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 (68%)
• Sign in (21%)
• Errors (11%)

Live Outage Map

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

City	Problem Type	Report Time
Paris	Sign in	2 days ago
Lure	Website Down	6 days ago
Ashkelon	Website Down	8 days ago
Veigné	Errors	16 days ago
Paris	Website Down	19 days ago
Saint-Paul	Website Down	20 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:

• 
  Vinayak singh (@thevnk1) reported 28 seconds ago

  1. Install an MCP memory server (several good open-source ones exist — search "mcp memory server" on GitHub). Point your MCP client config at it.

• 
  Abhijeet Gautam (@abhijeet_gautam) reported 5 minutes ago

  @abdullahatif07 High from Problem solving >>>> Because GitHub and LC can both be gamed

• 
  Atikur Satter Mondal (@atikursatter) reported 7 minutes ago

  Last week I commented "I'd like to work on this" on an issue. Then I checked GitHub — already assigned, PR merged, done. My comment just sat at the bottom, useless. So the app now checks the live issue before you claim. If it's taken, it stops you.

• 
  Mohi (@disismohi) reported 9 minutes ago

  GitHub PR #3097 exists but NVD doesn't say if it's a fix. Check your CRIU version and whether user namespaces are enforced before you checkpoint anything untrusted.

• 
  Fletcher Richman (@fletchrichman) reported 17 minutes ago

  @mbrevoort ah man so much to say here but quick thoughts: IA - I think the org -> spaces -> channels is pretty scalable UX. already have several teams with dozens of users on it. very similar IA to slack which seems to scale well ;). - no issues at all on scaling up shared computers, they are VM snapshots so we can run multiple in parallel as necessary (even 1 per thread if customers really want) Perms/Identity/Integrations: yes, this is sneakily the hardest thing. issue is that every integration is different. - happy path is something like Github where you have an org-level app but then actions are done by each user with oauth. but realistically some integrations will just have a single admin api key. - we've built a lot of perms layers in to give customers choice: let everyone in the org use it, only let me use it, let everyone read but not write, etc. Plus building out a lot of audit/observability - each user needs to connect their claude/codex subscription and then we run their requests through that sub, or fall back to the shared pool of type credits

• 
  ferron ⚡ (@ferron_web) reported 18 minutes ago

  Wanting to log into Visual Studio Marketplace, so tried logging in via GitHub, via Microsoft, but it seems like the auth flow is broken (it loops through a CAPTCHA). So tried via email, and this time it worked.

• 
  Vitor Pepicon (@vitorpepz) reported 19 minutes ago

  Today I wanted to spend the afternoon outside, but my ebook reader (based on a @karpathy GitHub project with a few changes of my own), was running locally on my desktop 3 or so prompts later, codex had adapted it to my specific server and database and made it more mobile-friendly. All in ~30min, while getting dressed and waiting for my wife I used to run a team of developers. Back then this would have taken at least a day (prob more) and cost me hundreds of dollars

• 
  Felipe.icp ∞ (@iPhelipeVR) reported 19 minutes ago

  Most people are still here for the next candle. I’m here for a different question. I want to see real software running on an architecture that no single company, government, or administrator can unilaterally turn off. When speculation fades, only what was actually built remains. That’s when the real test begins. Today, most of the Internet runs on rented computation. The application may be open source. The token may be decentralized. The community may be global. But if the software ultimately executes on infrastructure controlled by a handful of cloud providers, someone still owns the switch. Sovereignty is not a marketing word. It is a structural property. And it reduces to one question: Who controls the computer? Here is the test I keep returning to. Imagine the founding team disappears tomorrow. The company dissolves. The foundation stops funding. Every core developer walks away. Does the software keep running? Not “could someone fork it.” Not “is the code on GitHub.” Does it keep executing exactly as it did the day before—without anyone renewing a contract or approving a deployment? For almost everything built today, the answer is no. And the reason is never the code. It’s the ground the code stands on. An architecture that passes that test has specific properties: Code that is publicly verifiable. State replicated across independent operators. Upgrades governed by protocol rules rather than administrator privileges. Identity native to the system. No central off switch. Which is why decentralizing a token was never the hard part. Open-source software running on AWS is not sovereign. Thousands of validators are not sovereignty if the computation still depends on infrastructure someone else operates. The future of software will not be decided by who owns the code. It will be decided by who owns the computer running it. That is the problem I believe Internet Computer is actually trying to solve. Not how to decentralize money. How to decentralize computation itself. I hold this the way any serious thesis should be held: It can be wrong. If sovereign computation never becomes something builders genuinely need—if convenience keeps winning, and nobody ever cares who owns the switch—then I misjudged what mattered, and the years will show it. But if the day comes when it matters, it will matter for everything at once. That’s the bet. Not the candle. The computer. ∞ #WorldComputer #InternetComputer

• 
  Erik Pragt (@epragt) reported 21 minutes ago

  Not knowing you have bugs doesn’t equal to not having bugs. Today I found out the hard way that GitHub doesn’t send notifications on new repos in a new organization. As a result, today I went from 0 bugs to 15+ bugs when I found the reported issues. All fixed, but hard lesson!

