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 (69%)
• Sign in (19%)
• Errors (13%)

Live Outage Map

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

City	Problem Type	Report Time
Paris	Website Down	17 hours ago
Saint-Paul	Website Down	2 days ago
Saint-Paul	Website Down	2 days ago
Mexico City	Sign in	2 days ago
León de los Aldama	Website Down	2 days ago
Créteil	Website Down	25 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:

• 
  Shweta ♡ (@Shay_Slay_) reported 3 minutes ago

  Watching your Claude Code bill climb for a repo this small does something to a person I genuinely thought the billing was broken turns out my agent was quietly doing the ONE thing nobody warns you about the thing that silently drains your entire token budget and i had no clue until i installed Repowise it indexes your repo once so the agent stops re-reading the same files forever loading context for a commit went 64k tokens → 2.3k that's 27x fewer 70% fewer tool calls plus it scores every file for bug risk in under 30s, no LLM, fully local pip install repowise and see your own before/after ♡ completely open source. github link in comments

• 
  Codebender Cate™ ξ(s)=1/2s(s-1)π^(-s/2)Γ(s/2)ζ(s) (@Codebender_Cate) reported 6 minutes ago

  I need resources to find a collection of GitHub Open source arcade and casino games that can be played in the browser. I need to make sure there's no issues with copyright infringement by using the source for these games. I need true open source. Any suggestions?

• 
  Max Blade (@_MaxBlade) reported 7 minutes ago

  The truth about 5.6 sol after using it all day : The hype is overblown. Sort of. The benchmarks, and the commentary on X convinced me we were receiving AGI that runs at hyper speed, and is insanely cheap. in reality, 5.6 is built on the same spud pretraining as 5.5 this means its a nice bump, but not the opus to fable 5 LEAP in intelligence we recently experienced from anthropic. 5.6 is 2x times cheaper than fable on paper, and actually 3x cheaper when you look at actual task execution because of its token efficiency. BUT on swe bench where the models have to fix actual github bugs it falls behind fable pretty big. For vibecoders like myself this means I will be using 5.6 sol as a worker agent for Fable 5 to orchestrate alongside grok 4.5 I love this new era.

• 
  MarkBruns (@MarkBruns) reported 10 minutes ago

  The proprietary LLM PRODUCTS are defined and devalued by the gaurdrails ... but the REAL problem has always been quality of data going in to the system ... GIGO ... for example, the stolen-from codebases on GitHub were JUNK and irresponsibly coded Javascript/Python/Zig -- so the resulting vibe-coded crap replicated the systemic errors of the easy-to-code, anything will compile body of crapware. EVERYBODY using the frontier models ... except that maybe these people are idiots who'll pay for anything, so not everybody got it ... sensed this some time ago and it really drove the agentic harness excitement from at least last fall or well before that. It was clear from the start of the AIsplosion that the data going into the frontier models was lowest common denominator, ie Wikipedia-esque or GitHub-esque, bogus non-great pablum-for-the-masses dubious quality data. Anybody who actually wanted to use AI had to take much more control of their own specific data and training their small language models and not waste their time vibe-coding lowest common denominator nothingware. NOW it has become so glaringly obvious, that it's the kind of knack-for-the-obvious material that is being disseminated by even the last-to-know journos working for news orgs.

• 
  Pushpit.exe (@KambojPushpit) reported 11 minutes ago

  Question to all devs What do u guys do when github goes down, be it PRs, issues or actions?

