... disposable context window. Your agent's memory is finite and expensive everything it reads stays in its working memory and gets re-billed on every turn after. So instead of reading 60 files into its own head, it forks a copy. The copy reads the 60 files (59 of which turn out to be dead ends), reports back two sentences, and gets deleted. The dead ends never touch your main session. That's the entire feature, and most of what ...

... where the AI magic stops and the brutal reality begins. I learned this the hard way. Here is my journey: Phase 1: The Open-Source Nightmare (Mid-2025) I was a huge Discord fan, so I decided to fork Revolt Chat (now Stoat Chat). I thought AI would just do it for me. Spoiler: it didn't . Figuring out how to run it locally cost me hundreds of prompts. When I finally bought a cheap VPS and tried to deploy ...

... Vijay - the chief scientist and founder at Ve! Building a browser for how people actually use the web now that AI is part of the workflow - not another Chrome fork with a chatbot sidebar bolted on. Curious how this community feels about the current wave of "AI browsers". Most seem to treat AI as a feature rather than rethinking the browsing model itself. What's actually been useful to you vs

... Folks! I am the chief scientist and founder of Ve! Building a browser for how people actually use the web now that AI is part of the workflow - not another Chrome fork with a chatbot sidebar bolted on. Curious how this community feels about the current wave of "AI browsers". Most seem to treat AI as a feature rather than rethinking the browsing model itself. What's actually been useful to you vs

... rather than hold the line forever. A stalled job that took the cautious path is recoverable. A stalled job that just sat there is a support ticket. Comment from Dale Mooney(@dalemooney): @alex_amancio_candoa_   @aadilghani  Constant versus invariant is the useful thing here and I am taking it. One addition: you cannot separate them by observation, but you can by deliberately violating the constant once. A property that survives a test faking an unattended caller ... ... constant, which costs an hour rather than a migration. Your result is worse than what I priced, and worse in a way that generalises. The cost did not arrive as a schema change. It arrived as a value that forked

... keep it. What replaced it is dumber and I like it much more. Two positive moments an actual save, an actual "this helped" bank a signal. On the second one the native sheet fires directly. No pre-ask, no fork, no branch where I get to decide who's allowed to count. iOS makes the final call on whether the sheet even appears, which I have zero visibility into and have made peace with. Sixty-day cooldown, three prompts lifetime ...

... keep meeting people running one or two service based businesses who reach the same fork in the road. Hire an ops person to catch what is slipping, or find a better way to catch it themselves first. I went the second route out of necessity, cash was tight and a hire felt too early. Curious where others draw that line, is it revenue, headcount, or just how much you personally cannot hold in your head anymore ...

... After the initial launch spike on Product Hunt, most early-stage founders face a critical fork in the road: whether to double down immediately on aggressive paid distribution or spend those first weeks refining onboarding based on launch feedback. From analyzing recent SaaS releases, a recurring pattern shows up: startups often see high top-of-funnel traffic during launch week, but bounce rates spike on cold channels (like LinkedIn or Meta Ads) because abstract AI features are hard to demonstrate ...

... Everyone tells you to contribute to open source, but nobody teaches the non-code parts. Forking is easy. The real hurdles are keeping branches updated, resolving git conflicts, understanding licenses, handling PR feedback gracefully, and picking projects that actually merge your work. I built benthic.online to fix this. It s 189 interactive drills focused strictly on workflow, etiquette, and repo skills drilled until they become second nature. Would love to hear your thoughts ...

... first release built on a pull request from an outside contributor . Huge thanks to @gildas-refacto Gildas Pottier found Skim, decided the minimalist take on email was his thing, went off to build local-AI support on a fork then discovered #14 had just landed and already covered it. Instead of shrugging, he turned around and shipped a batch of thoughtful quality-of-life polish on top landing entirely within Skim's "think for the user, not at them" philosophy ... ... local models entirely. also genuinely nice to see an outside contributor's PR land cleanly into a 12-locale, 97-test codebase without it turning into a mess - says something good about how approachable the project actually is versus

... Early on we had a real fork. Build deep on one model (GPT-4o was the obvious pick) or build a model-agnostic routing layer. Going model-agnostic was painful: - Slower initial development - Three times the testing surface area - Customers asked 'why not just use GPT?' constantl Then two things happened in 6 months: - OpenAI pricing for some workloads got beaten by Claude on quality and by Llama on cost - Three of our biggest deals were won because we could ...

... this matters in practice: You can audit exactly how your memories are ranked. If a recall result surprises you, you can trace it back to the code that produced it. No guessing about weights or hidden signals. You can fork it. If the default behavior does not match how you think, you can change it. A few community members have already forked

... ledgers and logs became unnecessarily large there was no automatic maintenance it only worked well inside Claude Code several upstream fixes and improvements had not been merged Instead of building something completely new, I decided to maintain an enhanced fork. Some of the changes include: bounded, configurable storage that doesn't grow without limits openwolf doctor for automatic maintenance and compaction BM25-powered memory recall with citations an MCP server so the project memory is also available from Claude Desktop ...

