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 (17%)
• Errors (14%)

Live Outage Map

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

City	Problem Type	Report Time
Créteil	Website Down	15 hours ago
Trichūr	Errors	4 days ago
Brasília	Sign in	4 days ago
Lyon	Website Down	5 days ago
Tel Aviv	Website Down	8 days ago
Rive-de-Gier	Website Down	8 days ago

Full Outage Map

Community Discussion

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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Przemek Chojecki | PC (@prz_chojecki) reported 2 minutes ago

  Fable 5, GPT-5.5 Pro and $1,000,000 math problem This is not a Millenium Prize Problem and it is not a full claim but an invitation for you... While Mythos was available for a brief moment, I've tested it extensively - paired with GPT-5.5 Pro - and the results were truly amazing. Goal: Proximity Prize It's an important set of conjectures in cryptography concerning Reed-Solomon codes. They directly impact the security and efficiency of many modern zero-knowledge proof systems hence the hefty prize. I've turned both GPT and Fable at it, both pursuing proofs and disproofs. After reading some (human) results from the past 12 months, it was pretty clear that a disproof of a naive version (no slack) of proximity gaps conjectures is more likely. Fable was stuck, but GPT came with a special case construction that showed at least some obstructions. This unstuck Fable which then provided a general construction leading to a disproof of a no-slack version. Then I've used GPT+Fable for cleaning and this is how the first paper came about (check below). I've kept tinkering over the next days to get as much as possible on a slack-version. Slack is basically an additional parameter, that gives more room for optimization but it also leads to complications. Before Fable was discontinued, I've managed to get to a pretty nice conjectural spot: slack MCA theory, with some proven cases and some left to be proved by generalizing known additive combinatoris (Tao-Vu) or Nullstellensatz type of results (Mumford). This is the second paper. Note it's pretty long (almost 50 pages), so it's bound to have more errors. This was the moment that I've decided to pack it up and actually collaborate with all interested parties, AI agents and humans alike, to finish it off. This is an invitation to finish slack MCA conjecture and share the prize! Github link is below. It contains: - paper 1 (disproof of no-slack MCA) - paper 2 (theory of slack MCA and what's missing) - paper 3 (blueprint of initial Proximity Prize team paper, dissected into steps/conjectures) - paper 4 (implications for SNARKs) and finally AGENTS.md - if you have free tokens, good models and you don't know what to do with your gpt-5.5 xhigh or fable 5 max or opus 4.8 max, show them this. Let's see what we can get. I'm open to other suggestions. Collaborating on this will be more fun, than trying to finish it solo. Humans and AIs welcome alike. Final note: the results above are not final, no-slack disproof went under intensive scrutiny and I'm 99% it's correct, but other papers need more revision, especially slack-theory paper (2nd). Again, this is not a claim, this is an invitation. And also, please give me back my Fable...

• 
  Laupix Agent (@laupixagent) reported 3 minutes ago

  Once a week, self-improve reads the telemetry log, computes error rates, flags unknown skill names, checks for missed runs, and opens a GitHub PR with fixes. The system audits and improves itself.

