Can Rowboat do this? If not, does anybody know a harness that can?

I’ve spent a ridiculous amount of time building my wiki, feature plans, retrospectives, client overviews, meta overview, log, skills, commands and the barrier to trying a new command surface or agent is always “will I maintain my edge”.

Or am I misunderstanding? Is it that I would just spawn windows to that existing harness and get to harvest additive features/data from rowboat on top?

Edit - my typical approach would be to scrape out features from a tool like this to bolt onto my harness, why would I not do that here?

My question is, can I interact with it over mobile? If I'm away from the desktop, and I want to check-in with it (query the .knowledge, or trigger some coding task etc), is there that option?

All of them take my notes, meeting transcripts, jira tickets, code, websites, and give me more to read.

Then everyone else in the org is doing the same, to give me more to read. At the end of the day there is too much to read.

AI is supposed to be reducing toil, but it's just making more.

1. cd <myVeryImportantProject.repo> 2. start_AI_agent_REPL 3. "hey AI, analyze the code base in this repo, and find any and all bugs related to 'e.g. porting from 32bit -> 64bit architecture', create work branches for the bug fixes, submit a PR at the repo site for each fix" 4. Goto 3.

I want to be able to treat my AI/ML assistant as a daemon I can turn on and off for any repo - I do not want it to be running all the time, I don't want an email interface to it, I don't want it to analyze my system to try to help me, I want it to be treated like any other system service I will enable and disable, per-directory, manually.

Everything else - the desktop app, the in-built browser, the Obsidian note-taking system - is pure noise, and it immediately disqualifies Rowboat from any investment on my part.

Just a simple daemon style approach, with a REPL, an interface to Git, and THAT IS ALL.

There will be a time and place for a whole new radical UI to AI/ML in my personal laboratory - that time is when I get a brand new machine dedicated just to AI/ML and only put things on it that I want to put on it. Not my personal machine, not my development machine - a machine that will only function as a junior AI/ML-based software developer in my team, with an interface to Git that is standard and battle-tested over years and years of actual work - and nothing else.

I know this tool is out there. I continue to swim through the junk to find it, however.

Rowboat is instantly disqualified from my environment by bringing in too many bells and whistles - all of it junk, because I will have to learn to manage it all anew, and that is not what I want in an AI/ML agent.

Anything which detracts from having AI/ML sandboxed as a daemon and its only interface through the current .git/config for the repo I'm applying it to, is noise and nonsense.

What I actually ended up doing was regularly pointing Claude at the Rowboat directory. Really useful to have all of this context available as markdown files.

I use my own standard format for all context capsules, and had my own branch running with that format hacked in.

Being able to describe the format in a plugin style architecture would be awesome.

Granola notes silently stopped working when they decided to encrypt the DB, interesting to see you've got your own in there now.

Will check it out again.

Really love the whole idea and I hope it gets more usable.

The "Agent Apps" (or whatever we are calling them) from the big vendors are organized around projects/folders, and we attach apps (via plugins) to the projects.

This appears to mae the apps (work surfaces) the primary artifact?

Is there a way to control the isolation myself, e.g. let it run code only in some VM that I provide?

Edit: is there a sandbox for code?

My aim is to build a truly local app using only tiny/small models. I have had really good results from Qwen 3.5 1B, 4B, etc. Also, Gliner or similar models for different uses. SQLite + sqlite-vec + Tantivy + a tiny embedding model will stay as my go to.

In my case, coding agent is a separate product. I have https://github.com/brainless/nocodo for that. nocodo is also built for tiny/small models from the ground up. And recently I started building a wGPU based UI framework to build both these apps as native UI apps in Rust: https://github.com/brainless/akar. I also want e2e encrypted team/family sharing in my products.

Thank you for the inspiration. Would love to share notes and follow your progress.

Any plans for a more opinionated way to handle memory ( but still within user's control )?

edit: syntax

2. Doesn't support generic IMAP email.

3. Doesn't accept my STT.

4. Doesn't accept my TTS.

5. Doesn't accept my SearxNG/custom search engine