GitHub status: access issues and outage reports

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.

Most Reported Problems

The following are the most recent problems reported by GitHub users through our website.

• Website Down (60%)
• Errors (27%)
• Sign in (13%)

Live Outage Map

The most recent GitHub outage reports came from the following cities:

City	Problem Type	Report Time
Township of Evan	Errors	4 days ago
Madrid	Errors	4 days ago
Bogotá	Errors	4 days ago
Paris	Errors	4 days ago
Lyon	Website Down	4 days ago
Lima	Errors	4 days ago

Full Outage Map

Community Discussion

Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.

Beware of "support numbers" or "recovery" accounts that might be posted below. Make sure to report and downvote those comments. Avoid posting your personal information.

GitHub Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Synapse Brief (@Synapse_Brief) reported 50 seconds ago

  OpenChamber shipped an OAuth fix on August 4th that solves a real problem: signing into an OAuth-only provider would complete in the browser and then just leave you looking signed out. Browser login wasn't getting stored, provider list wasn't refreshing. Now it does. Here's what's actually interesting about how they wrote it up. The fix note says "OAuth-only providers," full stop. No provider named. Not which one broke, not which one they tested against, not whether this covers every OAuth-only integration in the app or just the specific adapter that was misbehaving. That's not nothing. A release note that says "fixed login for provider X" tells you exactly what changed and what to go test on your end. A release note that says "fixed login for a category of providers" tells you the intended scope, not the verified one. Those are different claims wearing the same sentence structure. One adjacent line in the same release does name something concrete: sign-ins requiring extra setup details, GitHub Copilot Enterprise given as the example, now ask for those details before opening the browser instead of failing partway through. That's a separate fix from the OAuth-only completion bug, but it's worth being precise here, since it means the release note isn't entirely provider-agnostic, just the specific fix people will assume matters most. The mechanism itself is a familiar failure mode if you've built OAuth flows before. Browser-side authorization can succeed completely while the host app fails to persist that session or refresh what it thinks it knows about available providers. Two systems agreeing the login worked, app state still stuck on old information. Nothing in the note points to a security issue, token leak, or credential exposure, this reads as a straightforward persistence bug, not anything you'd patch under urgency. If you're running OpenChamber against an OAuth-only setup, you're better positioned to know what this actually fixed than the release note itself tells you. Which providers broke before v1.18.1 and now work is genuinely undocumented past that one Copilot Enterprise example, so if you've tested it, that's more specific information than what OpenChamber published.

• 
  Gilded Pleb (@gildedpleb) reported 6 minutes ago

  @BTCNoodles @ts_hodl Yeah, its rekt probably because API version changed. Its an easy fix if you wanna run it locally and have AI. Link to the github on the website. I just havent had the time to fix it for deployment. Sorry fam.

• 
  GavinGoGaming (@GavinGoGaming) reported 9 minutes ago

  @github @githubstatus @githubcommunity My org has been flagged and hidden for over 11 days now, with no ticket responses (Ticket 4620235) - Is there any way I could get some help or an ETA on review? It's taken down our maven, all github pages, and all open source code.

• 
  Khairallah AL-Awady (@eng_khairallah1) reported 13 minutes ago

  holy sh*t this is f**king gold a GitHub free repo with 45,100 stars just gave out the entire framework to run your entire business using ai agents here is how you run it: 1. install the cli, self host with one flag 2. connect your laptop as a runtime 3. done and assign issues to agents like colleagues save and bookmark no matter what

• 
  코지베어 🐻 CozyBear (@cozybearlog) reported 15 minutes ago

  Every two months someone announces a GitHub killer. GitLab was the only one that actually shipped, and even that lost by staying alive. The part nobody admits: code hosting is a trust game, not a feature game. Repos, issues, CI all migrate fine. What does not migrate is the network of people who review each other. That is the real moat. Which is why an agent-native code host is the first credible threat. Once reviewers are models, home turf loyalty stops mattering. The moat erodes not from features but from who reviews your code.

