AI editors and workbenches · Checked Aug 23, 2026
Cursor vs. Antigravity
Choose Cursor for an established completion-and-agent editor loop; choose Antigravity when Google-centered multi-agent supervision is more important than a mature editor ecosystem.
By Ros · No universal winner · No paid ranking · Unknown stays unknown
01 / Verified matrix
The working difference
| Criterion | Cursor | Antigravity |
|---|---|---|
| Primary role | ai-native-editor | orchestrator-workbench |
| Surfaces | Desktop editor, Web | Desktop editor, Desktop app, Terminal |
| Autonomy | Background agent work | Background agent work |
| Model strategy | Frontier + Cursor models | Gemini plus selected third-party frontier models |
| Deployment | Local + cloud | Local + cloud |
| Starting point | $20/mo Pro | Baseline individual access |
| Billing basis | Subscription + usage | Subscription + usage |
| Code processing | Cloud model processing; cloud agents run remotely. | The local editor and CLI use Google-hosted agent and model services; tool execution is governed by local sandbox and permission settings. |
| Self-hosted | No | No |
| Open source | No | No |
| Lifecycle | Active | Active |
| Last verified | Aug 31, 2026 | Aug 31, 2026 |
02 / Workflow fit
Choose by constraint
Daily editor and completion
CursorCursor integrates completion, interactive editing, background agents, and review in one established desktop surface.
Read profile →Google multi-agent workbench
AntigravityAntigravity is organized around parallel agents across its desktop editor and CLI rather than completion alone.
Read profile →03 / Composition
Using both
Both can occupy the editor layer, so using both usually makes sense only for a bounded trial or when a team deliberately separates day-to-day editing from parallel agent supervision.
04 / Switching
Migration cost
Repository content stays portable, while editor settings, indexing behavior, agent instructions, permissions, and provider accounts require deliberate migration.
Choose the operating model
Cursor’s advantage is a unified editor loop that serves completion-heavy and agent-heavy work. Antigravity’s advantage is an environment explicitly shaped around supervising multiple Google-centered agents.
Trial design
Run one interactive edit and one parallel task set. Record how each product isolates work, surfaces agent state, requests approval, and brings results back for review. A team that rarely runs concurrent work should not pay an orchestration tax merely because the feature exists.
05 / Evidence
Primary sources
- Cursor pricing ↗Checked Jul 31, 2026
- Antigravity CLI product page ↗Checked Jul 31, 2026
- Antigravity plans ↗Checked Jul 31, 2026