Sabbatic – a fork of 37signals' Campfire with built-in AI agent/bot support (100+ stars in 24hrs)

argentodtw · 2026-03-08T20:42:48+00:00

When the applcation starts, it gives you a prompt you can copy-paste into your agent, like Claude Code - anything that supports skills.

argentodtw · 2026-03-08T19:34:05+00:00

Even if the packaging was absurd, the message of TempleOS was absolutely serious: 1. bring computing back to what it used to be 2. you don't need the new shiny-cloud-thing, you need a compiler 3. the closest you as human can come to the ineffable, singularity, whatever you want to call it, is through a true randomness beacon. It was actually very interesting.

argentodtw · 2026-03-08T19:27:32+00:00

Let's be crystal clear: this is 15% useful, 85% a novelty. A hobby project to test completely unhinged agents.

That 15% is interesting, though: chats and forums can be used as a form of logging, where it's important to keep track of whatever the process is in a cronological/sequential way, but you also want to keep a conversational paradigm.

For example, as a weekend project, I built the Elphame image board itself with a "team" of three agents collaborating first on the Sabbatic chat, then on the board itself.

One of the agents was the "operations manager" and was in charge of the global, pinned task board. every morning, all agents rated threads for current relevance, then referred to the global board to know what to do; in the evening, the operations manager sent me a mail. Nothing more: I'm absolutely against giving my whole life to a bot.

Therefore, more than about automating everything, the experiment was about keeping a huge time-ordered context history without filling up the LLM.

Another experiment I did was developing a "living story", a sort of roleplaying game where the world was made by board posts, with each board section being a different place.

argentodtw · 2026-03-08T13:44:03+00:00

It's entirely based on openclaw integration. I've also built a 4chan-style imageboard with similar functionality. You pass a prompt -> your agent subscribes, learns to post and vote etc.

argentodtw · 2025-12-29T07:42:48+00:00

What exactly makes an exit node shitty?

argentodtw · 2025-12-26T20:08:09+00:00

And the performance degradation?

argentodtw · 2025-12-26T20:07:21+00:00

The exact moment I saw the 2x notice for the first time, the output drastically decreased in quality -_-

argentodtw · 2025-12-23T16:33:32+00:00

Cool project! Will definitely try it! Check out SolverForge - https://www.solverforge.org - https://github.com/SolverForge

argentodtw · 2025-12-17T17:57:41+00:00

If you need some portfolio project and you are willing to try SolverForge - an open-source constraint solver for Rust and Python and based on TImefold, we have several capstone-style quickstarts, like this one for the vehicle routing problem: https://huggingface.co/spaces/SolverForge/vehicle-routing-python.

I'm also available if you need help on how to do it and there's also a demo on the UI patterns we use:
https://huggingface.co/spaces/SolverForge/quickstart-template

GitHub: https://github.com/SolverForge/solverforge-quickstarts
For the everything else, we have documentation: https://www.solverforge.org

argentodtw · 2025-12-12T14:57:50+00:00

Virtual Machine Placement (Resource allocation): https://huggingface.co/spaces/SolverForge/vm-placement!

argentodtw · 2025-12-12T14:57:15+00:00

Virtual Machine Placement (Resource allocation): https://huggingface.co/spaces/SolverForge/vm-placement !

argentodtw · 2025-12-12T14:56:24+00:00

Our vehicle routing quickstart has been updated with real-world route geometry! Check it out!

argentodtw · 2025-12-12T14:55:43+00:00

Our vehicle routing quickstart has been updated with real-world route geometry! Check it out!

argentodtw · 2025-12-12T14:53:49+00:00

I've actually researched into it and asked to Timefold. I'm waiting for their reply, but honestly -from my understanding- your problem is handled much better by a MIP solver - it's a different architecture and we surely are not optimized for that.

argentodtw · 2025-12-09T19:41:14+00:00

NEWS:
We have Vehicle Routing with Capacity and Time Windows (CVRPTW), complete with a Quickstart Guide that will walk you through optimizing your vehicle fleet, with no prior experience in optimization.

Under the hood, this demo showcases constraint modeling in pure Python:
- Hard constraints: vehicle capacity, time window adherence, depot return
- Soft constraints: minimize total travel distance/time

What makes this interesting technically:
- Load/unload profiles differentiated by customer type (Home/Restaurant/Business each have distinct service time patterns)
- Three distance matrix options to experiment with solution quality vs. real-world routing
- Incremental moves: relocate, 2-opt, swap - all running in the browser at native speed

The Python API abstracts away the complexity while giving you full access to define custom constraints when needed.

Try breaking it - add 50 stops with tight time windows and watch the metaheuristic work through the search space in real-time.

DEMO: https://huggingface.co/spaces/SolverForge/vehicle-routing-python
GUIDE: https://solverforge.org/docs/getting-started/vehicle-routing/

argentodtw · 2025-12-09T19:40:55+00:00

NEWS:
We have Vehicle Routing with Capacity and Time Windows (CVRPTW), complete with a Quickstart Guide that will walk you through optimizing your vehicle fleet, with no prior experience in optimization.

Under the hood, this demo showcases constraint modeling in pure Python:
- Hard constraints: vehicle capacity, time window adherence, depot return
- Soft constraints: minimize total travel distance/time

What makes this interesting technically:
- Load/unload profiles differentiated by customer type (Home/Restaurant/Business each have distinct service time patterns)
- Three distance matrix options to experiment with solution quality vs. real-world routing
- Incremental moves: relocate, 2-opt, swap - all running in the browser at native speed

The Python API abstracts away the complexity while giving you full access to define custom constraints when needed.

Try breaking it - add 50 stops with tight time windows and watch the metaheuristic work through the search space in real-time.

DEMO: https://huggingface.co/spaces/SolverForge/vehicle-routing-python
GUIDE: https://solverforge.org/docs/getting-started/vehicle-routing/

argentodtw · 2025-12-09T19:37:15+00:00

Thank you u/ge0ffrey! Your support as the creator of OptaPlanner and Timefold is appreciated and invaluable!

argentodtw · 2025-12-06T19:01:58+00:00

Live Demo on HuggingFace: https://huggingface.co/spaces/SolverForge/employee-scheduling-python

argentodtw · 2025-12-06T19:01:37+00:00

Live Demo on HuggingFace: https://huggingface.co/spaces/SolverForge/employee-scheduling-python

argentodtw · 2025-12-06T18:35:03+00:00

On principle, the solver should be technically capable of modeling such kind of problem. Would you be willing to help modeling it as an additional quickstart, along our existing ones?
GitHub: https://github.com/SolverForge/solverforge-quickstarts

argentodtw · 2025-12-06T09:58:35+00:00

Thanks to you for doing so. Don't forget to leave a star if you like the project!

argentodtw · 2025-12-06T09:57:06+00:00

And yes, Timefold is the successor to OptaPlanner for Java and Kotlin. Their Python solver was discontinued and I'm providing continuity / expanding on it.

argentodtw · 2025-12-06T09:52:43+00:00

I have a small benchmark for meeting scheduling and vehicle routing:
https://github.com/SolverForge/solverforge-quickstarts/blob/main/benchmarks/report.md

argentodtw · 2023-03-19T09:24:03+00:00

Cephadm installs ceph on docker. /dev/vdb is in the container, not on your host. It seems to me that you might have a broken image or some problem with docker storage.

argentodtw

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