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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
Google Antigravity logo
Google Antigravity
✓ verifiedFree

Google's agentic development platform and IDE for building software with autonomous, Gemini-powered coding agents.

22M visits/mo18K saves
Polsia logo
Polsia
✓ verified

Claims a fully autonomous AI system that runs companies 24/7; overreaching pitch, thin proof.

1.4M visits/mo
Dust logo
Dust
✓ verifiedFree

AI assistant for teams with secure LLM and company-knowledge access.

692K 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
Sandbox: Free (200 message credits)
Professional: $590/workspace/year
Team: $1,590/workspace/year

No public pricing

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
  • Agent-first IDE experience
  • Autonomous planning and code execution
  • Integrated editor, terminal and browser control
  • Powered by Google's Gemini models
  • High-level developer supervision
  • Autonomous planning, coding, and marketing
  • 24/7 continuous business operations
  • Third-party tool integrations (Email, Social, Payments)
  • Self-adapting and data-driven optimization
  • Founder inbox management and VC negotiation
  • Live dashboard for real-time task tracking
  • Unified and safe access to GPT-4
  • Connection to team's data for up-to-date answers
  • Customizable AI agent building without code
  • Team collaboration features for sharing prompts and conversations
  • Suggestions for documentation updates and improvements
  • 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
  • Building AI agents and chatbots
  • Creating RAG-based knowledge apps
  • Deploying LLM apps at enterprise scale
  • Building apps with AI agents
  • Automating multi-step coding tasks
  • Prototyping and iterating on software
  • Assisting developers on complex work
  • Building and launching a startup with zero human staff
  • Automating multi-channel marketing and content promotion
  • Maintaining and updating software products on autopilot
  • Managing investor relations and daily business workflows autonomously
  • RevOps & Sales: Create customer profiles, flag at-risk deals, analyze calls, generate SQL.
  • PMM & Marketing: Write on-brand content, create consistent messaging, translate content, extract insights.
  • Customer Support: Connect to knowledge base, identify product improvements, auto-create FAQs, provide real-time guidance.
  • Product & Design: Improve product copy, analyze customer sentiment, extract competitor insights, generate user stories.
  • Engineering: Review code, auto-create docs, compile incident timelines, generate SQL.
  • Data & Analytics: Enable non-technical teams to query data, automate reporting, transform insights, connect data sources.
  • Orchestrating agents across business functions
  • Running dev, marketing and research agents
  • Building autonomous-business workflows
  • Governing and budgeting agent work
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