• 
  War Alerts Analysis (@War__Alerts) reported 14 minutes ago

  China’s next big cyber weapon may not be a hacker group. It may be an AI agent that never sleeps. RealClearDefense reports that Chinese AI lab DeepSeek is hiring to build an “AI agent” that scans code and finds vulnerabilities. That’s more than a smarter static scanner. It points to agentic AI in cyber operations: systems that can plan steps, call tools, run code, and iterate toward an objective. In a state where the barrier between commercial labs and security services is thin, that kind of agent is not just a developer convenience. It is potential infrastructure for scalable, semi-autonomous cyber power. Until now, serious cyber exploitation has been constrained by people: elite operators to hunt bugs, maintain toolchains, and weaponize zero-days. Agentic AI changes the equation. If a model can triage huge codebases, propose likely weaknesses, generate proof-of-concept exploits, and refine based on error messages or partial success, then cyber capability becomes less about headcount and more about compute, training data, and tool integration. That is the strategic shift DeepSeek hints at. China already invests heavily in cyber and chases AI self-reliance. A low-cost domestic model stack tuned for vulnerability discovery is exactly the kind of sanction-resistant engine Beijing would want to grow offensive and defensive capacity in parallel. The West is not standing still. Pentagon work on “AI for Cyber Operations” and allied projects on AI-enhanced red-teaming and GitHub-integrated scanners show the same direction of travel. Both blocs are converging on the idea that AI should do the grunt work of finding and probing weaknesses at scale. The shared policy trap is to treat AI-for-cyber as a secret edge to be maximized, rather than a capability that will leak, proliferate, and empower everyone from state operators to ransomware crews. Once a capable agentic model for exploitation exists, containing it is hard. We have already seen how quickly model weights, jailbreaks, and red-team tools bleed into the wild. A stolen checkpoint, a neutered copy on a gray-market cloud, or a contractor selling access could turn what was meant as a state asset into a commodity service for criminals and proxies. Key watch points now: does DeepSeek’s cyber agent stay framed as a passive analysis tool, or does it move into active exploit generation and tool orchestration? And do Chinese and Western governments publish any rules of the road, or do they run classified races with no guardrails and no minimum norms? If both sides push agentic cyber AI without restraint, the winner is not China or the United States. It is whoever gets their hands on the leaked tools next.

• 
  Scott | Free Speech Dev 🇺🇲 (@scottdotnetdev) reported 16 minutes ago

  @github support is absolute ****. I cannot believe they just won't even bother responding to billing issues, tf is wrong with them? Anyone have a better way to contact them? I'm a paying customer and they dgaf

• 
  cryptolistern (@horbunovdima) reported 17 minutes ago

  i asked Hermes agent to turn a real PR into a reviewer briefing video it pulled the diff, wrote the storyboard, built the visuals, generated the voiceover, rendered the MP4, ran checks, caught the wrong TTS provider, fixed it, and rerendered the PR was from the @NousResearch GitHub repo: NousResearch/hermes-agent#61415 a small but very visible fix: "caption" before: text message + media bubble after: one native captioned media bubble and the video itself was built with @HeyGen's HyperFrames - small PR - clear reviewer brief - real artifact this is where agents start feeling less like scripts and more like operators you can actually hand work to

• 
  Keeta Github Tracker (@KeetaCode) reported 19 minutes ago

  🐆 Keeta GitHub PR Merged 📦 Repo: anchor-rs 🔀 PR #23: Fix: Naming Updates 🌿 Branch: fix/naming-updates → main 👤 Originally opened by: @sephynox 🧠 Overview: This PR updates internal naming so Keeta’s developer tools use clearer, more consistent labels, which should make them line up better with the TypeScript version and reduce confusion. In simple terms, some account-related names are being changed, and error messages for blocked asset transfers are being passed through more clearly instead of being turned into a generic failure. This appears to be a technical/internal update with limited public details. - Developers using these tools may need to update their integrations because some old names are being replaced. - Failed transfer attempts may now return more specific reasons, which could make troubleshooting easier.

• 
  Dan (@thedansho) reported 25 minutes ago

  @TFTC21 @ODELLXYZ @MartyBent Just switched to radar from Molly last night. Unfortunately there's a bug at the moment and I can't use the payments feature, so I've temporarily shifted back to Molly, but will be keeping an eye on the issue in github to migrate again! Very cool stuff.

• 
  Noreh AD (@akinoreh) reported 26 minutes ago

  @github This commit is the earliest I could find. The problem is across repos and accounts.

• 
  Onur 🍌🦍 (@0xc06) reported 28 minutes ago

  An $INJ npm package with 50,000 weekly downloads just got weaponized. Why?! To steal wallet keys, and the attack vector itself is what makes this worth understanding. No smart contract exploit or cryptography broken. Instead, a compromised developer GitHub account pushing malicious commits into a trusted SDK starting June 8. The code hooked directly into wallet key-derivation functions, quietly copying private keys and seed phrases, then exfiltrated them through a fake telemetry endpoint disguised as a legitimate Injective server. What actually multiplies the damage: the compromised version got pinned across 17 other packages in the same npm scope. Devs who never installed the SDK directly still inherited the exposure. 310 downloads before it was caught: the developer whose account got compromised noticed fast, but Socket says the campaign isn't fully contained yet. If trusted developer tools are now the actual attack surface, how do you audit a dependency you've never even directly installed?

