正如宜博所言，团队的愿景是“渡天下，达AGI”。开源让技术没有围墙，本地化让信任没有边界。而在张倩看来，市场需要的不是更多只会写诗的AI，而是成千上万个能精准执行任务的“数字员工”。Lemon AI正在试图消弭那60%企业的价值洼地，让AGI的红利真正触达每一个组织。作者｜郭虹妘，编辑｜陶天宇）
Last May, I wrote a blog post titled As an Experienced LLM User, I Actually Don’t Use Generative LLMs Often as a contrasting response to the hype around the rising popularity of agentic coding. In that post, I noted that while LLMs are most definitely not useless and they can answer simple coding questions faster than it would take for me to write it myself with sufficient accuracy, agents are a tougher sell: they are unpredictable, expensive, and the hype around it was wildly disproportionate given the results I had seen in personal usage. However, I concluded that I was open to agents if LLMs improved enough such that all my concerns were addressed and agents were more dependable.
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（五）提供信息搜索服务的，应当采取监测发现、防范、阻断、处置违法信息传播、推广的措施；提供付费信息搜索服务的，应当依法核验客户资质，明确付费搜索信息页面比例上限，并对付费搜索信息加注显著标识；
Фото: Alina Smutko / Reuters
Lemon AI的核心方案是全栈开源+本地化部署。企业可以在自有Docker环境中调用DeepSeek V3、Kimi K2、Qwen-3等主流开源模型，数据无需上传至第三方服务器。对于金融、医疗等对数据安全极为敏感的行业，这种“不出本地”的方式更好的解决了企业担心的数据安全问题。