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Show HN: Mole – Deep research agent for your terminal
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!
daybox
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I assume that this is "$ spent on search + $ spent on LLM" < budget, but how do you handle the LLM spending more than you would expect on a request? Or is this handled by max_tokens and some form of pricing table? (and if so, how does caching play a role?)