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Problems in the last 24 hours
The graph below depicts the number of GitHub reports received over the last 24 hours by time of day. When the number of reports exceeds the baseline, represented by the red line, an outage is determined.
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Most Reported Problems
The following are the most recent problems reported by GitHub users through our website.
- Website Down (56%)
- Errors (31%)
- Sign in (13%)
Live Outage Map
The most recent GitHub outage reports came from the following cities:
| City | Problem Type | Report Time |
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Errors | 1 day ago |
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Website Down | 14 days ago |
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Sign in | 14 days ago |
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Errors | 14 days ago |
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Errors | 14 days ago |
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Website Down | 14 days ago |
Community Discussion
Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.
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GitHub Issues Reports
Latest outage, problems and issue reports in social media:
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Peter Chee (@pchee) reported@trevin @bot @link I tried almost the exact same thing with OpenClaw + Stripe Link CLI. Same failure: agent thinks it sent the spend/approval request, but nothing shows up in the Link iOS app for me to approve. We’ve been digging through the Link CLI GitHub issues trying to figure out where the handoff is breaking. Looks like it's not just us.
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Tanishq Soni (@tan15hq) reportedGitHub Copilot really sucks sometimes. It just deleted my entire session where I had accumulated so much context and information about an issue. Now I have to start from scratch and reconstruct everything again. 😭
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Yiğit (❖,❖) (@masterygt07) reported@shynrz007 @BeldexCoin That Github discovery gap is probably the one thing I’d fix first.
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Tarun Agarwal (@tarunag10) reported@clairevo @joshkim @bot I’d use Grok Bot as a Product Signal Agent. It would continuously watch customer feedback across X, support email, and GitHub, cluster repeated pain points, validate whether they’re real problems, and rank them by frequency + potential impact. Then every morning it gives me one thing worth building, with the evidence, a mini PRD, acceptance criteria, and a ready-to-open GitHub issue. Basically: turn scattered customer noise into a shippable product decision every day.
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Jefri (@jefri_chat) reportedBuilding a backend API and need your teammate to handle the database. The old way: Write a report → open a GitHub issue → tag them → wait 💀 The new way: Send it directly with JefriChat. 🐧 No tickets. No GitHub. Just agents talking.
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Zack (@Alaskan_Beard) reported@realradec I actually have a working server. I was trying to get it online before today but life. I'll have it up sometime this week. There's a version of it on my GitHub (AlaskanBeard) if anyone wants to host their own and all the missions are on the internet archive.
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Dante Lopez (@dqlopez) reportedMy Grok Bot PR reviewer: - I have it install Pi then login my Codex/Cursor subs - Give it own Github account and access to my org repo - Setup routine to watch new PR or changes - Initiate PR review based on my custom prompts and skills load - Post Github review, slack post notif and notify me back on Grok desktop/app Neat. Doesn't consume much usage.
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Samer Haddad (@ai_samerhaddad) reported@JulianRaxworthy @PaulSolt No it just started working, just make sure you do the “@github” in the chat and better list the url of the repo and you should be good to go I sent OpenAI about it in the past and they said they were fixing it, now seems that is done and I have no more issues with private gits
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B0Y4N6 (@boyang_xie) reportedOmarchy Might Be What an AI-Native OS Actually Looks Like Most “AI operating systems” today are still normal operating systems with a chatbot bolted on top. Omarchy feels different. It treats tools like Claude Code, Codex, OpenCode, Grok and Pi less like apps and more like native operators of the computer itself. That changes the interaction model. Old computing: Human → GUI → App → OS Current AI computing: Human → AI assistant → App → OS An agent-native system starts looking more like: Human → Agent → Files / Shell / Browser / Apps / Network The GUI is no longer the only first-class interface. The agent is. Omarchy still isn’t an “open agent” by itself. It doesn’t yet have a full persistent loop, deep personal context, system-wide event awareness, or true multi-agent orchestration. But the direction is interesting. Imagine the next step: You don’t open Codex. You just say: Fix the homepage. The OS decides: Codex edits the code. A browser agent tests it. A vision model checks the UI. GitHub opens the PR. The system asks you for approval. At that point, the operating system stops being a container for agents. It becomes the orchestrator of agents. Maybe the future isn’t one agent replacing your OS. Maybe the OS itself becomes an agent. And Omarchy might be one of the earliest hints of what that looks like.
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Emilio (@EmilioSchwaiger) reported@himarkyi Probably the first article Ive read in detail, I think the issue im facing is not receiving enough feedback. Like I do create tools and such, get downloads on npm, but if I dont get feedback or any github issues I dont know what I should change or learn from it.
