Terminal agent · active
Warp
A modern terminal with local and cloud coding agents, multi-model access, team collaboration, and usage-based credits.
Visit Warp ↗Verified ·Aug 23, 2026
- Best for
- Developers who want the terminal to become the main agent surface while retaining cloud delegation and team controls.
- Avoid if
- You want an open-source terminal, purely local inference by default, or a fixed-price agent plan without credits.
01 / Editorial view
Where it fits
Strengths
- Terminal-native agent workflow
- Local and cloud agent paths
- Broad hosted and customer model routing
Limitations
- Credit consumption varies by workload
- The terminal and cloud platform are proprietary
02 / Workflow
Surfaces and capabilities
- Autocomplete
- No
- Chat
- Yes
- Agent
- Yes
- Background agent
- Yes
- Review
- Yes
- Testing
- Yes
Editors
Warp
Operating systems
macOS, Windows, Linux
Repository hosts
GitHub
Languages
Language-agnostic
Bring your own key
Yes
Bring your own model
Yes
03 / Cost and deployment
What it costs to run
Individual
Free includes limited agent and cloud access; Build starts at $20/month with credits.
Team
Business starts at $50 per user/month with team metrics and controls.
Enterprise
Custom plans add governance, analytics, shared credit terms, and customer infrastructure options.
Agent interactions consume variable credits. Cloud runs include a hosting component in credit consumption.
04 / Privacy
Data handling
- Code processing
- Warp spans a local terminal agent and Warp-hosted cloud agents; enterprise can route inference through customer infrastructure.
- Indexing
- Paid plans increase codebase indexing limits.
- Retention
- Cloud conversation retention varies by plan and configured data controls.
- Training policy
- Warp states contracted model providers use zero data retention and do not train on customer data.
- Enterprise controls
- SAML SSO, Data governance, Spend controls, Analytics API, Customer-hosted inference
05 / Evidence
Primary sources
- Warp pricing ↗Checked Aug 23, 2026pricing, classification, capabilities, models, deployment, privacy
Next