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 (70%)
• Sign in (17%)
• Errors (13%)

Live Outage Map

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

City	Problem Type	Report Time
Itapema	Website Down	17 days ago
Tlalpan	Sign in	23 days ago
Quilmes	Website Down	23 days ago
Bengaluru	Website Down	25 days ago
Yokohama	Sign in	26 days ago
Gustavo Adolfo Madero	Website Down	30 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:

• 
  Mike Gannotti (@MichaelGannotti) reported 3 minutes ago

  @joshtisdale @Microsoft When it first came up were you presented with two buttons? one to login with Microsoft 365 and One for GitHub?

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  EdKo (@EdKolife) reported 3 minutes ago

  Google just shrank 31GB of AI memory down to 4GB. Same search. Faster than the industry standard. No training required. This is not a model improvement. This is not a new architecture. → It's a compression algorithm that makes the hardware problem smaller. Right now, running serious AI locally means serious RAM. Most machines can't do it. Most phones can't do it. Most edge devices can't do it. Turbovec quietly changes that math. A 10 million document search engine that used to need a server now fits on a laptop. Nobody is talking about this because it shipped as a GitHub repo, not a press release. The models get the headlines. The infrastructure is where the shift actually happens.

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  Christian Wendler (@iret77) reported 5 minutes ago

  @faizionweb3 Then feel free to visit the repo and download aiui for mac or windows. It's open-source and free to use. In case of a missing feature or a bug, please open an issue on GitHub, will fix it asap.

• 
  -TheEscapistЯandom -Baltic Citizen (@theescapistspl1) reported 7 minutes ago

  @github should add new type of error or reason for disabling reposotoy, to be a Compromised Repo!

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  All Things Dev (@all_things_dev) reported 7 minutes ago

  It's not a good month for @Microsoft. These are products that I have stopped or will stop using - 1. GitHub Copilot (Unpredictable Cost) 2. Office (Bundled AI + Pricing Dark Patterns) 3. Edge (May be; Netflix flicker issue, Forced UI changes e.g. rounded corners and theme etc.)

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  SAAS worker🌻🌻 (@sand_9999) reported 14 minutes ago

  Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5) is giving error. @githubstatus @github

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  Oleg Akbarov (@olegakbarov) reported 16 minutes ago

  @patrickc Building this. File-canonical, agent-agnostic, build artifacts that stick around and feed each other — the "all this stuff I want to compute over iteratively" problem is the entire thesis. Real-time collab is the one piece I've deliberately held back on for now, the GitHub-as-AppStore seems like a more appealing route. Happy to show more

• 
  Mike Fishbein (@mfishbein) reported 16 minutes ago

  We replaced ourself from our own client work. Built a system that turns client request into shipped code. Clients get production features built in minutes. Background: We were putting finishing touches on an internal tool. Client was messaging us with all those small requests that always come up before you ship. Then we realized something shocking: The bottleneck wasn't coding, it was US. Reading messages and actioning them was the slowest part. We had already architected the project and context engineer'd the system, so Claude Code could handle most requests. We were just a middle man at that point. So we replaced ourselves. Took ourselves out of the way. Built a Telegram bot hooked up to Github, Claude Code, and Vercel. It turns requests from clients into shipped code. Here's what it does when the client drops a message in the group chat: > The Telegram bot webhook runs as a serverless function on the same Vercel instance as the site (zero new infrastructure) > The function fires a GitHub repository_dispatch event carrying the request text > GitHub Actions spins up a runner, clones the repo, and hands the request to Claude Code > Claude Code reads the full project context from AGENTS.md, makes > Commits to main and pushes, Vercel auto-deploys on push, live and ready for the client to review > The action calls Telegram Bot API to reply in the group chat with confirmation No more "hey can you update this when you get a chance" messages sitting in our inbox for a day. No more context switching. Clients get their requests shipped faster because we built a system thats handles them instead of handling them ourselves. Some people set up a VPS and run OpenClaw or Hermes Agent so they can chat with a coding agent from Telegram. That's a pain though. We skipped all of that. There's no server, no Docker, no systemd service. The entire pipeline is serverless and runs on infrastructure that already existed. The webhook lives on the same Vercel deployment as the site itself. GitHub Actions is the only compute. Here's how to build this for yourself (copy-paste this into Claude Code): 1. Set up a Telegram bot (BotFather) and point its webhook at a `/api/telegram` serverless endpoint on your existing hosting 2. Write the endpoint: verify sender, extract message text + any photo URLs, fire `repository_dispatch` to GitHub 3. Create a GitHub Actions workflow triggered by `repository_dispatch` that runs `claude-code-action` with the request payload 4. Add `AGENTS.md` to your repo with project structure, deploy commands, and conventions (this is the agent's context) 5. Have the workflow's final step POST a confirmation message back to Telegram via Bot API

