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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
Sherpa Coder logo
Sherpa Coder
✓ verifiedFree

VS Code extension letting developers chat with their own custom OpenAI assistants without leaving the editor.

Coder logo
Coder
✓ verifiedFreemium

Self-hosted cloud development environments and AI-agent governance, letting enterprises run coding agents on their own infrastructure.

208K visits/mo41 saves
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
Pricing

No public pricing

No public pricing

Community: $0 (open-source, self-hosted, unlimited workspaces)

Free trial available

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)
  • in-editor chat with OpenAI assistants
  • workspace source-code context sharing
  • support for custom, user-defined assistants
  • secure management of the user's OpenAI account
  • Self-hosted workspaces with desktop and web IDEs
  • Coder Agents run coding agents on isolated infrastructure
  • AI Governance gateway for LLM usage control
  • SSO (OpenID Connect) and role/group sync
  • Audit logging and resource quotas
  • Multi-organization access controls
  • High availability and workspace proxies
  • 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
Use cases
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • getting coding help without switching out of VS Code
  • using a personalized OpenAI assistant tuned to a project
  • quick in-editor Q&A while writing code
  • Standardize developer environments
  • Run AI coding agents securely on-prem
  • Enforce governance and compliance
  • Cut VDI costs
  • Speed up developer onboarding
  • Building apps with AI agents
  • Automating multi-step coding tasks
  • Prototyping and iterating on software
  • Assisting developers on complex work
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