概览
主要功能
- 创建自定义AI代理
- 多供应商支持
- 插件和扩展生态系统
- 可分享的助手市场
- 自有部署选项
- 对话和提示管理
价格
- 模型
- Freemium
- 分类
- 王常服务
- 评分
- 4.6 / 5 (5)
使用场景
为团队工作流程创建定制AI助手
开发人员可以创建和配置专门为内部工作流程设计的AI代理，连接他们的偏好LLM供应商并扩展功能性使用插件。
通过控制数据隐私自主部署AI
关心数据主权的组织可以在他们自己的基础设施上部署LobeHub，保持会话、模型选择和部署环境的全部控制权。
发现并分享预建代理
用户可以浏览社区市场部署准备就绪的助手来完成各种任务，或者发布他们的配置来与他人分享。
在一个接口中测试和比较多个LLM供应商
专业用户可以在一个接口中测试和比较来自不同大的语言模型的响应，随后基于成本、质量或用例切换供应商。
优点 & 缺点
优点
- 开源和自有部署
- 支持多个LLM供应商
- 积极的社区和代理市场
- 高度定制化助手
- 插件系统用于扩展功能
缺点
- 需要技术设置来自有部署
- 社区代理质量参差不齐
- 高级配置需要学习曲线
评测
5 个评分的平均值。
登录以留下评测。
Compared a few options
Evaluated this against two competitors. Where it wins: self-hosted deployment option and open-source and self-hostable. Where it lags: learning curve for advanced configuration. On balance the feature set — especially conversation and prompt management — justifies the 4 stars for our use case.
Solid for our team
We rolled this out across the team last quarter and supports multiple LLM providers. Multi-model provider support fits neatly into how we already work, and multi-model provider support removed a step we used to do by hand. Requires technical setup for self-hosting, which is the main caveat, but it has held up under daily use.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on custom AI agent creation, and plugin system for extended functionality 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: self-hosted deployment option and plugin system for extended functionality. Where it lags: quality of community agents varies. On balance the feature set — especially multi-model provider support — justifies the 5 stars for our use case.
Years in this space
I've evaluated a lot of these over the years. What stands out here is multi-model provider support — handled better than most — and open-source and self-hostable. Requires technical setup for self-hosting is my one real gripe. Worth the time if this is your use case.
问答
Can LobeHub be used for free?
LobeHub always adheres to the open-source concept. For professional developers, you can use all open-source capabilities through self-deploying the community edition. In the LobeHub Cloud version, we provide 500,000 free calculating credits for all registered users every month, ready to use without complex configurations. If you need more usage, you can subscribe to Starter, Premium, or Ultimate.
Asked by Jovana Petrovic · Jun 24, 2026
What are calculating credits?
Calculating credits is a metric used to measure the usage of AI models when LobeHub Cloud. The credit consumption varies for different AI models.
Asked by Fatima Zahra · Jun 8, 2026
What to do if calculating credits are insufficient?
The LobeHub Cloud subscription plans are divided into Starter, Premium, and Ultimate, each providing different amounts of calculating credits. If the current plan's calculating credits are insufficient, we recommend considering upgrading the plan. Additionally, you can set up custom model API keys to use API usage purchased from other channels.
Asked by Boris Yankov · Jun 6, 2026
How to change or cancel a subscription plan?
On the Subscribe page, you can 'upgrade/downgrade' the current subscription plan and switch between annual or monthly billing. By clicking 'Usage Statistics-Manage Subscription', you can go to Stripe for subscription management and cancel the current subscription at any time. After unsubscribing, it will automatically downgrade to the free version when the current plan expires.
Asked by Mireille Dupont · Apr 5, 2026
Will the points be reset monthly?
Yes, the points will be reset monthly. After purchasing a subscription, points will be added immediately upon upgrade and will increase monthly. The points will reset at the end of each billing cycle.
Asked by Wolfgang Krause · Mar 30, 2026
提问
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