ECA vs Google Antigravity (2026)
Updated March 10, 2026
Overview
ECA (Editor Code Assistant) is a free, open-source, editor-agnostic AI coding tool that connects LLMs to code editors through a protocol inspired by LSP. It supports VS Code, Emacs, Neovim, and IntelliJ, and works with multiple model providers including OpenAI, Anthropic, GitHub Copilot, and Ollama.
Google Antigravity is Google's agentic development platform, with an agent-first IDE, a terminal CLI, and Antigravity 2.0 for running multiple coding agents in parallel.
Key features
Core capabilities each platform advertises.
- Editor-agnostic via LSP-inspired protocol
- Supports VS Code, Emacs, Neovim, IntelliJ
- Multiple LLM providers (OpenAI, Anthropic, Ollama)
- Chat, rewrite, and completion modes
- Free and open-source (Clojure)
- Agent-first IDE with an agent manager and codebase-aware context
- Antigravity 2.0 for running multiple local agents in parallel
- Terminal CLI with background subagents
- Python SDK for prototyping custom agents
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Production-ready platform
- Good performance
- Active development
- Strong features
Cons
- Enterprise pricing varies
- Setup complexity
- Learning curve required
Pros
- Free individual plan with unlimited Tab completions and Command requests
- Works across an IDE, a terminal CLI, and a standalone agent manager
- Gemini models on every plan, with Claude Sonnet 5.5 and Opus 5.5 on paid plans
- Business plans include spend caps and centralized admin controls
Cons
- Rate limits are described by tier rather than published as specific numbers
- Claude models require Google AI Pro (non-trial) or higher
- Pro and Ultra are Google One bundles, so you pay for storage and other services too
- Model choice is limited to the models Google lists for each plan
ECA or Google Antigravity — which should you choose?
Choose ECA if you wantChoose if you want
- AI pair programming in any editor
- Code rewriting and refactoring
- Multi-editor AI code completion
- Local model integration via Ollama
- Editor-agnostic AI assistant setup
Choose Google Antigravity if you wantChoose if you want
- Running several coding agents in parallel on one codebase
- Handing terminal tasks to background subagents
- Automating repetitive frontend and UX work in the browser
- Prototyping custom agents in Python
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