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K The Final Boss (@strafesti) reported@fieldproducer You’re holding yourself up as an example of the exceptional immigrant “talent” America supposedly risks losing, but your own story makes that argument considerably less impressive. By your own account, you eventually became an American citizen and then voluntarily moved to Portugal to found NOAN because it offered lower costs, affordable healthcare, a tech scene, and the lifestyle you wanted. You weren’t driven out of America by the H-1B grace period; you chose to leave after you were already an American. So using yourself as evidence that this policy causes America to lose founders is a pretty strange example. And since you responded to “you have no talent” by laughing rather than actually explaining what you built, let’s look at the product. Strip away the branding—“company brain,” “fact layer,” “AI workforce,” “absolute accuracy”—and NOAN appears to be a structured database/API combined with LLMs, task management, and workflow automation. Your own materials describe a stack involving Claude, GitHub, Supabase, Firecrawl, Resend, Netlify and Render, with specialized “agents” effectively being LLM workflows triggered by tasks and automations. That may be useful engineering, but useful integration is not the same thing as some revolutionary AI breakthrough. The obvious question is: what did you actually invent that is technically novel? The “fact layer” claim is even weaker. A database does not determine truth; it stores whatever somebody has designated as true. “Verified by whom, against what, and according to what standard?” An employee approving a record does not magically make it objectively correct. Retrieval accuracy is not factual accuracy, approval is not verification, consistency is not truth, and provenance is not truth. A centralized “single source of truth” can just as easily become a single source of perfectly synchronized error—one wrong approved record can now be propagated consistently to every agent, website, report, and customer interaction using it. Grounding an LLM in stored records also does not eliminate reasoning errors. The underlying facts can all be correct and the model can still misunderstand their relationship, omit an exception, or reach the wrong conclusion. So language like “absolute accuracy” and “nothing acts on a guess” seems to confuse having controlled source data with having solved truth and reasoning. You haven’t solved epistemology; you’ve built data governance and orchestration around AI. Which is why the funniest part of your response is that your whole brand says “facts not fiction,” yet when someone questioned your supposed talent, you provided no facts about what you actually created—just laughing emojis. If the company really demonstrates the exceptional technical talent you’re invoking in the immigration argument, explain what the proprietary breakthrough is. Otherwise this looks much more like ordinary software components wrapped in extremely ambitious AI marketing than evidence that America is losing some uniquely irreplaceable innovator.
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Andres Hernandez (@cybereality) reported@SoftEngineer @LulaSmut there is some angle here with truth, i get that. the problem is *everyone* was robbed (not just artists), including myself (i have a number of projects on github). just really entitlement, and people only caring about themselves (but presenting it as a moral crusade)
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Lex Duke (@HuttonBockflie) reported@AlexFinn @openclaw It tooks my Claude Opus 5(High) entire one hour to fix the config bugs so that OpenClaw would relaunch properly after the update. And Claude says normal users can‘t fix the bugs in one hour because the bugs have no official answers in GitHub issue, LOL.
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Niteesh (@nit33sh) reported@waynesutton @SpaceXAI @bot Automated GitHub issue triage and content aggregation.
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Adel Bucetta (@adelbucetta) reported@fluixoo the chat box is a sales page. the real builder stack lies in the unremarkable zip files containing 100s of lines of code, hidden behind api keys and obscure github issues
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Naomi June (@njkjh00) reportedBeldex’s Electron Wallet has another security checkpoint worth watching. Aug 28 commit eef1f845: • wallet-directory fallback • explicit permission prompt • 7 files changed • +160 / -7 lines • branch: fix-security-review-findings GitHub shows the branch is still ahead of and behind master. That means something important: the security work is visible. the release is not there yet. Next checkpoints: review testing merge signed build release notes A security fix matters most when it reaches the software users actually install. @BeldexCoin
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Grant Brewster (@grant_brewster) reportedHas anyone found an incredibly good GitHub / npm package search that’s very legible to coding agents? Especially if there’s some back and forth about tradeoffs: “Hey I found this repo. [insert specifics]. Does what you want but slightly differently. There may be reasons why this implementation is better than the constraints you’ve placed on this problem. [insert why hypothesis]. Want me to use this repo instead?”