• 
  October Ø (@ralphaelofDeFi) reported 17 minutes ago

  @Trae_ai How can we use it when we can’t even login. I keep complaining but no one’s answering. We’ve dropped reports on GitHub and no response. WE CANT LOGIN😪😪😪

• 
  Shubham Sharma | AI & Tech (@editxshub) reported 17 minutes ago

  @polydao Bro is still trying to farm GitHub handles using OpenAI Codex, a program that was officially shut down in 2023. Forinking a repository and making fake commits won't get you a $1,200 subscription, it just makes your profile look like a desperate spam bot. Stop lying for impressions.

• 
  Douglas Liscano (@douglas2428) reported 19 minutes ago

  @MatthewAry @github @SlackHQ Yes, we have the same problem today

• 
  CertifiedAuthur (@AuthurOkafor) reported 23 minutes ago

  Don't really understand the hype around Claude Code; GitHub Copilot sweeps this stuff day and night. Great models from Claude, but terrible coding agent!

• 
  Manavmeet Singh (@Manavvv31) reported 23 minutes ago

  You paid LastPass to protect your passwords. LastPass stored your vault backup on servers that got hacked. Here is what they hid for three months, and what you should actually use. You paid LastPass to protect your passwords. LastPass stored your vault backup on servers that got hacked. Here is what they hid for three months, and what you should actually use. In August 2022, attackers broke into LastPass's systems. The company's first statement said no customer data was affected. Their November update told a different story. The hackers had taken a full copy of every customer's encrypted password vault. But there was something else in those backups that was never encrypted at all. The websites you saved passwords for. Your billing address. Your email. Your phone number. Your IP address from every login session. All sitting in plain text, attached to every stolen vault. An attacker did not need to crack a single password to know where you bank, what medical sites you visit, and what your home address is. The FTC filed a complaint in 2024 citing years of deceptive security practices. The CEO stepped down. Here is the timeline: August 2022. Hackers enter LastPass's systems. September 2022. LastPass says limited information was accessed. December 2022. LastPass confirms the entire vault backup was stolen. January 2023. Researchers publish analysis showing that older vaults with weak encryption settings could be cracked. 2024. FTC complaint filed. So what do you actually use. Bitwarden is open source. The full codebase is on GitHub. It has been independently audited three times. The free tier covers everything most people need. The code is the proof. Not the marketing. Security software that cannot show you its source code is asking you to trust a promise. Promises are not a security model.

• 
  Jai Chism Photography.bit (@jai_chism) reported 26 minutes ago

  @drakonzbg It will bounce back.. ICP is at $2.26, its all time high was $750 CMC, the all time low was $1.97. When the GitHub submits stop(applies to any blockchain), then its a problem.

• 
  Lethalmon (@Lethalmon) reported 27 minutes ago

  @elitecat93 Hey, I'm sorry you're having trouble downloading the game. GitHub can be slow sometimes on downloads, we can't do anything about it. Have you been able to download it since then?

