πŸ“– The AI Tool Bible

CrewAI vs Glean

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

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CrewAI
Agents
Glean
Agents
TaglinePython framework for multi-agent orchestration.Work AI platform that unifies enterprise knowledge, search, and agents
CategoryAgentsAgents
PricingFreemiumΒ· Free open-source core; cloud platform paidEnterpriseΒ· Enterprise pricing only; commonly reported in the $40-50/user/month range with a floor typically starting around 100 seats. No public self-serve tier. Contact sales for a quote.
ModelBYO (Claude / GPT / open)Model-agnostic: routes across 35+ LLMs including GPT-4o, Claude 3.5/4 Sonnet, Gemini 1.5/2, Llama 3, Mistral, plus Glean in-house models
Editorial score8.4 / 108.5 / 10
Use cases
multi-agentorchestrationPython
Enterprise search across Slack, Drive, Confluence and JiraCompany-wide AI assistant with citationsNo-code agent building for internal workflowsSales account and prospect research agentsEngineering on-call and incident-summary botsHR and IT helpdesk ticket triageNew-hire onboarding assistantExecutive briefing and meeting-prep summariesPolicy and compliance Q&A over internal docsKnowledge-graph-powered people and expertise finder
Pros
  • Clean Python API
  • Strong role/goal abstractions
  • Active community
  • Hosted platform for deployment
  • Deep, permissions-aware indexing of 100+ enterprise SaaS and on-prem sources out of the box
  • Model-agnostic: route between 35+ LLMs including OpenAI, Anthropic, Gemini, and open-source
  • No-code Agent Builder plus SDK/API for developers to ship custom agents
  • Strong governance: SOC 2 Type II, ISO 42001, HIPAA, GDPR, full audit trails and observability
  • Native surfaces in Slack, Teams, browser and mobile so adoption doesn't require a new app
  • Reference customers at scale (Booking.com, Zillow, Samsung, Rivian) validating large-enterprise readiness
  • Enterprise-grade knowledge graph goes beyond RAG with people, projects and topic signals
Cons
  • Production observability still maturing
  • Debugging multi-agent flows is hard
  • Enterprise-only pricing and seat minimums put it out of reach for SMBs and individuals
  • No public pricing page - procurement cycles are long and quotes vary widely
  • Initial connector rollout, permission mapping and change-management can take weeks to months
  • Agent quality is bottlenecked by the messiness of the underlying enterprise data
  • Overlaps with newer offerings from Microsoft Copilot, Google Gemini for Workspace and ChatGPT Enterprise, forcing buyers into a platform decision
Websitewww.crewai.comwww.glean.com
Pick CrewAI if
  • βœ… Clean Python API
  • βœ… Strong role/goal abstractions
  • βœ… Active community
  • βœ… Hosted platform for deployment
Pick Glean if
  • βœ… Deep, permissions-aware indexing of 100+ enterprise SaaS and on-prem sources out of the box
  • βœ… Model-agnostic: route between 35+ LLMs including OpenAI, Anthropic, Gemini, and open-source
  • βœ… No-code Agent Builder plus SDK/API for developers to ship custom agents
  • βœ… Strong governance: SOC 2 Type II, ISO 42001, HIPAA, GDPR, full audit trails and observability
CrewAI vs Glean β€” side-by-side comparison Β· The AI Tool Bible