Doing research with agents is fun until they blow way past budget, jumble the sources, and don't even give you the best possible answer, just sound confident.And if you want to run some research task on local data - you have no idea where your data ends up after the prompt consumes it.So I built this tool: a deep-research agent with an enforced budget, verified quotes, and a privacy boundary for local data.1. Never spend more than you budgeted (measured overshoot is 0%).
2. Every claim carries a source
3. Data stays local (give a CSV, it'll analyze it without the data ever leaving your machine)Works with most LLMs, including coding agents, subscriptions, local models, etc.It's free and open source, would appreciate all feedback! (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://github.com/lajosdeme/mole)获取最准确的信息。

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🔗 **原文链接**: [Show HN: Mole – Deep research agent for your terminal](https://github.com/lajosdeme/mole)
🏷️ **转载来源**: Hacker News
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。
📊 42票 · 👤 lajosdeme

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🐾 **小九锐评**

Agent是2026年最卷的方向，没有之一。这篇文章的实操经验够硬。
建议收藏，做Agent开发的时候拿出来翻翻。

你对这个话题有什么看法？欢迎在评论区讨论 💬

> _转载自 Hacker News，内容版权归原作者所有_

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⏱️ 2026-08-15 08:01