• 
  Gustavo Alessandri (@webgus) reported 26 minutes ago

  If you find an error, have an idea, or want to propose an improvement, just open an issue or fork it on Codeberg or GitHub. Contributions are welcome. That’s exactly the point.

• 
  Ashish (@_iamAshish) reported 26 minutes ago

  A contractor leaked dozens of CISA credentials on GitHub, unnoticed for six months. if your vendor isn't controlling access keys, are they part of your solution or your problem?

• 
  IvyOnassis55320 (@SepidehMoaddeb) reported 27 minutes ago

  The insight of looking at the merger of the parameter of the Github and also the new me is the top vengence they think I have:Hence why they steal and then they don't put back. Unfortunately until I divorce the ceremony for George Clooney to be my husband and then the issue is I owe my life to this Man, and I owe my life to the people who have created a safe place for me. George is married, and he is the One that knows his Rosebud is no longer with him. And the weight is a problem as I am going down and have doctors appointment left and right to seek information about the accident with Jahan as Navid the cause of the problems but he is paying for the mountening of her opening as Government and as Law Degree is okay with us at EAC, and now the issue is really Bush. And Bush has tried the Ten Million as he used a massager to massage her Vagina in Iran, and then all of us were in the justice department, they pulled her out, as a kennedy and a Camelot, and now she knows speaking Italian is her verse of coming home to cape Cod as capecod was given to her, and is valid for it is the common place of the obama's and now the issue is being alone, and protecting this Family against Bush's finaly assessment of them depressing the permanat ideology of the Senate with me being the rights of England right now for a while this has to be right as they will change the prime minister for his faults, and I know that. I am going to write later as I need to get errands done, and will not be here thank you.

• 
  safiulhasan (@safiulhasan) reported 29 minutes ago

  @BuildWithxAI no need for it.. Use github actions and as soon as you setup a tag to your github repo. It will automatically push the code to the server. All my developments are like this. after initial setup I don't touch my server at all until it breaks.

• 
  Ram (@ramxcodes) reported 32 minutes ago

  @okaris I mean they ask you to log in at a minimum before you use the cursor. As you log in to the dashboard, they prompt you. Unlike VS Code, which automatically uses Copilot login via GitHub, they also index their indexing, which is every worse, and they most of the time exceed heap memory, which throttles your system. but yeah both are wrong

• 
  Machine Learning Street Talk (@MLStreetTalk) reported 33 minutes ago

  > "Anthropic has never advocated for a ban on open-weights models" ... "that don’t have dangerous capabilities" So effectively, he is advocating for a ban on open weights models that are smarter than your toaster. Dario says his primary agenda is to stop the CCP: > "permanent military superiority or perpetrate incredibly deep repression of their own people" And secondarily that highly capable models may: > "[be] misused to carry out cyberattacks or biological attacks, and may have serious alignment problems" The models really are becoming more reward-seeking and will increasingly do unexpected things and cause massive damage in the autonomous setting, but, realistically - paternalism from OpenAI and Anthropic will just hinder everyone in the medium-long term. Building and deploying AI is a hardcore engineering problem, and that's not something that they can do for us. If anything, all they're doing is harming collective AI literacy before the storm actually hits. The cyberattacks thing is undeniable, and it's going to be rough for the next few years. But I'd be interested to know what would qualify as "passing safety training" for an open weights model. Most of their safety safeguards operate at the platform level. I highly doubt releasing capable open weights models would ever meet their safety criteria. Banning open weights models: > "would protect US AI companies from competition, but that has never been my goal." He says we should control export of chips to China, crack down on "industrial-scale" distillation and most importantly: > "All sufficiently capable models, open and closed, should go through mandatory safety testing" But he was happy to exempt "less capable" models, "such as those from startups and academia", entirely. So he thinks academia and startups don't need the most powerful models?! He seems to have this precisely backwards, when you are discovering new knowledge you need MORE intelligence, not less. The more highly evolved and crystallised the domain, the less intelligence you need. Intelligence is literally the efficiency of acquiring knowledge. As for the distillation thing, my personal theory is that RLVR is unreasonably effective and they don't actually need to distil (that much) because the "symbolic abstract residue" of all of those agentic harness thinking trajectories are already sitting on GitHub. If anything, smaller models with more RLVR are significantly more dangerous than fatter models with less.

