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!
daybox13 hours ago
> Never spend more than you budgeted
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?)
waqasai1233 hours ago
[flagged]
lajosdemeop12 hours ago
[dead]
[deleted]12 hours agocollapsed
basedpolymer13 hours ago
https://github.com/tw93/Mole I see a certain conflict of interest.
nusl12 hours ago
How is this a conflict of interest instead of a plain naming conflict?
themadturk7 hours ago
Yeah, we need a name change here. Mole for Mac is a very nice system maintenance app, for both terminal and GUI.
cmdrmac13 hours ago
agreed! Name change is needed.
lfx12 hours ago
DataMole? ResearchRat? DRR? (Deep Research Rat)?
bobek4 hours ago
DataMole is already in use by a company [0].
hankbond7 hours ago
> Honest numbers
I'm glad your numbers are honest! For a moment I thought, hey, maybe this person's numbers are lying to me... but it turned out they were not so thank you!
conception3 hours ago
They are honest because they load bear the seam.
recroad11 hours ago
That is a LOT of code for a pretty basic feature.
reindeer27 hours ago
[dead]