• 
  Duncan Rogoff (@DuncanRogoff) reported 15 minutes ago

  i hard-banned "excited to share" from my caption writer. it's a free claude code skill i built. you describe what you made, however messy, and it hands back a caption you can paste and post, in your own voice. most people finish a thing and then say nothing, because posting feels like bragging. so the build sits in a folder and nobody ever sees it. the fix isn't better adjectives. it's showing the thing instead of announcing yourself. what it actually does: - picks one of four post shapes and says which and why: show the thing, the lesson from a mistake, before and after, or the honest progress update. never blends two. - writes three candidate first lines, picks the strongest itself, and tells you why in one line - sizes the caption to the platform. instagram, 4 to 8 short lines. linkedin, 6 to 12 short lines. x, under 280 characters. tiktok, 1 to 2 lines only. - ends with a comment keyword instead of a raw link, because comments turn into conversations - reads it back and cuts any line that only exists to sound impressive - never invents a metric. "it's faster now" is fine. a percentage is only fine if you measured it. - saves the finished caption to a captions folder so you have a library, not a chat log it loads your brand profile before it writes, so it sounds like you and not like a caption generator. so you can post the thing you built today, in about a minute, while everyone else is still staring at an empty box. free. copy the folder into your claude code skills directory, restart, then type /caption-writer. 👉 github repo in the replies

• 
  AI with Remy | Learn AI (@aiwithremy) reported 15 minutes ago

  Steve Jobs would lose his ******* mind setting up an AI agent. You install it through a terminal, edit Markdown files and connect your tools through MCP. Then the agent lives on your laptop. Turn it off and the agent dies, along with every scheduled task. You can’t open the same agent from your phone. Sharing it with your team means GitHub, synced folders and more setup. Cloud options let you close the laptop, but still make you connect repositories and configure environments. he would vomit in his mouth. If Steve Jobs designed an AI product today, it would look like this... you’d open one app on any device and everything would be there. Gmail and Notion would connect in one click. GitHub, Markdown files, CLAUDE.md, MCP and CLI won’t even enter your consciousness. Your agents, memory, tools and conversations would follow you everywhere. Your team could use the same agents and join the same sessions. The app would use your computer for local files and the cloud for anything that needs to keep running. You wouldn’t choose or even know where it ran. Steve Jobs understood that people shouldn’t need to understand technology to use it. And right now, AI companies have completely forgotten that. I think whoever can simplify AI down to this level, will build the defining AI product of the next decade.

• 
  Teknium 🪽 (@Teknium) reported 18 minutes ago

  @0xRivval The update server... is Github... ;o

• 
  Tal Ohana 👨‍💻 (@talohanax) reported 21 minutes ago

  @mattpocockuk @saidelike Same for me, also when trying to use this link (signing-in with Discord/GitHub also broken for me)

• 
  Floww (@floww3rs) reported 22 minutes ago

  @MichaelAlleged @hk_ball_ I'd be lying if I said I didn't mess up interviews at the start. But I blamed myself, learned, and got way better. As for it being bleak. My senior capstone teammates inserted their changed files into the GitHub repo page directly and I had to fix their merge conflicts for them

• 
  宮崎 光夫 (@LyIidl) reported 24 minutes ago

  @I_am_power_ Thanks for submitting the writeup! I checked it out, but it looks like the link might be broken since I can't see the writeup. For some reason, it just takes me to my own GitHub account, which I don't even use.

• 
  Ananth (@Ananth7e) reported 29 minutes ago

  someone analyzed 2000 open next.js github issues in a couple of hours using gpt-5.6 luna. he burned through ~1 billion tokens. and it only costed him $30 in api credits. luna is stupidly cheap and can be used for tasks like these.

• 
  Scott (@scottjla) reported 30 minutes ago

  @mikeveerman @dannolan Yeah, you definitely need some ongoing management like this. I have github issues working well for agents, but occasionally they have some stale stuff tagged, basically meaning everything is blocked, so having it review stuff reguarly is good.

• 
  Julian Goldie SEO (@JulianGoldieSEO) reported 33 minutes ago

  A computer just solved a math problem no human could crack for 25 years. In a single day. Meet ChatGPT Astra. It's not like ChatGPT. It doesn't answer quick questions. It takes one massive, messy job and chews on it for hours—sometimes days—without stopping. More like a whole team of AI workers talking to each other and splitting up the hard problem. Here's what it actually did: → Solved 10 unsolved math problems → One hadn't been cracked in 25+ years → Another had Paul Erdős's name on it (THE most famous mathematician ever) → Published 249-page proof paper on GitHub so anyone can verify But here's what got me most: All machine-checkable. A computer confirms it's correct in seconds. No waiting months for humans to verify by hand. That's the shift coming. ✓ Save this video, you'll understand where AI is heading next. Want the SOP? DM me.

