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Category
AI Agents
Rank
No. 1955Tools index

Previous survey · No. 1966 ·

Pricing
Open Source
Type
TOOL
Builder
warpdotdev
GitHub
73 stars
Date

About

Predefined dev environments for running Oz Cloud Agents and integrations from Warp.

What it does

A family of Debian-based container images supplies repeatable language toolchains for cloud agent jobs. You choose a focused stack or an all-in-one image, then attach repositories, setup commands, secrets, and runtime settings through Oz. Optional variants bundle several third-party coding agent command-line tools.

Why it's ranked here

This is a practical shortcut for teams already committed to Oz. The image matrix covers common language stacks, browsers, Docker client tooling, and two major Linux architectures. Its narrow scope is also clear: it standardizes containers, while Oz handles repositories, triggers, schedules, integrations, and orchestration.

What's good

Every image includes Node, Python, Git, curl, compiler tools, certificates, and Docker client utilities. Focused variants add Bun, Go, Rust, Java, .NET, Ruby, or browsers. Agent variants preinstall Claude Code, Codex, Gemini, and GitHub command-line tools. Published builds include software bills of materials and provenance.

Tradeoffs

The images contain Docker clients, Compose, and Buildx, but no Docker daemon. Third-party agent credentials must arrive through environment variables, preferably Oz secrets. Documentation and build configuration also disagree in places: the base image is described with Node 22, while its workflow inherits Node 24. The browser image installs Chromium behind a Google Chrome command alias.

How to use it well

Pick it when Oz jobs repeatedly need the same mainstream toolchain across command-line runs, integrations, schedules, and API calls. Reuse one environment per codebase, choose focused tags to limit image size, and reserve agent variants for alternate harnesses. It does not define the complete execution context or supply a Docker daemon.

Technical notes+

Dockerfile uses debian:trixie-slim, always installs Node, Python, uv, Git, build tools, certificates, and optional Docker client binaries, then gates language runtimes, browsers, and coding agents behind INSTALL_* build arguments. .github/workflows/build-images.yml builds a matrix of base, language, web, and full images, publishes regular and -agents tags to Docker Hub, targets linux/amd64 and linux/arm64 where specified, and enables SBOM plus maximum provenance. README.md documents Oz CLI, web app, API and SDK usage, integrations, schedules, secrets, custom images, and image extension. One notable mismatch is that README.md describes dev-base as Node 22, while the base workflow does not override the Dockerfile's Node 24 default.

Observed

Packaging
Prebuilt Docker images published under the warpdotdev namespace on Docker Hub
Platform support
Build matrix targets Linux amd64 and Linux arm64 for the documented image families
Install surface
Images are selected by Docker image tag when creating an Oz environment
Interfaces
Environments can be used through the Oz CLI, Oz web app, Agent API and SDK
Base system
Images derive from Debian trixie slim
Build metadata
Published workflow builds enable SBOM generation and maximum provenance
Docker capability
Docker CLI, Compose v2, standalone Compose, and Buildx are included without a daemon

Read from README.md, Dockerfile, .github/workflows/build-images.yml.

What it can do

  • Create predefined development environments

    Configuration specificationsReady-to-use development environment

  • Run Oz Cloud Agents

    Agent code and dependenciesExecuting cloud agent instances

  • Execute Warp integrations

    Integration configurations and codeRunning integration processes

  • Provision cloud-based development workspace

    Environment requirementsConfigured cloud development environment

  • Deploy agent-based applications

    Agent application codeDeployed and running applications

Tags

warpcloud-agentsdev-environmentsdocker

Tech Stack

Docker

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Editorially curated, with community endorsements as a secondary signal. Corrections welcome.