• 
  umar ibrahim (@imp213x) reported 28 minutes ago

  Ok, this is getting serious. Has anyone ever had problems with subscription on @github ? I think they have the poorest support system I’ve ever interacted with! Actually, there is no interaction, because an interaction has to have a second or third party, I’ve been the only one doing the “interaction.” I’ve never experienced anything quite like this in my entire experience on any platform. If anyone have a quicker way to get their response 🙏

• 
  Konshu (@Konshu) reported 28 minutes ago

  @cantcomputer @the_cia_hacker @lmilsfsd Y’all need to stop being weird. - Plex isn’t the issue at hand any more or less than a random github project. - Data acquisition here is the risk as presented by the user. - File type sanitization is lacking here, again library ingestion issue, Plex can and does stick to media file types, exe is by default.. unrecognized. Ultimately your ingestion should be a methodical process which includes dropping bs files in the repo, wrong thumbnails, garbage meta, etc. Whole point of plex is to be agnostic, changing the tool doesn’t inherently change this problem.

• 
  dunik (@dunik_7) reported 31 minutes ago

  $0 to set up. $300 per competitor report. 15 minutes of actual work. Hermes Agent open-source, #1 on OpenRouter, 160,000 GitHub stars in three months. Hermes writes every learned procedure to ~/.hermes/skills/. month one you have 30 reusable workflows. month three, work runs 40% faster on the same tasks. the actual stack: / Hermes Agent (free, NousResearch) / LM Studio or Ollama (free, local model server) / Qwen 3.6 27B (free, runs on a MacBook with 16GB RAM) / 30-minute setup once, then nothing 10 reports a month is $3,000. 15 is $4,500. the agent gets faster every report because it remembers everything you did the last time. Claude Code runs the same pattern with ~/.claude/skills/. same disk, different agent. the moat is the folder, not the model. AI that forgets is a chatbot. AI that remembers is a business.

• 
  LeetLLM.com (@leetllm) reported 37 minutes ago

  letting Claude write C patches and also rewrite 5,800 lines of rsync's test suite to validate them isn't CI. it's an automated echo chamber for silent data corruption. 'Please Do Not Vibe **** Up This Software' is the ultimate GitHub issue title.

• 
  Nixson (@tomnixson) reported 37 minutes ago

  A 14-year-old in China just out-coded his own computer science teacher, and the teacher still doesn’t know the student is sitting in his class watching him present the proof. It started over summer break. The kid found Claude Code on YouTube and watched the same three tutorials on repeat until prompts finally clicked. No course. No mentor. Just a screen at 2am and a kid who refused to stop until he understood it. First week back, the teacher gave a simple assignment. Build any program in Python. Most kids made calculators. One made a to-do list. The usual. This kid built a full multiplayer math game on a touchscreen. Tug of war. Two teams on each side of the screen. A problem appears, solve it faster and your team pulls the rope, miss it and the other side gains ground. Timer ticking. Animated characters straining. Kids screaming at the glass. The teacher watched the demo and went silent. Then asked how long it took. One evening. The kid described what he wanted to Claude Code, it wrote most of it, and he fixed the parts that looked wrong. The teacher had spent three weeks building a quiz app for the same class. It still had bugs. His mom filmed the class playing it. 17 seconds. Four girls jumping at the screen, racing to solve 5+10 and 6+8 before the timer died. Team 1 up 3 to 1. The rope dragging left. Pure chaos. She posted it to a parents’ group, someone shared it wider, and it hit 2 million views in a week. Schools across the province asked for the code. The kid threw it on GitHub. 400 forks in a month. Teachers in three countries now run it in their classrooms. The CS teacher runs it too. In his own room. The game his student built in one evening, the one he couldn’t build in three weeks. He tells the class he found a good educational tool online. The kid sits in the second row and pretends he’s never seen it before. His classmates learned Python from textbooks. He learned Claude Code from a 12 minute video. They ship 50 lines a week. He ships full apps in an evening. He got an A. Highest grade in the class. Then the teacher pulled him aside after the bell and asked if he’d show him how to use that AI tool. So now a 14-year-old is teaching his computer science teacher how to code. The teacher has a degree. The kid has a YouTube history and a GitHub with more forks than his teacher’s entire career. Same classroom. Same subject. Same Python. One learned it from a university. The other learned it from a stranger online and an AI that never asked how old he was. The game still runs in his school. The teacher still calls it something he found online. The kid still doesn’t correct him. He says it’s better that way. The game works fine when nobody knows a 14-year-old built it. Teachers take it more seriously when they think an adult did.