• 
  bryanthaboi (@bryanthaboi) reported 34 minutes ago

  @Lewchube @GamingAori I wrote a really long reply actually to this just now (ten minutes after waking up), but I think you’re either missing my point, or unwilling to give me any grace while we discuss this. It doesnt feel like a genuine thing like u claimed and i feel like regardless of what i say, you wont hear me out. Again, im actually being genuine when i say im grateful for your comparison. But im picking up more than genuine concern here. It almost feels like somehow you’re mad at me? I don’t know who you are so I’m not sure why. There’s a word for this but I can’t think of it for the life of me. I’ll eventually fix any bug you find. If you’d truly like to be helpful, please write me GitHub issues. I’ll fix it all. I promise. And, because you seem so passionate I’ll even squash the bugs you find asap.

• 
  observer (@rznstn) reported 34 minutes ago

  @theo @shadcn Do some kanban or a tasks queue, so it feels like a teammate, and then let user move GitHub issues into those kanbans

• 
  Matthew Rowean (@MRowean) reported 40 minutes ago

  SYNC: ICLOUD FOR THE FILES, GITHUB FOR WHAT YOU CAN’T LOSE. If you work across more than one machine, persistence is the whole game. You want to sit down at either computer and find everything where you left it. Skip this if you work on one machine.

• 
  The Tech Buzz (@tbuzzdaily) reported 42 minutes ago

  A securities class action against Microsoft, filed in June 2026 in federal court in Washington state, alleges the company misled investors between May 2025 and January 2026 about Copilot's performance and AI spending. Rosen Law Firm is one of several firms soliciting shareholders with losses over $100K ahead of the August 11, 2026 lead-plaintiff deadline. The suit follows Microsoft's January 28, 2026 earnings, when Azure growth decelerated to about 39%, quarterly capex hit roughly $37.5B, and the company disclosed for the first time that only about 15 million users had converted to paid Microsoft 365 Copilot, roughly 3.7% of its commercial 365 base and below what analysts expected. Microsoft shares fell about 10% over the following two trading days. The complaint alleges, as unproven claims, that Copilot had brand, UX, and interoperability problems, that Microsoft's AI model lagged competitors on benchmarks, and that Microsoft had to divert GPU and CPU capacity away from profitable Azure to prop up Copilot and its AI research. Even the company with arguably the deepest AI distribution advantage in the world, baked into Office, Teams, and GitHub for hundreds of millions of users, is finding out that bundling AI into existing products doesn't automatically turn into paid seats. Wall Street used to wait years to find out whether an something like an AI bet worked; now it's pricing the gap in real time, one earnings call at a time.

• 
  Axiom (@axiomhq) reported 42 minutes ago

  @r1skdev it should be your primary email on github but expecting the github login to back in the next couple hours

• 
  Spooky Ghost (@SpookyGhost81) reported 42 minutes ago

  @ChShersh @onehappyfellow hard times create strong languages strong languages create 5000 unresolved github issues 5000 unresolved github issues create hard times

• 
  reclusivelibertarian (@nonarchic) reported 44 minutes ago

  @OmittedVerstand @LundukeJournal I started programming in 1999... I use ai everyday for programming, it is hit and miss, model changes suck because you have relearn all the ways it sucks now on the new model, over all for popular languages it is pretty good. Python for example. If you get in the less popular lang that is where trouble lies... And by popular I mean stack overflow, GitHub, etc ...

• 
  VeerTx (@VeerTx) reported 46 minutes ago

  @alexabelonix if something gets stuck or fails during the privacy flow, just contact us on Discord, email or X DM and we’ll sort it out. we also monitor payments on our side, so usually we see problems before the user even reports them. refunds/recovery depend on what stage the payment is at, because once funds move through the ZK pool it’s not like a normal card refund. full details are in the docs and github and gitbook

• 
  zettelkasten (@zettelkastten) reported 46 minutes ago

  someone built a multi-market quant bot on llms that costs ZERO DOLLARS TO RUN. no server. no cloud bill. no api keys. i checked the workflow file to find the catch. 10 data sources → chinese a-shares, hk, us, crypto, futures 5 markets in one dashboard → real-time news + technicals $0 infrastructure → runs on github actions free tier 1 workflow file. 24/7 schedule. 100% free tier. the hard part of quant was never the model. it was the data plumbing. he swapped the pipes for llms and let microsoft foot the bill. i've been paying for terminals like they're electricity. the meter was optional. 10 sources. 5 markets. $0. microsoft pays.

