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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.

Claude logo
Claude
✓ verifiedFreemium

Anthropic's AI assistant for writing, coding, and analysis across web, mobile, and desktop, plus a developer API.

22M visits/mo231K saves
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
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
Paperclip - ing logo
Paperclip - ing
✓ verifiedFree

Open-source, self-hosted app to manage teams of AI agents like a company - org chart, goals, budgets and per-agent approvals.

942K visits/mo
Pricing
Free: $0
Pro: $17/month billed annually ($200 up front), or $20/month
Max: From $100/month
Team: $20/seat/month billed annually ($25 monthly); premium seats $100/seat/month annually ($125 monthly)
Enterprise: Contact sales

No public pricing

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

No public pricing

Core features
  • Conversational writing and editing
  • Code generation and debugging (Claude Code)
  • Data analysis and visualization
  • Web search plus memory across chats
  • Connectors and remote MCP integrations
  • Extended thinking for complex tasks
  • 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
  • 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
  • Manage teams of AI agents
  • Bring-your-own-agent (any runtime/provider)
  • Org chart with roles and reporting lines
  • Goal alignment for tasks
  • Per-agent budget and cost controls
  • Ticket system with full audit trail
Use cases
  • Drafting and refining written content
  • Building and debugging software
  • Analyzing datasets for insights
  • Research and learning support
  • Team and enterprise automation
  • Automate end-to-end digital tasks
  • Produce websites and presentations
  • Conduct broad research
  • Hand off browser tasks to an agent
  • Building AI agents and chatbots
  • Creating RAG-based knowledge apps
  • Deploying LLM apps at enterprise scale
  • Orchestrating agents across business functions
  • Running dev, marketing and research agents
  • Building autonomous-business workflows
  • Governing and budgeting agent work
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