GitHub Down
Seeing:
"""
fatal: Could not read from remote repository.
Please make sure you have the correct access rights
and the repository exists.
"""
From multiple accounts across multiple orgs + repos.
Edit: there it is https://www.githubstatus.com
Comments URL: https://news.ycombinator.com/item?id=45971741
Points: 98
# Comments: 2
Tue, 18 Nov 2025, 8:41 pm
Show HN: RowboatX – open-source Claude Code for everyday automations
Claude Code is great, but it’s focused on coding. The missing piece is a native way to build and run custom background agents for non-code tasks. We built RowboatX as a CLI tool modeled after Claude Code that lets you do that. It uses the file system and unix tools to create and monitor background agents for everyday tasks, connect them to any MCP server for tools, and reason over their outputs.
Because RowboatX runs locally with shell access, the agents can install tools, execute code, and automate anything you could do in a terminal with your explicit permission. It works with any compatible LLM, including open-source ones.
Our repo is https://github.com/rowboatlabs/rowboat, and there’s a demo video here: https://youtu.be/cyPBinQzicY
For example, you can connect RowboatX to the ElevenLabs MCP server and create a background workflow that produces a NotebookLM-style podcast every day from recent AI-agent papers on arXiv. Or you can connect it to Google Calendar and Exa Search to research meeting attendees and generate briefs before each event.
You can try these with: `npx @rowboatlabs/rowboatx`
We combined three simple ideas:
1. File system as state: Each agent’s instruction, memory, logs, and data are just files on disk, grepable, diffable, and local. For instance, you can just run: grep -rl '"agent":""' ~/.rowboat/runs to list every run for a particular workflow.
2. The supervisor agent: A Claude Code style agent that can create and run background agents. It predominantly uses Unix commands to monitor, update, and schedule agents. LLMs handle Unix tools better than backend APIs [1][2], so we leaned into that. It can also probe any MCP server and attach the tools to the agents.
3. Human-in-the-loop: Each background agent can emit a human_request message when needed (e.g. drafting a tricky email or installing a tool) that pauses execution and waits for input before continuing. The supervisor coordinates this.
I started my career over a decade ago building spam detection models at Twitter, spending a lot of my time in the terminal with Unix commands for data analysis [0] and Vowpal Wabbit for modeling. When Claude Code came along, it felt familiar and amazing to work with. But trying to use it beyond code always felt a bit forced. We built RowboatX to bring that same workflow to everyday tasks. It is Apache-2.0 licensed and easily extendable.
While there are many agent builders, running on the user's terminal enables unique use cases like computer and browser automation that cloud-based tools can't match. This power requires careful safety design. We implemented command-level allow/deny lists, with containerization coming next. We’ve tried to design for safety from day one, but we’d love to hear the community’s perspective on what additional safeguards or approaches you’d consider important here.
We’re excited to share RowboatX with everyone here. We’d love to hear your thoughts and welcome contributions!
—
[0] https://web.stanford.edu/class/cs124/kwc-unix-for-poets.pdf
[1] https://arxiv.org/pdf/2405.06807
[2] https://arxiv.org/pdf/2501.10132
Comments URL: https://news.ycombinator.com/item?id=45970338
Points: 101
# Comments: 39
Tue, 18 Nov 2025, 6:50 pm
Show HN: Browser-based interactive 3D Three-Body problem simulator
Features include:
- Several preset periodic orbits: the classic Figure-8, plus newly discovered 3D solutions from Li and Liao's recent database of 10,000+ orbits (https://arxiv.org/html/2508.08568v1)
- Full 3D camera controls (rotate/pan/zoom) with body-following mode
- Force and velocity vector visualization
- Timeline scrubbing to explore the full orbital period
The 3D presets are particularly interesting. Try "O₂(1.2)" or "Piano O₆(0.6)" from the Load Presets menu to see configurations where bodies weave in and out of the orbital plane. Most browser simulators I've seen have been 2D.
Built with Three.js. Open to suggestions for additional presets or features!
Comments URL: https://news.ycombinator.com/item?id=45967079
Points: 173
# Comments: 61
Tue, 18 Nov 2025, 3:00 pm
Show HN: A subtly obvious e-paper room air monitor
In the cold season we tend to keep the windows closed. The air gets "stale": humidity often rises above 60 %, which can harm our wellbeing and promote mould. At the same time the CO₂ level in the air increases, which impacts our ability to concentrate.
So I built a room air monitor that stays unobtrusive as long as everything is in the green zone, but becomes deliberately noticeable once thresholds are exceeded. For my personal love of statistics I also visualise the measurements in a clear dashboard.
Comments URL: https://news.ycombinator.com/item?id=45962266
Points: 54
# Comments: 21
Tue, 18 Nov 2025, 7:14 am
Show HN: PrinceJS – 19,200 req/s Bun framework in 2.8 kB (built by a 13yo)
Hey HN,
I'm 13, from Nigeria, and I just released PrinceJS — the fastest web framework for Bun right now.
• 19,200 req/s (beats Hono/Elysia/Express)
• 2.8 kB gzipped
• Tree-shakable (cache, AI, email, cron, SSE, queue, test, static...)
• Zero deps. Zero config.
Built in < 1 week. No team. Just me and Bun.
Try it: `bun add princejs`
GitHub: https://github.com/MatthewTheCoder1218/princejs
Docs: https://princejs.vercel.app
Brutal feedback welcome. What's missing?
– @Lil_Prince_1218
Comments URL: https://news.ycombinator.com/item?id=45957402
Points: 133
# Comments: 65
Mon, 17 Nov 2025, 7:45 pm
Show HN: ESPectre – Motion detection based on Wi-Fi spectre analysis
Hi everyone, I'm the author of ESPectre.
This is an open-source (GPLv3) project that uses Wi-Fi signal analysis to detect motion using CSI data, and it has already garnered almost 2,000 stars in two weeks.
Key technical details:
- The system does NOT use Machine Learning, it relies purely on Math.
— Runs in real-time on a super affordable chip like the ESP32.
- It integrates seamlessly with Home Assistant via MQTT.
Comments URL: https://news.ycombinator.com/item?id=45953977
Points: 157
# Comments: 37
Mon, 17 Nov 2025, 2:40 pm