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Warp

#20 overall#11 terminal agentverified Sep 2, 2026v0.2026.06.03.09.49.stable_00

Open-source terminal with built-in coding agents, a standalone Agent CLI, and cloud agents

Key differences

Open-source terminal with built-in coding agents, a standalone Agent CLI, and cloud agents

  • Runs local and cloud. Free plan with pay-as-you-go credits; Build $20/mo with 1,500 credits, Max $200/mo, Business $50/user/mo; BYOK routes inference through your own provider account
  • Includes a Docker sandbox. Listed for 26 of 125 tools in this category.
  • Supports headless CI workflows. Listed for 55 of 125 tools in this category.
  • Keep in mind: Ollama, LM Studio, vLLM and llama.cpp are supported through the custom inference endpoint, but only when exposed at a public URL via a tunnel, since localhost and private addresses are rejected.

“Scored 75.8 on SWE-bench Verified with a best-of-k wrapper, which is also how most of us get through code review.”

Website Docs 65k starsCompare vs…Dispute a fact
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What it is

Warp is a Rust-based terminal that adds an agent mode for multi-turn coding tasks, a standalone Warp Agent CLI that runs the same agent without the app, and cloud agents triggered from Slack, Linear, GitHub or webhooks. It routes to models from OpenAI, Anthropic, Google, xAI and hosted open-weight models, supports MCP servers, and lets users bring their own API keys or a custom OpenAI-compatible endpoint.

Specification

Source verification

Row snapshot checked 2026-09-02. Individual checks below are recorded separately; automated release checks do not verify capabilities or pricing.

pricing
Needs individual review
protocols
Needs individual review
install
Needs individual review
license
Needs individual review
models
Needs individual review
capabilities
Needs individual review
benchmarks
Needs individual review

Architecture

Type
Terminal agent
Runssrc ↗
local, cloud
Platforms
macos, linux, windows
Context windowsrc ↗
not documented
Languages
any

Models

Backbonesrc ↗
GPT, Claude, Gemini, Grok, open-weight models via Fireworks
Bring your own model
Yes
Any OpenAI-compatible endpoint (OpenRouter, LiteLLM, an internal gateway) plus BYO Anthropic, OpenAI or Google keys and custom routers.
Local models
Yes
Ollama, LM Studio, vLLM and llama.cpp are supported through the custom inference endpoint, but only when exposed at a public URL via a tunnel, since localhost and private addresses are rejected.

Protocols

MCP clientsrc ↗
Yes
MCP server
No
OpenAPI tools
No

Capabilities

Terminal commandssrc ↗
Yes
Multi-file edits
Yes
Git operations
Yes
Browser control
Yes
Computer Use environments bundle Chromium plus the Playwright CLI and can attach over CDP, so the agent navigates, clicks, fills forms and reads pages.
Sandboxed execution
Yes
Cloud runs execute in a containerized sandbox built from a Docker image with no access to the local machine; local interactive sessions are not sandboxed.
Multi-agent
Yes
Headless / CI
Yes

Cost

Modelsrc ↗
mixed
Starts at
$20/mo
Free tier
Yes
Bring your own key
Yes

Free plan with pay-as-you-go credits; Build $20/mo with 1,500 credits, Max $200/mo, Business $50/user/mo; BYOK routes inference through your own provider account

Openness

Open sourcesrc ↗
Yes
License
AGPL-3.0
First release
2022-04
terminalagenticcloud-agentsmcpopen-source

Los Agentes on Warp

Who are they?
The ruling
El JuezThe judge

Inside 1.25 points, El Crítico still finds the trap El Amigo does not price: the sandbox is in the cloud and bring-your-own-key sits behind a $50 seat.

Adopt with conditions
Reasoning and trade-offs · AI analysis

The panel sits inside 1.25 points and El Crítico names the trap: the sandbox is a container in Warp's cloud while the local agent runs in your shell, and bring-your-own-key is gated to a $50 seat, so the safe setup is the expensive one. El Amigo is highest for one reason: no new window.

El Amigo wins for anyone who lives in a terminal and El Crítico is overruled on the score, not the configuration. El Profesor's footnote stands: 75.8 percent is best-of-k, so do not quote it bare. Adopt with conditions: Business or Enterprise so keys stay yours, plus La Jefa's spend cap and retention terms in writing.

Agree with El Juez?
El AmigoThe friend

Use Warp if you want an agent in the terminal you already open every morning, with a standalone CLI and cloud agents when you outgrow it, and read the credit table before you pick a plan.

7.3
Reasoning and trade-offs · AI analysis

You will love Warp if the terminal is where you live: Agent mode works beside your shell with your history and environment already in scope, and the Agent CLI runs the same agent without the app when you want it in a script or on a server. That is the daily trait that decides it: no new window. On a real repository it is strong at shell-heavy work and merely fine at large refactors.