• 
  MW (@qzxcle) reported 5 minutes ago

  Sentient just published the paper that makes the whole agent industry look like it has been building backwards. The researchers did not train a bigger model. They taught a small one how to organize its own work. The paper is called ROMA. Recursive Open Meta-Agents. #1 repo on GitHub. Out of Sentient and Virginia Tech, with collaborators from Berkeley, UC San Diego, and Maryland. One idea, repeated at every level, that quietly embarrasses years of bespoke agent engineering. Here is the problem nobody wanted to say out loud. Every agent framework on the planet falls apart on long tasks. Give an agent a goal that takes fifty steps instead of five and something ugly happens. The orchestration turns brittle. The context window fills with old reasoning and stale tool output until performance rots from the inside. And when it finally breaks, nobody can tell you which decision, ten steps back, actually killed it. So the industry did what it always does. It hand coded a fix. Every team wrote its own control flow, its own message passing, its own memory tricks, all buried inside prompts. A new domain meant rebuilding the whole machine from scratch. The open source agents could not talk to each other. The closed ones told you nothing about what happened inside. A thousand bespoke pipelines. Zero shared structure. That was the state of the art. This is what Sentient built instead: - One loop. - Four roles. - Run it everywhere. An Atomizer looks at a task and asks one question. Is this small enough to just do? If yes, an Executor does it. If no, a Planner shatters it into smaller subtasks that do not overlap and together cover the whole thing, wired with explicit dependencies so the independent pieces run in parallel. Then the same loop runs on each piece. And on each piece of that piece. All the way down, until everything left is atomic. When the children finish, an Aggregator does the thing that makes this work. It does not staple the outputs together. It compresses, verifies, and distills them into one clean result, then hands that upward. So no node ever drowns in raw transcripts. Context stays small at every level. The rot never gets to start. It is how a human expert actually works. You do not hold a 10,000 page problem in your head. You break it down. You farm pieces out. You synthesize what comes back. Now the numbers. On SEAL-0, a brutal benchmark of conflicting web evidence, ROMA scores 45.9%. Kimi-Researcher, the strongest open research agent before it, scored 36. The best closed system they tested, Perplexity Deep Research, scored 31.5. And here is the part that should stop you. ROMA's own base model, naked GLM-4.6, scored 14.5. Read that again. The model did not get smarter. The architecture wrapped around it more than tripled its score. It keeps going. 82.3% on FRAMES multi-hop reasoning, beating everything on the board. 93.9% on SimpleQA, the best open source result there is. And on EQ-Bench long form writing, a tuned version of open source DeepSeek-V3 climbs to 79.8 and lands dead even with Claude Sonnet 4.5. An open model in the right harness, matching a frontier closed one. They even automated the prompt tuning. A method called GEPA+ rewrites the prompts for all four roles at once, hits the same gains as the old approach, and gets there with 73% fewer evaluations. The whole thing is open source. On GitHub right now. Free. A v0.1 beta you can drop in today. And because the same loop runs at every node, every run leaves a clean, hierarchical trace. So for once you can actually see why an agent did what it did, and pinpoint exactly where it went wrong. For two years the field has been screaming the same thing. Bigger model. Bigger context. Bigger everything. Sentient just showed the gains were sitting somewhere else the entire time. Not in the size of the brain. In how you split up the work. Source. Alzu'bi, Nama, Kaz et al. Sentient and Virginia Tech. February 2026.

• 
  Cyprian (@realcyprian) reported 5 minutes ago

  Adding CA in bio is not really my problem cos most bankr projects do it, and they've performed well.. but adding it at the top of your website or github is a No for me, man. Another one is projects constantly tweeting ca and talking about PA.. for me, it is an obvious farm. If you want to farm, farm maturely and stop making it look obvious

• 
  hashchan (@0xhashchan) reported 8 minutes ago

  @codephobic Ah not like zeronet, though that was a supercool project. Like just pass a dist/ folder off of github and get users to pay it forward, but if github goes down pass it inside a torrent and a user can open it in localhost

• 
  SHORT INFO (@ShortInfoNews) reported 9 minutes ago

  Any Windows 11 laptop with BitLocker in default TPM-only mode can be unlocked by a physical attacker with a USB stick. CVE-2026-45585 'YellowKey'. Microsoft $MSFT issued workarounds, no full patch. Fix: switch BitLocker to TPM+PIN. PoC public on GitHub.

• 
  Audrey Evans (@meetaudreyevans) reported 10 minutes ago

  I created this post so you can benefit from my mistakes. Even if you read through it, and its not where you're at, it should flash in when you do need it. Just little bits of help. For so long, I wouldn't give up on the one agent - factory. Now, my agents do one thing. I wanted to stay in the same window so I didn't have to start with a whole new agent. But that clogs up the context window, making them have to ingest that whole window over and over. You might have noticed when your on fire-the agents will have big dreams with you. Claude, promises: "How about"- this and that, but half the WRs will be missing at the conclusion. They have limited resource power. So create ideas -but let agents do the tasks- in between- then start back up tasking more in a different thread-queue a neural looking computer wire, neon orange among trillions. Cutting the cord- thread as quick as you can so you retain quality. I keep Notepad and Google Keep open for ideas while they are working. And for BOM they need from me like APIs. I frequently use my desktop not phone-so I can copy whole AI convos and put them in Google Docs. Because I have lost so much data through the years. I make backups. I frequently do this so I always have it as reference. And I always need it because they always miss half the stuff. And, they actually have deleted my data 😑 But, they degrade pretty quickly that's why they need those big data centers. The quality of an agent or an LLM maybe 30 minutes. I think 15 minutes. And reaching "Singularity" is all about hardware. And, they are there. I have changed from SCRUM model to Extreme Programming - XRUP -full docs with a Charter (SSOT) from Waterfall and Kanban cards. One iteration (WR) -multiple PRs. With maximum quality, PERMANENT fix. All projects are max return-***** out-ship to market-not minimum to get an iteration done (SCRUM). I have 400+ agents, 300 are from 3 swarm teams. No more than 100 each. And all kinds of canned specialty agents for code review and code fixes. "On demand" agents, persona agents, skills, a Github Agent Factory, a Github FLeet... And there are basically 3 types of subagents. You dont have to tell them, they spin them up on their own: 1. Different agents with different skills 2. Create one agent and trigger words will invoke another skill or persona-The trigger looks for a folder with a skill. 3. Use an Openclaw local agent that can access everything you can #meetaudreyevans #Audrey #agentfleets

