toolspool

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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.

Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

5.2K saves
Text Cortex logo
Text Cortex
✓ verifiedFreemium

Enterprise AI agent platform for building, deploying, and governing no-code agents across company knowledge and workflows.

206K visits/mo
Atoms logo
Atoms
✓ verifiedFreemium

No-code AI platform using multi-agent 'employees' to research, build, deploy and market full-stack apps from a prompt.

619K visits/mo15K saves
Lovable logo
Lovable
✓ verifiedFreemium

AI app builder that turns chat prompts into working web apps and sites, with credit-based build and deploy.

35M visits/mo69K saves
Pricing

No public pricing

Premium: $29.99/user/month

Free trial available

Free: $0/mo (15 credits/day)
Pro: from $20/mo (100 credits)
Max: from $100/mo (500 credits)

No public pricing

Core features
  • Fast tensor operations
  • Differentiable tensors for gradient-based optimization
  • Network connectivity
  • Integration with Bun and Flashlight
  • Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
  • No-code visual agent builder
  • Company knowledge search across docs and wikis
  • Scheduled and recurring agent automations
  • Model-agnostic access to major AI models
  • Browser extension integration with 30,000+ apps
  • Data analysis of spreadsheets and reports
  • Enterprise SSO/SCIM/SAML and dedicated deployment
  • Multi-agent AI team (PM, engineer, analyst, etc.)
  • Chat-to-build full-stack apps
  • Built-in backend: auth, database, Stripe
  • SEO and ads agents
  • Race Mode across multiple models
  • Code export and GitHub sync
  • Chat-to-app and website generation
  • Real-time prototype building
  • One-click deploy and hosting
  • Templates to start projects
  • Credit-based building with shared workspaces
  • You own your code and data
Use cases
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Automating recurring reports and workflow tasks
  • Searching internal company knowledge with AI agents
  • Deploying AI copilots for sales, support, or legal teams
  • Running enterprise AI with strict data governance requirements
  • Build SaaS and e-commerce apps
  • Launch MVPs in minutes
  • Add payments and user login
  • Drive SEO and ad growth
  • Export code and self-host
  • Build web apps without coding
  • Prototype product ideas quickly
  • Create landing pages and sites
  • Ship internal tools
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