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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.

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
Manus logo
Manus
✓ verifiedFreemium

General-purpose autonomous AI agent that plans and runs multi-step tasks such as building sites, slides and research in the cloud.

28M visits/mo89K saves
Reka Core logo
Reka Core
✓ verifiedPaid

AI research lab building multimodal 'omni' foundation models and infrastructure aimed at robotics and physical-world applications.

252K visits/mo
Jan.ai logo
Jan.ai
✓ verifiedFree

Open-source desktop app for running AI chat models locally or via APIs, as a private ChatGPT alternative.

378K visits/mo609 saves
Pricing
Sandbox: Free (200 message credits)
Professional: $590/workspace/year
Team: $1,590/workspace/year

No public pricing

No public pricing

No public pricing

Core features
  • 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
  • Autonomous multi-step task execution
  • Website and app building
  • AI slides, design and image generation
  • Manus browser operator
  • Wide Research mode
  • Cross-platform web, desktop and mobile apps
  • Omni multimodal model research and development
  • Real-time inference API (Infer) for enterprise use
  • Video tagging, search, and clipping infrastructure
  • Training data generation from egocentric and robotics footage
  • Run open-source LLMs locally
  • Connect to online models (OpenAI, Claude, Gemini)
  • Private, offline-capable AI chat
  • Open source and self-hostable
  • Model library via Hugging Face
  • Cross-platform desktop app
Use cases
  • Building AI agents and chatbots
  • Creating RAG-based knowledge apps
  • Deploying LLM apps at enterprise scale
  • Automate end-to-end digital tasks
  • Produce websites and presentations
  • Conduct broad research
  • Hand off browser tasks to an agent
  • Powering robotics perception with multimodal AI
  • Running large-scale video search and analysis via API
  • Sourcing specialized training data for frontier AI models
  • Private local AI chat
  • Using multiple models in one app
  • Avoiding cloud data sharing
  • Experimenting with open models
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