Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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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
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anakin.ai
✓ verifiedFreemium
All-in-one no-code platform to build AI apps, chatbots and workflows across many models for content, images and automation.
358K visits/mo
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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
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)
Free: $0/mo (30 credits/day)
Basic: $9.90/mo (9,000 credits)
Pro: $19.90/mo (19,000 credits)
Premium: $39.90/mo (39,000 credits)
Sandbox: Free (200 message credits)
Professional: $590/workspace/year
Team: $1,590/workspace/year
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
- ✦1,000+ prebuilt AI apps
- ✦No-code AI app and chatbot builder
- ✦Access to multiple LLMs (GPT, Claude, Gemini, DeepSeek)
- ✦Workflows and automation
- ✦Batch processing over tables of records
- ✦Image, video and voice generation
- ✦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
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
- →Generating marketing and content copy
- →Building branded chatbots on your data
- →Automating repetitive document tasks
- →Bulk content generation and data labeling
- →Building AI agents and chatbots
- →Creating RAG-based knowledge apps
- →Deploying LLM apps at enterprise scale
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