• 
  Allan Guerriero (@CCIE_24825) reported 41 minutes ago

  @valigo want to use this desktop app... go to github download the source and compile it and make sure you choose the right desktop when you ./configure --with-gnome --with-kde --with-xfce Also when you do it over and over watch the errors so you can identify which dependencies you are missing so you can download and install those through our nifty cli based package manager.

• 
  Ab. (@Abiodun0x) reported 41 minutes ago

  Github is buggy. Part of our issues today

• 
  Jerry Hathaway (@etubruton) reported 46 minutes ago

  @deepfates github for dotfiles, anything that I'd want to pull down to a random machine that I may or may not own. obsidian for notes. icloud for documents, pictures, etc. password manager for creds, ssh keys, and any highly sensitive notes and documents.

• 
  0xFF assemblydev(%rip) (@assemblydevyt) reported 46 minutes ago

  @5mukx Have you heard or tried codeberg .org ? I'm not sponsored or friend or anything with them, but some times ago I was using a project that would constantly get taken down from GitHub, but not from there. The alternative is to use gitlab or host your gitea 🫪

• 
  Evan 🛜 (@ubuto23) reported 47 minutes ago

  @sethlazar This idea, that the source of code matters less than its substance, is not a good argument for repositories permitting the use of AI to write committed code. First, if the source doesn’t matter, then credit shouldn’t matter either, so why should the developer prompting the AI be seeking the credit associated with accepted pull requests or merged commits? Just get the “code” out, by all means. If you want more attention, club together with the other folks who enjoy prompting AI-generated code and create your own isolated GitHub repositories, coding challenges, AI playgrounds, whatever you prefer. But don’t submit that code to mainstream open-source projects or repositories that explicitly or implicitly assume human-authored commits. Second, if the manner of coding doesn’t matter—who cares whether it’s AI or human?—then why use AI to produce your code at all? Simply write it the way you would have written it before advanced code-generating LLMs existed, when AI models weren’t sophisticated enough to substitute your coding efforts. You’re not losing contribution value for style; if you can’t code clearly and effectively, that’s a fundamental issue you should rectify rather than obscure behind AI-generated patches. Third, according to these coders, every AI-generated snippet or prompt deserves special respect. Just think of all these AI-crafted masterpieces floating among the detritus rightly rejected by maintainers and reviewers… But the reality is that the primary reason developers are turning to AI to write or complete their code is to save time. And because they’re saving time, they’re pushing low-quality or buggy code, leaving repository maintainers and code reviewers wasting precious hours identifying and fixing issues. Using AI to generate code contributions is simply laziness that imposes significant costs on the broader programming community. This critique doesn’t dismiss every productive way developers might leverage AI tools for their workflow—there are indeed many. Yet the least interesting, least valuable, and most irresponsible method is turning oneself into a ventriloquist’s puppet, committing code that you did not personally author and claiming credit for output scripted by algorithms rather than genuine human skill.