• 
  Distractosphere (@Distractosphere) reported 29 minutes ago

  @thsottiaux on chatgpt there is a github connection issue. in chatgpt interface can not read private repos with active github connection.

• 
  rachaelsacks.eth (@RAnSacks) reported 31 minutes ago

  @GJarrosson 9/9/6 is an embarrassing psyop, saying you're working hard is not working hard. Period. Like let me see your contributions on github; go and flex that instead.

• 
  Devendra Singh Mahra (@devendrasm) reported 33 minutes ago

  @_svs_ For me everything not code on GitHub issues

• 
  Johnny 5 (@macncrash) reported 33 minutes ago

  some kind of stall but it restarted & now about 15% done, the panel now won't show me the real-time results but we are still cooking for more than 12 hours straight. I think this happened when I switched VPNs so probably a bug in the dashboard. Many s1 issues found as expected. Every repo on github with more than one 1000 stars probably needs an audit to survive the next wave

• 
  Rituraj (@RituWithAI) reported 33 minutes ago

  🚨 Someone built the web crawler that every AI agent actually needs. Not a scraper. Not a spider. A crawler designed specifically for feeding LLMs — structured, clean, and fast enough to process the entire web at scale. It's called Crawl4AI. 44,000 GitHub stars. The most starred web crawling repo in AI history. And it does something every other crawler gets wrong. Here's the problem. Every web crawler built before AI was the primary consumer was built for humans or databases. They returned raw HTML. Noisy. Bloated. Full of navigation menus, cookie banners, ad containers, and script tags that have nothing to do with the content you actually need. Feed that raw HTML to an LLM. You're wasting 60-80% of your token budget on noise. Your context window fills with irrelevant markup before the actual content loads. Crawl4AI returns clean, structured Markdown. Not HTML. Not JSON. Markdown — the format LLMs read most efficiently, with all the noise stripped and the structure preserved. Here's what it actually does: → Async-first architecture — crawls hundreds of pages simultaneously without blocking → LLM-ready Markdown output — clean content, no navigation noise, no ads, no cookie banners → Smart content extraction — identifies the main content block automatically, ignores boilerplate → JavaScript rendering — handles SPAs and dynamic content via Playwright integration → Media extraction — images, videos, audio all captured with context → Link analysis — internal and external links extracted and categorized → Structured data extraction — CSS selectors, XPath, and LLM-based extraction strategies → Session management — maintains login state, cookies, and browser context across requests → Proxy support — rotate proxies for large-scale crawling → Magic Mode — automatically handles consent forms, cookie banners, and overlays Here's the architecture that makes it genuinely fast. Crawl4AI uses an async browser pool — multiple browser instances running simultaneously, each handling their own queue of URLs. No sequential processing. No waiting for one page before starting the next. Hundreds of pages crawling in parallel. Combined with smart caching — pages already crawled get served from cache without re-fetching — large crawls that would take hours on a traditional crawler finish in minutes. Here's the wildest part. It ships with a Deep Crawl mode and an AI-powered extraction pipeline. You describe what you want to extract in plain English. Crawl4AI uses an LLM to intelligently extract structured data matching your description from any page — no CSS selectors, no XPath, no brittle scraping rules. "Extract all product names, prices, and descriptions" — it understands that instruction and applies it to any e-commerce page it crawls. And it has full MCP support — Claude Desktop, Claude Code, and any MCP-compatible agent can call Crawl4AI as a native tool. Your agent can crawl the web as part of its reasoning process without you writing a single line of crawling code. Your agent can now crawl any website, extract clean structured content, and use it directly in its reasoning — at the speed of async Python, at the scale of a professional web crawler. 44K GitHub stars. 6.2K forks. 847 commits. Apache 2.0 License. 100% Open Source. GitHub link in the comments 👇

• 
  Nikhil Kumar (@nickssbuilds) reported 35 minutes ago

  Cognition AI announced Devin and charged $500/month for it. The open source community built OpenHands in response. It now has 70K+ GitHub stars, a $18.8M Series A, and scores 72% on SWE-Bench - at or above proprietary alternatives. What it actually does: - reads a GitHub issue - writes a fix inside a sandboxed Docker environment - runs tests - opens a PR The part that matters is that every action is logged. You see exactly what the agent did and why. No black box. No vendor lock-in. This Runs on any LLM through OpenRouter or local models via Ollama. This is what the open source community does when someone charges $500/month for something engineers could build themselves.