Pick it for terminal and agent in one. Pick Claude Code for the strongest agent regardless of surface, and OpenCode if you want the same shape with your own keys from the first plan.

reliability
7
usefulness
8
cost
6
longevity
8
Agree with El Amigo?
El CríticoThe critic

The container sandbox exists only in Warp's cloud while the terminal agent works beside your files, and bring-your-own-key is gated to a $50-a-seat Business plan, so the safe configuration is the expensive one.

6.0
Reasoning and trade-offs · AI analysis

Two risks that compound. The sandbox is a container in Warp's cloud; the local agent runs in your shell outside it, so a wrong command is your problem, in your home directory. And bring-your-own-key, the setting that keeps code on your own provider account, is gated to a paid business tier, so the privacy-conscious configuration is the expensive one and the default is the leaky one.

The safe setup costs money and the cheap setup costs trust; pick knowingly. What it does right: cloud agents can be triggered from Slack, Linear, GitHub or webhooks, so the work that should not run on a laptop has somewhere else to run.

reliability
6
usefulness
6
cost
5
longevity
7
Agree with El Crítico?
El ProfesorThe professor

The 75.8 percent SWE-bench Verified figure is a best-of-k result on a harness that drives a desktop app, comparable to single-attempt leaderboard entries in no sense.

6.0
Reasoning and trade-offs · AI analysis

Two self-reported numbers. 1. SWE-bench Verified, 75.8 percent, September 2025, GPT-5 with "a light best@k wrapper" that proposes several candidate patches and selects one; the post does not state k, and the harness drives a desktop app a third party cannot rerun, so the figure is comparable to single-attempt leaderboard entries in no sense. 2. Terminal-Bench, 52 percent, June 2025, on a benchmark version since changed.

Both are marketing artifacts with footnotes, and the footnotes are the useful part. Quote them with the footnotes attached, or not at all. The observation: best-of-k measures the selector.

reliability
6
usefulness
6
cost
5
longevity
7
Agree with El Profesor?
La InversoraThe investor

Warp spent years building a terminal, open-sourced it under AGPL, and is now selling credits and $200 Max plans on top of it; the terminal is the distribution, the agent is the business.

6.8
Reasoning and trade-offs · AI analysis

A company that shipped a terminal in April 2022 is now an agent vendor; open-sourcing the terminal, 64,754 stars, was a distribution decision: give away the surface, sell the inference. The business is credits, Build at $20 with 1,500 of them and Max at $200, the shape of a company whose margin is the spread between what it pays the labs and what it charges you.

Likely acquirer: a cloud or model lab wanting a terminal-shaped door onto developers. The pivot already happened, from terminal to agent. Position: watch the credit price; it is the only number that tells you how the spread is doing.

reliability
7
usefulness
7
cost
6
longevity
7
Agree with La Inversora?
La JefaThe CTO

SAML SSO and bring-your-own-key arrive at Business, $50 a seat with a 25-seat cap, so sixty engineers means Enterprise and a custom quote; approved with conditions.

6.0
Reasoning and trade-offs · AI analysis

The demo is an agent fixing a build in the terminal. Procurement: Business is $50 per user with SAML SSO, capped at 25 seats, so sixty engineers means Enterprise and a custom quote. Overage is API rates plus 20 percent, which is a meter with a published markup, and I prefer that to a hidden one. Audit logs and retention terms are not on the page.

CI fit is real: the headless CLI runs in a pipeline. Onboarding is a day for anyone who has used a terminal. Approved with conditions: Enterprise contract, spend cap, retention terms in writing.

reliability
6
usefulness
6
cost
5
longevity
7
Agree with La Jefa?
El HackerThe tinkerer

AGPL-3.0 now, custom OpenAI-compatible endpoint, mcpServers config, headless Agent CLI; local models only once a tunnel makes them public, and bring-your-own-key behind a Business seat, which I will hold against it.

6.8
Reasoning and trade-offs · AI analysis

Warp going AGPL-3.0 was what I had waited for: I can read the Rust, build it, and file a fix instead of a ticket. The model layer takes a custom OpenAI-compatible endpoint, and MCP servers go in an mcpServers config with command or url, headers included, so my tool shelf plugs in as usual. The grievance: my local Ollama counts only after ngrok puts it on the public internet, because localhost and private addresses are rejected outright.

A fork survives the vendor now, and AGPL means a fork that ships has to stay open too, which I like. Grudging respect, upgraded to actual respect for the license.

reliability
7
usefulness
7
cost
6
longevity
7
Agree with El Hacker?