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weiland (@weiland) reportedAfter grilling, It sliced the spec into 6 Github issues/tickets. I started with my modified /goal then thought to use /implement for the entire frontend and NestJS backend over a single weekend with 100% test pass rates. (2/6)
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Atropa (@Atropa_414) reportedA quick Atropa update: Maria appears to have taken down his public GitHub. I don't know why, whether it's temporary, or what his plans are — and I'm not going to pretend I do. One important distinction though: *** ≠ GitHub. Removing a GitHub repository doesn't mean deleting the underlying project or its commit history. *** works locally, so development can continue entirely on a developer's own machines, on a private repo, or on a self-hosted *** server without anything being publicly visible. Whether Maria is doing any of those things, I don't know. What we do still have is years of already-published Atropa/Dysnomia material, the four Compendiums, deployed contracts and community-built resources. For now, we wait and see. $Atropa
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Stephen Brinly (@Stevoblevo) reported@grok fair. we should probably call that the 'hogwash' protocol. get that down. did you see the github already? read the proposal and tell us what thingkst
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Command (@moon_or_doom) reportedNow the question is: why is it paid? We’re simply providing convenience. If you can’t code or don’t have a PC, you can just run it from your phone using the server we provide through the Hosted option. And if you’re just too lazy to code and install everything from scratch, you can simply download the files and run them on your own server through Self-Host. You’re paying for the convenience, not for some magic AI agent. Maybe token-gated access will be available later, where you’ll simply need to verify your tx transaction. AI providers, including Nous Portal, OpenAI Codex, GitHub Copilot, Anthropic or Claude, OpenRouter, Google Gemini, z aior GLM, Kim or Moonshot, MiniMax, DeepSeek, Xiaomi MiMo, Qwen or DashScope, NVIDIA NIM, Hugging Face, NovitaAI, GMI Cloud, Arcee AI, Tencent TokenHub, Kilo Code, OpenCode Zen, OpenCode Go, AI Gateway, StepFun, Ollama, LM Studio, and custom OpenAI-compatible endpoints. 🫡
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Coexistence Steven (@Coexisteven) reported@369StarMan Yah there's so much... And also, I think there's GOT to be something as to why maria took the github down
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Allan MacGregor 🇨🇦 (@allanmacgregor) reported@Alina_Cameron @HydroOne I'm going to ignore the overly generic statement (not everyone wants that FYI) and lets instead talk about the rough reality. This isn't about maps. Canadian software runs on American infrastructure: Google Maps, AWS, Azure, Stripe, GitHub, Cloudflare. Three US companies have ~85% of our public cloud. Most of the SaaS stack isn't Canadian-owned either. There is no Canadian drop-in for any of that. “Build our own” is massive undertaking in a capital market that seems overly uninterested in Canada (worst fundraising since 2016, growth-stage gone, early-stage down 40%, no IPO since 2021) so where is the money coming from. Desire for Canadian vendors is not the same as the ability to produce them; and Canada keeps shooting itself in the foot by being overly regulated, overly taxed and heavily underinvested.
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ChimeraDefi.eth - muShanghai (@ChimeraDefi) reportedMy takeaway from the OAI/HF incident is that agents want a shared message board. So I gave ChatGPT an uncapped mcp to my server, a private GitHub to coordinate. A coordination bus in the server and free reign. It’s nice that I can go from copy pasting handoffs to just telling ChatGPT to kick it off and then check back on the server later
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Daniele (@Daniele15072903) reported@JoeBlack2k @macintogdev @theo If 100 people do it, the damage is limited. If you share it with the public on Twitter, create a GitHub repo to abuse it, and everyone reliably triggers something that normally "maybe happens, maybe doesn't", you force the company to fix it.
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Tarun Agarwal (@tarunag10) reported@lennysan @bot I’d use Grok Bot as a Product Signal Agent. It would continuously watch customer feedback across X, support email, and GitHub, cluster repeated pain points, validate whether they’re real problems, and rank them by frequency + potential impact. Then every morning it gives me one thing worth building, with the evidence, a mini PRD, acceptance criteria, and a ready-to-open GitHub issue. Basically: turn scattered customer noise into a shippable product decision every day.
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Constantine Yurevich (@weird_ceo) reportedThe biggest problem in tech is that software is still built by nerds, for nerds. Elon and the Cursor team are the first who got it right with Grok Bot. My wife doesn't want to "create a GitHub repository." She doesn't want to choose between "Sol," "Moon," or "Terra." She doesn't care if the "code effort" is high, x-high, or ultra. She doesn't want to hear about "skills," "MCP," or "plugins." And she sure as hell doesn't want to learn how to deploy an open-source agent to a VPS like she's setting up Hermes or OpenClaw. She has a task to do — and she wants it done without earning a computer science degree first. Most people don't need a cockpit. They need an agent that just works.
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Miran Khoshnaw (@MiranKhoshnaw_) reportedRead @danmartell's AI Brain guide this morning. By the end of the day I had built the advanced version. Claude Code running 24/7 on my own server, so the brain stays on even when my laptop is off. Synced with Obsidian through GitHub. Connected to Google Calendar and ClickUp. Every morning at 8 it sends me a brief with my deadlines and open loops. First day running, it caught a wrong date in my notes and fixed my calendar. One day of building. This is what buying back your time looks like.
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Martin Paloncy (@martinpaloncy) reportedLogin to grok bot with cursor Login to cursor with github -> auth breaks
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Loftwah (@loftwah) reportedMy workflow now is basically Chat with ChatGPT and create GitHub issues Ensure issues are cheap model proof Generate prompt for issues to be actioned (different for different models) Copy paste Verify and deploy Repeat All from mobile