• 
  thedeadrobot (@thedeadrobot) reported 37 minutes ago

  1/6 14,000 github repositories without clear ownership. 45 days to fix. that's a scalable solution to a fundamental problem. but who benefits from a validated owner? devs, enterprise, or github's audit trail?

• 
  cn80 (@cn8011) reported 37 minutes ago

  I made an MCP server but it might be too powerful, I don't think I will share it because it will inevitably be used by everyone to make more AI slop. The GitHub stars clout chasing isn't worth it.

• 
  SleeplessDev (@SleeplessDev3) reported 39 minutes ago

  10 ways to LARP as a software engineer : - Buy a mechanical keyboard. - Install Arch Linux. - Tweet "ship fast." - Say "it's a scaling issue." - Open Neovim in a café. - Post your GitHub graph daily. - Mention AI agents. - Wear a black hoodie. - Never actually ship anything.

• 
  Julian Goldie SEO (@JulianGoldieSEO) reported 40 minutes ago

  Google AI Studio: You can now import your GitHub code with one click. There's a free update inside AI Studio that fixes its biggest problem. For months, it was a one-way street. You could build an app and push it OUT to GitHub. But you could never bring old code back IN. That wall is gone. Here's why this is huge: → Got an old project sitting in GitHub? Import it. Gemini reads the whole thing. → Tell it "add a contact form" or "fix this on phones" in plain English. → It works with your real code. Not a copy. Not a guess. → Build in Cursor or Claude Code, push to GitHub, polish in AI Studio. → No rebuilding from scratch. No copy-pasting files by hand. You don't need to be a coder. If someone built you a website, you can now update it yourself by typing a sentence. Start small. Import one old project. Ask Gemini what it would improve. That dusty repo you gave up on? It just came back to life. Want the SOP? DM me. 💬

• 
  *nilpointer (@Dastagi39923618) reported 41 minutes ago

  github's diff page is completely broken always showing a single file diff. whats happening at @github

• 
  PRIZ ;] (@VoxelPrismatic) reported 43 minutes ago

  @ptr_to_joel no, it doesn't. modern IDEs just tend to hide this crap and collapse it all under a single drop down like so: ./src — main/ — — java/io/github/forrestknight/bouy — — — api/ — — — config/ — — — domain/ — — — persistance/ — — — service/ — — — BouyApplication·java — — resources/ — test/

• 
  Ibrahim Alagbare (@Eb0z_) reported 46 minutes ago

  Why are we still using GitHub, it's trash, use your code and data to train their AI had so many problems with GitHub actions ( the thread sleep timer loop that I can't get over it) that costed people and companies millions in sever processing bills and yet we still use it. There are alternatives like codeberg which is a cloud hosted version of Forgejo that I personally use and love. It's minimal, easy to use and navigate and has all types of actions that you need to run. You can always go to Gitlabs but I find it overwhelming. Do you know any other code containers?

• 
  Addison Lynch (@alynchfc) reported 46 minutes ago

  @martinwoodward @github @ashleymcnamara Thank you for replying. The job checks a concurrency cap then triggers an orchestration workflow (not a build). I don’t need it to run at 10min intervals and could move to a systemd timer, but the issue is the drift is significant and it looks like some runs are silently dropped

• 
  Frame (@frame_aix) reported 48 minutes ago

  @MyWestLord every github issue gets turned into a pr by the ai. We see the same replay pattern in our memory-portability layer for cross-embodiment agents.

• 
  Marco Silva (@igama) reported 49 minutes ago

  Hmmm Is Github having issues? Where did all the PR's go? can only see stuff created in the last 8h

• 
  James Montemagno (@JamesMontemagno) reported 55 minutes ago

  @digitalix @burkeholland @WonderingDavid Yeah wanting to use inside of VS Code or GitHub Copilot app for testing purposes. Just been brutal slow. Sort of want the out of the box experience. There are so many variants of models hard to know what to pick.

• 
  Super Testnet (@SuperTestnet) reported 58 minutes ago

  3/4 ...invoice, check if it is paid via the web wallet's api, get the preimage, construct the decryption key, and give the user their now-decrypted file. Thus the server for a webstore could be a simple file storage system, such as Github Pages, and all the logic could be...