
概览
价格
- 模型
- Free
- 评分
- 4.6 / 5 (5)
使用场景
团队私有 AI 助手
在组织内部部署自主托管助手,每个用户永久性记忆,数据都在内部基础设施上存储。
自动任务调度
使用内置的调度功能,跨用户再次调度 AI 任务、提醒或工作流程,无外部服务依赖。
安全工具增强流程
通过安全工具使用连接助手到内部工具,使得按照用户授权的操作,如查询或集成.
多通道聊天机器人
提供同一助手在多个通讯载体上提供服务,为用户一致的 AI体验
评测
5 个评分的平均值。
登录以留下评测。
Solid for our team
We rolled this out across the team last quarter and it is genuinely easy to set up. The API fits neatly into how we already work, and the onboarding removed a step we used to do by hand. Pricing gets steep at scale, 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 API is exactly what I needed, and support is responsive. I do wish pricing gets steep at scale, but I reach for it almost every day now and it just clicks.
Years in this space
I've evaluated a lot of these over the years. What stands out here is the automation — handled better than most — and support is responsive. Worth the time if this is your use case.
Solid for our team
We rolled this out across the team last quarter and it is genuinely easy to set up. The integrations fits neatly into how we already work, and the onboarding removed a step we used to do by hand. A few rough edges remain, which is the main caveat, but it has held up under daily use.
Does the job
Pretty happy overall. The automation just works and it is genuinely easy to set up. but no dealbreakers — I'd recommend it to a friend without hesitating.
问答
Can OpenLobster be self-hosted, and is it really open-source?
Yes. OpenLobster is an open-source AI assistant designed to be self-hosted, giving you full control over deployment and data rather than relying on a vendor-hosted SaaS.
What can I use OpenLobster for beyond basic chat?
It supports secure tool use, scheduling tasks, and multi-channel access, making it suitable for use cases like automated workflows, reminders, and integrating the assistant across different communication channels.
Does it support multiple users, and how does it handle memory between them?
OpenLobster offers multi-user support with per-user memory, so each user gets their own context and history while sharing the same self-hosted assistant instance.
提问
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