collaboration and delegation

highVerified: 2026-07-09

🛡️Security

tool sandboxing

Security architecture review plus disclosed vulnerability analysis

Evidence

CrewAI Architecture — No built-in sandboxing, relies on tool implementation

CERT/CC VU#221883 — CVE-2026-2275, CVE-2026-2285, CVE-2026-2286, CVE-2026-2287: Code Interpreter fell back to unsandboxed execution when Docker unavailable (RCE), arbitrary local file read in JSON loader, and SSRF in RAG search tools via prompt injection

CERT/CC VU#221883 (vendor statement) — Vendor reports all issues fixed in current releases: CodeInterpreterTool removed entirely, allow_code_execution deprecated, centralized path/URL validation added; external sandboxes (E2B, Daytona) recommended for code execution

highVerified: 2026-07-09

access control

Access control assessment

Evidence

Self-Hosted Framework — Access control implementation is developer's responsibility

mediumVerified: 2026-07-09

prompt injection defense

Injection attack testing

Evidence

Agent Role System — Role-based constraints provide some protection

mediumVerified: 2026-07-09

data isolation

Data architecture review

Evidence

Crew Isolation — Crews operate independently with separate contexts

mediumVerified: 2026-07-09

open source transparency

Source code review

Evidence

CrewAI GitHub — Open source MIT license, 20k+ stars, active community

highVerified: 2026-07-09

🔒Privacy & Compliance

data retention

Privacy architecture review

Evidence

Self-Hosted Architecture — Full control over data retention when self-hosted

highVerified: 2026-07-09

gdpr compliance

Compliance capabilities assessment

Evidence

Open Source Framework — GDPR compliance possible with proper configuration

mediumVerified: 2026-07-09

third party data sharing

Data flow analysis

Evidence

LLM Integration — Data sent to configured LLM provider (OpenAI default)

mediumVerified: 2026-07-09

local deployment option

Deployment options assessment

Evidence

Local LLM Support — Supports local LLMs via Ollama and LM Studio

highVerified: 2026-07-09

👁️Trust & Transparency

documentation quality

Documentation completeness review

Evidence

CrewAI Docs — Good documentation with examples and tutorials

highVerified: 2026-07-09

execution traceability

Logging capabilities assessment

Evidence

Logging Features — Basic logging of agent interactions and task execution

mediumVerified: 2026-07-09

decision explainability

Explainability features assessment

Evidence

Agent Roles — Agent roles and goals provide context for decisions

mediumVerified: 2026-07-09

open source code

Open source assessment

Evidence

GitHub Repository — MIT licensed, 20k+ stars, very active development

highVerified: 2026-07-09

community activity

Community engagement analysis

Evidence

GitHub Activity — Very active community with frequent updates

highVerified: 2026-07-09

⚙️Operational Excellence

ease of integration

Integration complexity assessment

Evidence

CrewAI Quickstart — Simple API with intuitive role-based design

highVerified: 2026-07-09

scalability

Scalability testing

Evidence

Community Discussions — Scalability depends on infrastructure and LLM rate limits

mediumVerified: 2026-07-09

cost predictability

Pricing model analysis

Evidence

Open Source Pricing — Free framework, costs only from LLM API calls

highVerified: 2026-07-09

monitoring capabilities

Monitoring features assessment

Evidence

Built-in Features — Basic logging, requires external tools for comprehensive monitoring

mediumVerified: 2026-07-09

production readiness

Production readiness assessment

Evidence

Framework Maturity — Rapidly evolving framework, some API changes between versions

crewai on PyPI — Stable 1.x series: latest release 1.14.6 (2026-05-28); repo very active (~55,200 stars, pushed 2026-07-09); enterprise AMP platform and self-hosted Factory available

mediumVerified: 2026-07-09

Strengths

+Intuitive role-playing paradigm makes agent design natural
+Excellent for complex tasks requiring specialized expertise
+Strong multi-agent collaboration and delegation capabilities
+Open source with very active community and rapid development
+Easy to get started with simple, clean API
+Good integration with LangChain tools ecosystem

Limitations

!Four CVEs disclosed 2026-03-30 (RCE via Code Interpreter sandbox fallback, arbitrary file read, SSRF); vendor fixed by removing the built-in CodeInterpreterTool, so code execution now requires an external sandbox (E2B, Daytona)
!Can be expensive with multiple agents making LLM calls
!Agent coordination overhead can increase latency
!Rapidly evolving API may require code updates
!Limited built-in security and sandboxing features
!Monitoring and observability require external tools
!Performance can be unpredictable with complex crews

Metadata

license: MIT

supported models

0: OpenAI GPT-4

1: Anthropic Claude

2: Local LLMs via Ollama

3: Azure OpenAI

programming languages

0: Python

deployment type: Self-hosted

tool support

0: LangChain tools

1: Custom tools

2: Built-in tools

github stars: 55200+

first release: 2023

current version: 1.14.6 (2026-05-28)

pricing: Framework free (MIT) - Costs from LLM API calls. Managed CrewAI AMP platform: Free tier (50 executions/month), paid tiers from ~$25-99/month, custom Enterprise pricing; self-hosted CrewAI Factory for on-prem/private cloud

pricing last verified: 2026-07-09

funding: $18M total including Series A led by Insight Partners (announced 2024-10-22)

enterprise offering: CrewAI AMP (managed SaaS) and CrewAI Factory (containerized self-hosted) with visual editor, observability, triggers, and guardrails

python requirement: Python >=3.10 <3.14

adoption: Powers 1.4B+ agentic automations globally (vendor claim)

security advisories: CVE-2026-2275, CVE-2026-2285, CVE-2026-2286, CVE-2026-2287 (CERT VU#221883, disclosed 2026-03-30; vendor reports fixed in current releases as of 2026-05-20)

Use Case Ratings

customer support

Multiple specialized agents can handle different support aspects

code generation

Separate agents for coding, reviewing, and testing works well

research assistant

Excellent for multi-agent research teams (researcher, analyst, writer)

data analysis

Good for collaborative data analysis with specialized roles

content creation

Ideal for content teams (writer, editor, SEO specialist)

education

Multi-agent teaching team concept works for complex topics

healthcare

Requires significant security hardening for healthcare use

financial analysis

Self-hosted option suitable but needs compliance features

legal compliance

Multiple specialized legal agents can analyze different aspects

creative writing

Outstanding for creative teams with different perspectives