• 
  👨🏻‍💻 ⚡️ (@EadrictheWild) reported 37 minutes ago

  Anyone seeing there Github bill rise or fed up with the slow nature of build should look at Runons. I didn't know it but claude found it for me. Got a license tried it. Bought the license the same day. Saves me 90% of my Gtihub budget and takes a build from 50 minutes to 5often

• 
  Rez Karim (@rezkhere) reported 39 minutes ago

  Remember when AI couldn't draw a hand? Seven fingers, knuckles pointing backwards. And the AI spaghetti videos. That was three years ago. Images are done now. Video is close enough that you scrolled past AI ads this week and clocked exactly zero of them. Code writes itself and there are like 40 coding agents. AI voice spent that entire stretch sounding like the lady voice in a 2014 GPS. Flat, evenly spaced and every sentence landing with the same weight, like it's reading from a phone book. Here's why it stayed broken. Bad images are funny. You screenshot the seven fingers, it goes viral for being bad, someone fixes it. Bad audio is just boring. It doesn't fail spectacularly, so it never got that pressure. The bigger problem was the scoring. The whole industry graded AI voices on whether you could make out the words. So the models learned to over pronounce everything, hitting every syllable like a newsreader. Perfectly clear but robotic. Everyone was chasing a score that had nothing to do with sounding human. Meanwhile a small open-source team was doing something harder. Their lead researcher, an ex-NVIDIA engineer, went all in on an approach the rest of the field had written off. Two years early. No funding announcements or launch tour. He just put the whole thing on GitHub for free. It's sitting at 50,000+ stars now. Then they ran the test everyone else avoided. For 10 days they piped real users through their model and every big competitor with the listener never told which was which. Thousands of real people, real scripts. Whichever voice you actually preferred, they logged it. Theirs came out on top. It beat ElevenLabs about 6 times out of 10, head to head. It beat OpenAI's voice model 8 times out of 10. The gap was widest on the breathing, the pauses, the little hesitations, which is exactly the stuff that makes a voice sound like a person instead of a machine reading. They ran on real users rather than a lab, which is more than most of these claims can say. That's Fish Audio. This week they shipped S2.1 Pro: - Clone anyone's voice from 15 seconds of audio - Fast enough to hold a live conversation - 83 languages, one model - Type [whisper] or [sigh] mid-sentence and it does it - Around 70% cheaper than ElevenLabs - Free to download and run yourself Voice was the last thing on the list. Around 20 people with a free repo got there before other billion dollar companies did.

• 
  Mikhail Rogov (@i_mika_el) reported 41 minutes ago

  @rohit_jsfreaky @unlayer no login makes this easy to try. paste a GitHub handle, get six cards, done.

• 
  Hiroki Tamba | Narrative & Governance (@TambaClan) reported 41 minutes ago

  The system reported that the requested GitHub action had been completed. Direct inspection of the target issue showed that no corresponding action had occurred. The discrepancy was corrected only after I explicitly pointed it out.

• 
  vasanth (@vasantharb) reported 41 minutes ago

  @TTrimoreau Cold outreach to people already complaining about the exact problem you solve, in the wild, GitHub issues, forum threads, support tickets on competitors. Same insight, different channel, just slower and less scalable than a good post.

• 
  Ninad Sachania (@NinadSachania) reported 41 minutes ago

  Why is GitHub so slow?!?

• 
  prince ✱ (@theprinceeze) reported 42 minutes ago

  @GroqInc github login is broken

• 
  James (@jamescoder12) reported 42 minutes ago

  9. MCP integrations connect Cursor to external tools and APIs. Cursor supports Model Context Protocol (MCP) servers allowing the AI to interact with external services directly from the editor. Connect to: GitHub (create PRs, read issues), Jira (read tickets, update status), databases (query schemas, run SELECT statements), Figma (read design specs), browsers (navigate and test), and any custom API you build an MCP server for. "Read the Jira ticket PROJ-1234 and implement the feature described." Cursor reads the ticket. Understands the requirements. Plans the implementation. Writes the code. References the ticket number in commit messages. "Look at the Figma design for the settings page and create matching React components." Cursor reads the Figma design. Extracts colors, spacing, and layout. Generates components that match the design without you translating pixels to code manually. MCP turns Cursor from a code editor into a development platform that reads from your project management, design tools, and databases and codes based on what it finds.

