Warp现已开源
Warp is now open-source

原始链接: https://www.warp.dev/blog/warp-is-now-open-source

Warp现已开源,标志着软件开发向以Agent为先的工作流程转变。该项目由OpenAI主导,利用Oz Agent编排平台和GPT模型,赋能社区驱动的开发过程。 核心理念是通过将编码任务卸载给Agent来加速Warp的改进,使人类贡献者能够专注于更高层次的设计、验证和方向。这解决了当前限制开发速度的“人工参与循环”瓶颈。 此举还旨在在新兴的Agent开发环境中建立一个开放的替代方案,允许更广泛的参与者塑造其未来。随着开源的发布,Warp还推出了对开源模型(Kimi、MiniMax、Qwen)的扩展支持以及增加的定制选项,包括用于程序控制的设置文件。 源代码已在GitHub上以AGPL许可发布,邀请开发者贡献想法并监督Agent驱动的实现。最终,Warp设想一个协作生态系统,Agent和社区成员共同构建卓越的开发者体验。

## Warp 终端开源 Warp 终端应用程序已开源(warp.dev)。此举旨在与资金充足的闭源替代品竞争,并利用社区贡献加速开发。虽然 Warp 包含 AI 功能,但开发者已添加了禁用它们选项,包括无需登录即可访问的纯终端模式。 讨论围绕商业模式——可能依赖 LLM 代币费用——以及这次开源是否是最后的资金努力。一些用户表示有兴趣移除 AI 组件以创建一个轻量级终端。未来的开发包括潜在的 Ghostty 集成以及社区驱动的 tmux/zellij 支持。团队澄清他们的核心业务专注于他们的代理和编排器,而不是终端本身。 也有提及被 Frontier Lab 等公司收购的可能性。
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原文

Today we are announcing a fundamental change in how we build Warp: the Warp client is now open-source, and the community can participate in building it using an agent-first workflow managed by Oz, our cloud agent orchestration platform. OpenAI is the founding sponsor of the new, open‑source Warp repository, and the new agentic management workflows are powered by GPT models.

Open-sourcing with an agent-powered repo is our vision of how software will be built in the future. Humans managing agents at scale to build production-grade software is the model, and implementing this model in the open will allow software to improve most quickly.

Put simply: we believe that a diverse collection of contributors with unique ideas + Oz agents with structured processes + a rich corpus of context and self-improvement loops will yield a magic product, beyond what we might build internally.

Why now

The primary reason is that we think we can ship a better Warp, more quickly, if we open source and work with our community to help supervise a fleet of agents. The biggest bottleneck to development is no longer writing code – it’s all the human-in-the-loop activities around the code: speccing the product and verifying behavior, and frankly, we are limited in what our internal team can do and the pace we want to move at.

We’ve found that agents can handle the implementation heavy lifting really well. That frees contributors to focus on the higher-leverage work: shaping what gets built and making sure it’s right.

Inviting our community into the process to help manage agents will be a big unlock. We now have a lot of confidence in code that is generated by Oz with our rules, context and verification, so anyone contributing should have a high chance of success coding a feature correctly. Moreover, leaning on agents creates pressure for us to nail orchestration, memory, handoff, and all of the other parts of agentic engineering that are core to our business. There’s a virtuous loop here.

The second reason is about giving developers a chance to shape the future. There isn’t a full-featured open agentic development environment on the market and we want to offer the community an alternative to closed-source options provided by more established companies. No one knows exactly what the future of agentic development will look like and we think the community ought to be able to participate in shaping it.

Warp is multi-model and multi-harness and we want to double down on that openness. Opening will allow us to be more responsive to users, working with them on the long tail of our backlog to make Warp the best ADE on the market.

In this spirit, we are coupling a few major product improvements with this launch to make Warp more open and customizable.

  • First we are launching support for a much wider range of open source models in Warp today, including the latest models Kimi, MiniMax, and Qwen, along with a new “auto (open)” model-routed version that picks the best open model for a task.
  • Second, we’ve made it much easier to customize your Warp experience however you’d like – from just a terminal, to having some minimal features for improving agentic development like a diff view and file tree, to a full fledged ADE with built-in agents.
  • Finally, we are shipping a (long-overdue) settings file so that users and agents get programmatic control over settings and easy portability between devices.

How it works

Warp’s source code is now available at github.com/warpdotdev/warp with an AGPL license.

You can learn more about the contribution process in CONTRIBUTING.md, but the tl;dr is we want agents doing the heavy lifting (coding, planning, testing, etc.) and community members helping with ideas, direction and verification. The Warp team will help guide what gets built, when and how, but we see Warp fundamentally becoming a collaborative effort with our community. This is a cool opportunity for folks to contribute to a fast growing app that’s used by nearly a million active developers, working closely alongside the Warp team.

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