概览
主要功能
- 具有沙盒执行的自主编码代理
- 文件编辑、终端和浏览器工具使用
- GitHub 集成和拉取请求工作流程
- 可插拔的 LLM 后端（Anthropic、OpenAI、本地模型）
- 自托管或托管云部署
- 具有可扩展架构的开源代码库
价格
- 模型
- Freemium
- 分类
- 系统保存质程师
- 评分
- 4.5 / 5 (6)
使用场景
自动化拉取请求工作流程
将代理连接到 GitHub，以处理问题、实施修复和打开拉取请求，让工程师审查 AI 生成的更改，而不是从头开始编写样板代码。
自托管编码助手
在私有环境中部署开源代理，并选择您自己的 LLM 后端，为团队提供透明、可自定义的替代封闭专有编码助手。
端到端任务执行
交由多步骤开发任务，这些任务需要在沙盒环境中读取代码、编辑文件、运行终端命令和浏览文档。
实验 LLM 后端
在 Anthropic、OpenAI 或本地模型之间切换，以基准测试自主编码工作负载在真实存储库上的性能、成本和可靠性。
优点 & 缺点
优点
- 完全开源且可自我托管
- 支持多个 LLM 提供商
- 积极的社区和快速发展
- 处理端到端的编码任务，而不仅仅是建议
缺点
- 自我托管需要技术设置
- 代理可靠性因任务复杂度而异
- 运行能力模型可能很昂贵
- 仍在发展中，可能存在破坏性更改
对决战绩
在万神殿中参与了 1 对决。
Last battle
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 pluggable LLM backends (Anthropic, OpenAI, local models) — handled better than most — and supports multiple LLM providers. Still evolving with breaking changes is my one real gripe. Worth the time if this is your use case.
Does the job
Pretty happy overall. File editing, terminal, and browser tool use just works and handles end-to-end coding tasks, not just suggestions. Still evolving with breaking changes can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.
Years in this space
I've evaluated a lot of these over the years. What stands out here is pluggable LLM backends (Anthropic, OpenAI, local models) — handled better than most — and handles end-to-end coding tasks, not just suggestions. Worth the time if this is your use case.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on autonomous coding agents with sandboxed execution, and fully open-source and self-hostable caught me off guard. still, I'd recommend giving it a real trial.
Compared a few options
Evaluated this against two competitors. Where it wins: autonomous coding agents with sandboxed execution and supports multiple LLM providers. Where it lags: agent reliability varies by task complexity. On balance the feature set — especially file editing, terminal, and browser tool use — justifies the 4 stars for our use case.
Use it every day
Honestly didn't expect to like it this much. GitHub integration and pull request workflows is exactly what I needed, and supports multiple LLM providers. but I reach for it almost every day now and it just clicks.
问答
Is OpenHands secure for enterprise use?
OpenHands runs in your environment, whether on-prem or private cloud, so your code never leaves your control. Since agents operate inside secure, isolated execution environments with full auditability, it is built for organizations with strict data security, compliance, and governance requirements.
Asked by Ravi Chandrasekaran · Nov 21, 2025
What types of teams use OpenHands?
OpenHands is used by platform teams automating engineering workflows at scale, teams building internal developer platforms or AI-powered tooling, and enterprises managing large or legacy codebases and mission-critical software systems.
Asked by Marisol Pena · Nov 21, 2025
Can OpenHands work with large or legacy codebases?
Yes. OpenHands is specifically designed to handle large, complex, and legacy codebases. With its Large Codebase SDK, it maps dependencies across the system and orchestrates changes in the correct order, allowing multiple agents to safely work in parallel without conflicts.
Asked by Anya Sokolova · Oct 17, 2025
How is OpenHands different from AI coding tools like GitHub Copilot or ChatGPT?
Instead of helping you write code faster, OpenHands helps you ship changes end-to-end. Tools such as GitHub Copilot or ChatGPT generate code suggestions. OpenHands runs agents that complete entire engineering tasks, taking actions across entire codebases, running tasks in parallel, and executing changes in real environments.
Asked by Camille Laurent · Oct 3, 2025
What is OpenHands?
OpenHands is an AI agent platform for software development that can execute real engineering work, not just suggest code. It runs autonomous agents that plan, write, and apply changes across your codebase, helping teams complete complex tasks end-to-end. Built on an open source foundation, it's designed for enterprise software development at scale.
Asked by Lorenzo Bianchi · Sep 15, 2025
提问
系统保存质程师 的替代品
高智慧的调试助手，帮助开发者快速找到并修复 AI 生成的代码错误。
SwarmStack系统保存质程师产品规划、范围划定和建构建议的机器人助手
Warp AI系统保存质程师基于 AI 的终端工具，将自然语言转换为shell命令和工作流程
CopyChecker AI Reverse Image Search系统保存质程师反向图片搜索，追溯原始来源并识别重复或相似图片。
OG Pilot系统保存质程师一键生成Open Graph图片，快速高质量的链接预览
LeanSentry系统保存质程师AI powered IIS 和 ASP.NET 性能问题诊断与监控
Wrapifai系统保存质程师不需编码即可建立小众 AI 工具，吸引搜索流量并捕获潜在客户。
Plexe系统保存质程师使用自然语言.prompt生成自定义机器学习模型
