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

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