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CrewAI vs Vivgrid

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

CrewAI compared with Vivgrid
Detail CrewAIVivgrid logo Vivgrid
What it doesThe Enterprise Agent Build & Runtime for the work your business runs on The Managed Skills Platform for AI Agents
StageNot given Not given
FoundedNot given Not given
Based inNot given US
Pricing modelFreemium Freemium
PricingFree plan with 50 workflow executions per month and visual editor. Enterprise plan with custom pricing includes governance, dedicated VPC, and comprehensive support. Free plan with pay-as-you-go model usage, 5M TPM / 100 RPM rate limits. Growth plan: $25/month with $25 in token credits included, 15M TPM / 3,000 RPM rate limits. Enterprise plan: custom, volume-based pricing with BYOC, SSO/SAML, custom SLAs, VPC and private deployments.
Key features
  • Visual editor and AI copilot
  • No-code visual editor, exportable to Python
  • Code-first API built for total control
  • Real-time tracing of every LLM call, tool call, and memory read
  • RBAC and audit with immutable audit trails and Enterprise IAM
  • Human-in-the-loop approval gates and intervention during execution
  • Runtime hooks inject PII redaction and policy checks
  • Automated and human-guided training for continuous improvement
  • Multi-LLM testing for model swapping at runtime
  • GitHub integration
  • Managed Skills with instant deployment to all agents
  • Agent observability and debugging across all decisions
  • Globally distributed inference with low latency
  • Safety guardrails and agent evaluation
  • Multi-agent orchestration with stateful memory
  • Centralized security and access control
  • Support for multiple frontier LLM models
  • Real-time cost and performance insights
  • Agent Insights dashboard
What makes it different
  • Agentic use case generator powered by billions of agent runs
  • Intelligently guided by 700k agent workflow patterns
  • Control Plane sits in execution path ensuring every agent interaction is observable, compliant, and reversible
  • Every production run turns into training data to sharpen accuracy and save money
  • Ship agent improvements in minutes instead of release cycles
  • Centralized skill management without requiring redeploy
  • Complete visibility into agent decisions for fast debugging
  • Proven safe releases with guardrails before production
  • No infrastructure expertise required to deploy agents at scale
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)79 no change since last check39 no change since last check
Trust Flow (Majestic)3125
Citation Flow (Majestic)5438
Referring domains (Majestic)82862622

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