• 
  Bollish (@99_Bollish) reported 50 minutes ago

  🚨 $CUBIC ( 4f6GadxAPxvzZLVp7m2iGiJGZbxVbsAFjjQR5Vq2pump ) @CubicLaunch is doing the “no custody, fully on-chain, audited smart contract” thing on the front page, and then admitting the exact opposite 3 clicks later in their own docs. lol. Homepage, big letters: “Fully on-chain. No middlemen, no custody, the smart contract handles everything.” faq even says “We hold no custody of any funds at any point.” Now their own docs: “We generate a custodial launch wallet for you.” “Private keys are encrypted with AES-256-GCM and stored securely.” “The launch wallet becomes the creator, collecting fees.” “our system auto-claims them from PumpFun’s vault.” So read that again. They make a wallet, they hold the key (encrypted, sure, but they hold it), that wallet launches your coin, and every creator fee it ever makes lands in their wallet. that’s not “no custody,” Thats the most custodial thing possible. They have the keys to the thing holding all your money. “Audited smart contract, fully open source”? there’s no github linked anywhere on the site. No auditor named. No report. The docs and dashboard links in their own footer are dead #. there’s no contract to audit, it’s a server with a custodial wallet. And the actual idea is weird anyway. the fees don’t go to YOUR holders, they go to holders of whatever backing asset you pick. So back it with BONK and supposedly every BONK holder on earth gets a slice. Paying out pro-rata to a million wallets “automatically” is not a thing that happens. The “BONK avg 0.8 SOL/week” numbers are made up. So, custodial launcher pretending to be a trustless on-chain protocol, lying about custody on its own docs page, “audited” with nothing to show. If you launch through it you’re handing some anon the keys to your coin and all its fees. Hard pass for me. Read /docs yourself, it rats them out. Nfa.

• 
  Asher Crowe 🪺 (@ashercrw) reported 55 minutes ago

  Everyone who read my $18K/month breakdown filed it under "real estate side hustle" and moved on. That was the mistake. Watch this guy run the exact same free tool on fashion. On art. On food. On venues. The real estate playbook in the article was just the cleanest example to explain it with. It was never the ceiling. The tech is called Gaussian splatting. It's been sitting free on GitHub since 2023, open source, anyone could've touched it. The workflow is genuinely four moves: film your subject, orbit around it from every angle, upload the clip to Luma AI, and you get back a walkable 3D scene you can drop into any browser tab. On Luma you can add keyframes, tune the settings, export it however you want, even lay sound on top. That's it. That's the whole rig. A phone and a free account. My article broke down the money on houses: $300 to $900 a scan, roughly 2 million agents, almost none of them offering it, your first paying client done in person inside 11 days. But this video is the part I kept hinting at. The niche doesn't matter. A boutique selling clothes, a gallery selling a show, a restaurant selling the room before you book it. Same tool, same four steps, same gap nobody's priced in yet. The code was never the hard part. It's been free for two years. The people making money are just the ones who showed up with a phone first. That window is still open. For now. Bookmark this one. You're either early or you're somebody's case study. 👇

• 
  DazzP (@DJ1P2) reported 56 minutes ago

  @Bhavani_00007 Microsoft didn't ban AI coding; they swapped third-party Claude for their own GitHub Copilot CLI to control costs. Uber didn't ban it either. They just capped it at $1500 to stop agentic "tokenmaxxing." It's a budget fix, not an AI dead-end.

• 
  Subir Ghosh (@iamSubir14) reported 57 minutes ago

  @bizuiyannn @whisp2424 @heliumbrowser I also thought about that, So I just checked it... I opened the same websites (like: YT, X, github...) inside Brave and Helium And the result, Helium is taking 1GB of more RAM And it's also running some extra 4-5 tasks I don't know that is the issue...

• 
  WealthRewired (@wealthrewired8) reported 58 minutes ago

  @LearnWithBishal 57,000 GitHub stars in 120 hours is the part that stands out to me. Not the AI assistant itself. When developers adopt something that fast, it usually means it's solving a real problem, not just riding a hype cycle. Running locally, no account, no subscription, no cloud dependency. That's a combination a lot of people have been asking for.