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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

MuleRun logo
MuleRun
✓ verifiedFreemium

Always-on cloud AI agent that runs multi-step workflows and monitoring on a dedicated 24/7 VM to automate business tasks.

908K visits/mo
Coze AI logo
Coze AI
✓ verifiedFreemium

ByteDance's no-code platform for building and deploying AI chatbots and agents with plugins and workflows.

689K visits/mo
Dify.ai logo
Dify.ai
✓ verifiedFreemium

Open-source platform to build, deploy and monitor agentic AI workflows and RAG apps, with cloud, self-host and enterprise options.

1.1M visits/mo
Voiceflow AI logo
Voiceflow AI
✓ verifiedFreemium

Enterprise platform for designing, launching, and scaling AI agents across voice and chat customer experience channels.

454K visits/mo
Pricing
Free: $0 (200 daily bonus credits, 10 tasks)
Plus: $16/mo (2,000 credits/mo)
Super: $32/mo (4,500 credits/mo)
Pro: $160/mo (23,000 credits/mo)

No public pricing

Sandbox: Free (200 message credits)
Professional: $590/workspace/year
Team: $1,590/workspace/year

No public pricing

Free trial available

Core features
  • Always-on agent on a dedicated 24/7 VM
  • Multi-step task automation (docs, PPT, video, research)
  • Proactive monitoring with alerts and actions
  • Shared/self-improving agent knowledge network
  • Page deployment and drive storage
  • No-code bot and agent builder
  • LLM-powered conversations
  • Plugin ecosystem
  • Visual workflow builder
  • Knowledge base (RAG)
  • Multi-channel publishing
  • Visual workflow studio for agents
  • RAG knowledge pipelines
  • Agent runtime with tools and memory
  • Marketplace of models and plugins
  • Publish as app, API or MCP tool
  • Logging, analytics and monitoring
  • Visual workflow builder for conversational AI agents
  • Support for multiple LLM providers or bring-your-own-model
  • Deployment across voice and chat channels
  • Real-time observability and performance analytics
  • Team collaboration with roles and permissions
  • API integrations with existing business tools
Use cases
  • Automating recurring business workflows overnight
  • Generating reports, documents and presentations
  • Monitoring uptime, pricing or metrics with auto-actions
  • Running research and content tasks hands-off
  • Building customer-support bots
  • Deploying agents to messaging channels
  • Automating workflows
  • Prototyping AI assistants
  • Building AI agents and chatbots
  • Creating RAG-based knowledge apps
  • Deploying LLM apps at enterprise scale
  • Support teams automating customer service chatbots
  • Enterprises building AI voice agents for call centers
  • Agencies building white-labeled AI agents for clients
  • Conversation designers prototyping and testing dialogue flows
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