
概览
主要功能
- 基于插件的工具系统
- LLM 提供商抽象层
- 核心查询引擎
- 权限控制的工具系统
- 多代理编排
- 高性能 Rust 运行时
价格
- 模型
- Free
- 分类
- 编码代理
- 评分
- 4.2 / 5 (6)
使用场景
在本地运行 AI 编程代理
使用命令行工具在本地开发者工作流中调用 AI 编程代理,无需依赖专有的基于云的工具。
Claude Code 的开源替代品
对于需要开源编码代理的团队或个人来说,这是一种对 Claude Code 的重构,他们可以检查和修改该代理。
构建自定义编码代理工作流
利用该框架扩展或集成 AI 编程代理功能到自定义开发者工具和管道中。
实验代理内部机制
研究和修改开源代码库,以了解 AI 编程代理的结构,并 prototype 新的代理行为。
优点 & 缺点
优点
- 开源且完全透明
- Rust 和 Python 的模块化架构
- 具有权限控制工具的强大工具系统
- 用于并行化复杂任务的多代理编排
- 具有提供商无关设计的 configurable 查询引擎
缺点
- 仍然是一个相对较新的项目
- 可能在其初始发布版本中存在限制
- 由于其自定义架构而具有更陡峭的学习曲线
评测
6 个评分的平均值。
登录以留下评测。
Years in this space
I've evaluated a lot of these over the years. What stands out here is the core workflow — handled better than most — and it saves real time. The docs could be deeper is my one real gripe. Worth the time if this is your use case.
Use it every day
Honestly didn't expect to like it this much. The API is exactly what I needed, and the value for money is strong. I do wish a few rough edges remain, but I reach for it almost every day now and it just clicks.
Solid for our team
We rolled this out across the team last quarter and support is responsive. The integrations fits neatly into how we already work, and the automation removed a step we used to do by hand. but it has held up under daily use.
Solid for our team
We rolled this out across the team last quarter and it is genuinely easy to set up. The dashboard fits neatly into how we already work, and the API removed a step we used to do by hand. The docs could be deeper, which is the main caveat, but it has held up under daily use.
Use it every day
Honestly didn't expect to like it this much. The dashboard is exactly what I needed, and it saves real time. I do wish the mobile experience lags, but I reach for it almost every day now and it just clicks.
Does the job
Pretty happy overall. The core workflow just works and the value for money is strong. A few rough edges remain can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.
问答
Is Claw Code safe to use?
Claw Code itself is open source and auditable. However, users should exercise caution with the broader ecosystem: a supply-chain attack on March 31, 2026 affected npm-based Claude Code installations. Always install from official sources, verify dependency integrity, and review lockfiles for unauthorized packages.
Asked by Elif Yildiz · Mar 13, 2026
Who created Claw Code?
Claw Code was created by Sigrid Jin (@sigridjineth), a developer profiled by the Wall Street Journal as one of the world's most active Claude Code users, having processed over 25 billion tokens. The project is maintained under the instructkr organization on GitHub and welcomes community contributions.
Asked by Dalia Haddad · Feb 28, 2026
What languages and technologies does Claw Code use?
The codebase is composed of Rust (72.9%) and Python (27.1%). Python handles the agent orchestration layer, command parsing, and LLM integration. Rust implements performance-critical runtime paths, with an active migration branch targeting a fully native runtime for maximum performance and memory safety.
Asked by Adaeze Uche · Feb 23, 2026
Does Claw Code contain Anthropic's proprietary code or model weights?
No. Claw Code is a clean-room implementation written entirely from scratch. Independent code audits confirm that the project contains no Anthropic proprietary source code, no model weights, no API keys, and no user data. The implementation is architecturally informed but legally independent.
Asked by Nikolai Petrenko · Jan 28, 2026
What is Claw Code?
Claw Code is an open-source AI coding agent framework built in Python and Rust. It is a clean-room rewrite of the Claude Code agent harness architecture, featuring multi-agent orchestration, a plugin-based tool system, memory management, and terminal-native AI development workflows.
Asked by Aaliyah Johnson · Jan 22, 2026
提问
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DeepSite
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