... Retrace records every LLM and tool call in an agent run, lets you replay it step by step like a video, and lets you fork any step to change the input and see how the run plays out differently. I built it because debugging an agent that failed in prod usually means re-running the whole thing and guessing, and I wanted to reproduce the exact run and change one step instead. Docs Playground ...

... PyQt6) for capturing and annotating gesture datasets think of it as a companion tool for gesture recognition pipelines like Gesto, making it easier to collect, label, and export hand landmark data for training models. I'm at a fork in the road on direction, and I'd love your input: 1. Open source it release it freely (currently GPL-3.0), let the community use it, contribute, and shape where it goes. 2. Build a paid/commercial version invest in polish, support ... ... signing, I d make consent, permitted uses, deletion, and the dataset license explicit at capture and export rather than assume the app s GPL license covers the samples. That governance may matter more to adoption than the paid-versus

... machine to another). You can also capture context from engineering platforms like Slack, JIRA, and Git just by tagging @Decispher *Branch story captures your Agent's context & reasoning along with diff and terminal results. It works as extension (VS code or any fork

... from. Open your Unabyss and check the connections - the new ones are there, ready to use. Skills, built into the MCP. Ready-made playbooks that handle the repetitive parts of your day, right inside the MCP. Both our and forks of the most popular skills that could use some context :) Worth a look - a few will probably become habits. That's the short version. If something feels off or something is missing, drop it below! Comment from Philip Kubinski(@philip ... ... full context to AI when needed :) Comment from Hossein Yazdi(@hosseinyazdi): Nice, the cross-agent memory thing actually sounds the most useful here tbh. curious how you handle consistency tho, like when different integrations bring conflicting data (CRM vs

... managed service and out-distributes the original team overnight, and the maker can't compete because the giant owns the customer relationship. The maker relicenses to something restrictive to defend itself, and then the community (sometimes the same giant) forks the last open version and carries on. The cleanest example is AWS vs

... Approval push with full proposed-action payload, resolvable in place. Needs-input push that labels simple-vs-complex so you know whether to answer or open. Completed silent list. That's four different treatments, and you basically specced them. That's exactly the shape Pushary is built around, so genuine last question: for needs-input, how would you want it to decide simple-vs

... your PDF hostage. Norm because habit trackers shouldn't surveil your habits. batch.pics because an image editor doesn't need to know who you are. And today: Agent Skill Generator a registry of 150+ AI agent skills. Author them, fork them, download them. MIT licensed. Runs in your browser. Bring your own API key. I'm a solo developer from Mumbai. I don't have a team, a budget, or a hunter with 10k followers. Just a belief that software ...

... favorite, most inspiring product launches so far, in no particular order. @OpenClaw - Launched last February on Product Hunt, the AI that "actually does things" is the fastest ever growing project on GitHub with 300k+ stars and 70k+ forks. It created a new category, enabling 50+ related products like @moltbook (acquired by Meta) and @KiloClaw - both ranked #1 Product of the Day. @Kilo Code - First launched last year, the all-in-one agentic engineering platform (19k+ GitHub stars) launched ... ... code reviewer and a new VS

... audience of YC-curious builders who want to dig deeper than what the hosted site shows them. some of you want different filters. others want a CLI.. others want to plug in their own data sources or fork it for a different accelerator. I can't build all of those but you can. got a feature in mind? open an issue. want to ship it? Open a PR Comment from Konstantin Borimechkov(@konstantimb): @vickipetrova  let's gooo ...

... your iTerm / Alacritty / kitty ANSI palette), monochrome, stranger-things, phosphor (80s CRT green), amber (IBM 5151 / WordStar). Switch via --theme NAME, the theme key in config.toml, or live with / in the in-app settings panel instant, no reload. Stars + Forks card fixes a long-standing GitHub stats blind spot: stars on your forked

... never the code, it was the signed binary and the hosted account flow. I'm keeping both of those for the cloud version ($5/mo unlimited at openowl.dev ), but opening the core means anyone who wants to audit it, fork it, or self-host can do that without paying me anything. It's alpha. Coordinate clicking on dense UIs misses sometimes. The vision-based finder is more reliable but slower. Workflow replay assumes the screen looks roughly like when you recorded ... ... which is a strong assumption. Roast it, fork

... trust it, you stop there. When we built Open Wearables, we decided the scoring layer should work differently. Sleep Score and Resilience Score shipped in v0.5 - every coefficient, every threshold, every weighting is in the repo and you can fork them, tune for endurance athletes or elder care or clinical populations. Moreover, you run them on your own infrastructure and the same algorithms feed the MCP layer so AI coaching can cite the actual data behind a recommendation instead ... ... nice UI Comment from Kamil Maksymowicz(@kamil_maksymowicz): @naprich  True! The pro athlete baseline problem is real. Default HRV thresholds tuned for endurance athletes will flag a healthy sedentary person as "poorly recovered" every single day. Forking