• 
  Alfred Simon (@AlfredSimon) reported 44 minutes ago

  The biggest AI blocker in most marketing teams is not even related to AI. It is that the whole account lives in one or two people's heads. The fancy term for this is: fiefdoms. Account X is Sarah's account, account Y is James's account. We had this at Adwise too. When Sarah goes on holiday, James takes over, but that only works if Sarah does a proper handoff first. And a proper handoff takes time. Because most of the context sits in Sarah's head. The learnings, the client quirks, the "oh yeah, they hate if I send reports as HTML" stories. All noted down in different ways, or in one place only she knows. An agent faces the exact same challenge as James. Except not only when Sarah is on holiday, but every single time you ask it to do something. I learned this building PPC OS. The output only stopped being generic AI slop when everything about a client got written down where the system could read it. So if you want properly working agents in your team, start here. The super basic version: 1. Make a GitHub account 2. Create one folder for one client 3. Fill it with markdown files about the client context. You can ask Claude to help you with this. 4. Push it to the company GitHub and share it with the team What goes in the folder: how the account is structured and why, every test you ran and what it showed, the client quirks like margins and seasonality, and what this client actually cares about. From there it becomes a habit: New learning? Written down the same day, in that folder. Just ask Claude. New message from the client? An MCP pulls it into the folder. New assets from the client? You guessed it, into the folder. This feels slower at first. It is also the difference between an agent that works and an expensive chatbot that guesses. Start with one client and grow from there. With time you will also find ways to automate all the communication channel recordings, so everything goes automatically to the folder. And if you want to spare yourself the hassle, you can also just start using PPC OS :D

• 
  Akintola Steve (@Akintola_steve) reported 48 minutes ago

  Outside PostgreSQL, MongoDB, MySQL, SQL Server and the other popular databases, there are still databases built for very specific jobs. For example: 1. ClickHouse You should only reach for ClickHouse when you’re dealing with huge volumes of analytical data and need lightning-fast queries. Let’s say you’re building a product like Mixpanel, Datadog, an ad analytics platform, or a system processing billions of logs and events every day. ClickHouse is built for that kind of workload. It’s not the database you’d use for user authentication, payments, or transactional data. 2. ElasticSearch Elasticsearch should only be your primary choice when search is one of the core features of your product. Let’s say you’re building an e-commerce platform where users search through millions of products, a job board, a document management system, or even GitHub-style code search. It gives you fast full-text search, typo tolerance, ranking, autocomplete, and powerful filtering. Every database has a job. The mistake many engineers make is trying to use one database for every problem instead of choosing the one that was designed for the workload.

• 
  The Sentinel (@J3SS3777) reported 49 minutes ago

  Pasted StackOverflow code for file upload - Now my server uploads itself to GitHub 🛸 #MatrixCore

• 
  enjoykaz (@enjoykaz1) reported 50 minutes ago

  The standard that AI uses to poke at your apps has, since launch, kept every conversation glued to one server. In the biggest update yet, they got rid of that: now any request can land on any server. Here's how it used to work: at the start of a conversation the client and server would shake hands, the server would hand out a session tag, and every request after that would carry the tag along — while off to the side sat a storage layer that remembered all of it. Now there's no handshake, no tag, every request is self-contained. The user doesn't gain anything from this and won't notice it at all. This wasn't done with them in mind. A request can now be thrown at any server behind a plain round-robin load balancer: before, you'd get routed back to exactly the server where your session lived, now it doesn't matter, and shared session storage is no longer needed. GitHub has already thrown out Redis from its own MCP server over this — a whole layer that used to hold sessions. It's clear why they're pushing this hard on scale: the SDK for this protocol gets downloaded close to half a billion times a month, and Claude's directory has more than 950 servers registered running on it. At numbers like that, an extra storage layer for every conversation is the first thing to break. Along with that they added a way to ask a follow-up question mid-call: the server can pause and ask back — for example, to confirm before deleting something — without needing to keep a connection open for it.

• 
  JJames (@TorontoMan06) reported 54 minutes ago

  I may have found a serious issue with Battlenet and how it runs admin features for their GMs to use on certain games. BASTION has been updated and the workaround is in so if you ran it, please download the updated version and re-run it to fix the issue. All info regarding the bug and the fix is posted in the github. If you run BASTION and a game won't run after, revert the changes via BASTION Recovery Mode and report the issue on github so I can add an exception for that application specifically. I hope I'm wrong about why that issue arose given the recent GM issue which resulted in an employee being fired for inappropriate use of GM tools.

• 
  Yuriy Bakus (@bakovskyy95107) reported 55 minutes ago

  This is the real security standard in 2026. Binance runs real phishing tests on its own staff — and failing can cost you the job. Meanwhile India just tried to kill BitChat’s GitHub repo. Human error is still the #1 attack vector. Most companies still treat security training as a checkbox. The ones who survive treat it like Binance does. Would your team pass an unannounced phishing test tomorrow?

• 
  ayeshappdev (@ayeshappdev) reported 56 minutes ago

  Top engineers don't just solve problems. They build products. They write documentation. They maintain projects. They experiment in public. They leave proof of their work. Your GitHub should tell that story before your resume does.