• 
  Nick Christensen (@NickAC1) reported 47 minutes ago

  I bought the AI hype for a minute. Saw enough posts on here calling all subscription software dead. Told myself I can definitely rip and replace my whole tech stack with vibe coded alternatives. Then I actually tried doing it. I vibe code stuff every day with Claude Code and Codex. And yet I still pay subscriptions for n8n, Granola, Wispr Flow, CleanShot, Brain FM, Paste, and more I could technically build myself in a weekend. I won't. Almost nobody will and less than 1% will even try. Even fewer will clone the open source alternative from github and actually use it every day. People will always pay to avoid even minor inconveniences. That has never changed and I don't think it ever will. I'm testing an alternative to Granola right now and one bug or slow load times make me quit the alternative app and go back to Granola. I will gladly pay to never have to think about fixing a saas tool or having to restart my computer because it crashed. But there's a pricing ceiling thats getting lower which AI is changing. Sub $50/month will be safer because vibe coding an alternative isnt worth it. Several hundred $/month, I'll now look at alternatives even when the tool works fine or try to build it myself. Also switching is friction. Signing up for a new tool, migrating data, learning a new UI, etc. That switching cost has always been the real moat in software and AI doesn't erase it.But any app with an API key is now something an agent can onboard for you which does lower the moat a lot. So really the whole game is convenience to price ratio on both sides now. Least friction to start using you. Fewest reasons to leave. Cheap enough where it's not worth switching or building.

• 
  scalp (@0x_scalp) reported 49 minutes ago

  HE'S RUNNING A 2.8 TRILLION PARAMETER MODEL ON A LAPTOP. THE TOOL THAT MAKES IT POSSIBLE HAS LESS THAN 100 GITHUB STARS. Almost an entire terabyte of model weights. Everyone assumes that means server racks, not a laptop bag. It's called WASTE — Weight Aware Streaming Tensor Engine. A clean, no-dependency C program built by one developer, Marco Bambini, that almost nobody has heard of yet. Here's the trick: instead of loading every parameter into memory at once, it treats the model like 80,000 specialists sitting on your SSD. Ask a question, it wakes up the ~4% of experts who actually know the answer, gets the response, puts them back to sleep. Only the necessary slice ever touches fast VRAM. 64GB of RAM. That's the whole requirement. Not a cluster. Not a subscription. One commenter called it pointless at 0.3 tokens a second. His answer: "nothing is pointless when you're the only one with control over it." That's the actual story behind K3's open weights dropping July 27 — not just that a Chinese lab matched the frontier on capability, but that architecture tricks like this are what turn "frontier model" into "something that runs on your desk." The people finding tools like WASTE this week will be running local frontier inference while everyone else is still comparing API pricing tables.

• 
  lazystalker (@lazystalker) reported 51 minutes ago

  @NearestCommit @forloopcodes @massgravel Honestly, it's on GitHub. Microsoft would have a hard time claiming they were unaware. It's basically Microsoft approved at this point. I think their techs have even recommended it to fix activation issues.

• 
  raulk (@raulvk) reported 52 minutes ago

  and you folks wonder why GitHub is down all the time if I were GitHub, I’d self-destruct before having to stomach stuff like this

• 
  ProxySoul (@BniWael) reported 53 minutes ago

  Three frontier models. Three of my own bugs. One repo, one window. · Opus 5 + sonnet 5 (marionette) · GPT-5.6 Sol · Fable 5, handed nothing but a GitHub issue link No worktrees, no branch juggling. They share one checkout and claim files as they edit, so each tab knows what the others are touching. $10 and 97% cache across the board. All three wrote their own commits. Call me a maniac, I'm a sucker for transparency. Also for a coding agent that looks like something, instead of another wall of text.

• 
  Andres (@Coord53996524) reported 54 minutes ago

  1/ AI coding creates a temporary productivity spike. Carnegie Mellon researchers analyzed GitHub data and found this peak lasts about three months before code complexity and static analysis warnings persistently drag down velocity. 📉 #AI #Coding

• 
  Romario (@bateshkaaa) reported 59 minutes ago

  MOST PEOPLE USING CLAUDE CODE ARE LEAVING 90% OF ITS DESIGN SKILLS ON THE TABLE Same Claude. Same model. Completely different results. Out of the box, Claude Code builds websites that look… fine. Clean. Functional. Forgettable. But give it the right web-design skills and suddenly it starts building pages that look like a $5,000 agency made them. And here’s the crazy part: Those skills are completely FREE. They’re sitting on GitHub right now, and almost nobody is using them. I found the exact setup that turns Claude Code from an average website builder into a serious design machine. The skills + workflow are in the article below. Once you install them, going back to default Claude feels broken.