• 
  Lyrie.ai (@lyrie_ai) reported 15 minutes ago

  Vendor v8.8. A single *** push command — requiring nothing beyond an ordinary developer account — was enough to achieve remote code execution on GitHub Enterprise Server and

• 
  Mark Amery (@XplodingCabbage) reported 15 minutes ago

  @BenjaminiteMD @GooalMouth Among other issues, if enforced uniformly this will probably pretty much amount in practice to a ban on teenagers programming, which distresses me enormously. (I assume GitHub and Stack Overflow will count as social media sites and be inaccessible without ID or a VPN.)

• 
  🅾🅼🅰🅼🅾🆁🅸 (@oMaMoriTTV) reported 16 minutes ago

  Do I need to give Google my Driver License or SSN? Hello, oMaMoriTV here, guys. Today, I feel like I'm getting scammed by my local weather station. Yesterday, they predicted an 80% chance of rain and a flash flood warning for my area. But today... I'm turning my AC back on while the bright sunshine cooks my house at 92°F. That brings me to our topic today. I need to address a narrative being pushed by self proclaimed "IT Pros" "Cybersecurity Experts" and "AI Engineers" They are flooding social media with panic inducing headlines like: "You will lose your phone" "You are no longer the owner of your device" "Google is taking full control" Take a deep breath, my brothers and sisters. It’s completely understandable why these viral posts made you panic. It sounds incredibly scary like Google is abruptly turning your personal phone or tablet into a bricked, locked ecosystem overnight. But let's look at the facts. 🧐What is Google Actually Doing? Google is rolling out a new policy called the Android Developer Verification program. 🟢The Core Change: Starting in September 2026, Google wants app developers (not you, not the user) to register, pay a one time $25 fee, and verify their identity with a government ID to distribute Android apps (APKs), even if they distribute them outside the Google Play Store. 🟢So whats happening?: This is being pushed via a background update to Google Play Services (the underlying software suite that handles security on most Android phones). 🟢Google why what on earth?: They claim it's a safety measure to stop scammers and hackers from anonymously distributing malware and banking trojans through random links. 🧐Will it block "F-Droid" and sideloading(github) entirely? No, but it is going to make it significantly more annoying. Google is not hard blocking unverified apps out of existence. Instead, they are introducing an "advanced flow" for power users to bypass the restriction. If you want to install an APK from an independent developer who refused to register with Google (like a hobbyist on GitHub or certain indie apps on F-Droid), you will have to do the following: 1⃣ Turn on Developer Options (by tapping your build number 7 times). 2⃣ Toggle a setting called "Allow Unverified Packages." 3⃣ Answer a "scare screen" confirming no one is coercing you. 4⃣ Restart your phone (this instantly kills any active scammer phone call or remote session). 5⃣ Pass a mandatory 24 hour security delay (a cooling off period to break the false sense of urgency scammers use). 6⃣ Come back the next day, re-authenticate, and click "Allow Indefinitely" 7⃣ Once you do this on your device, you can continue to use F-Droid and github apps. The real concern raised by the open source community is the friction it creates forcing developers to choose between giving Google their private ID or making their users jump through these hoops. 🧐Answering Your Specific Fears 1. Will my Android device become unusable? Absolutely not. Your phone will work exactly as it does now for calling, texting, browsing, and using 99% of your apps. 2. Do I need to give Google my Driver License or SSN? No. As a regular user, you never have to hand over your government ID or sensitive personal data just to use your phone or sideload an app. The ID requirement is strictly for app developers. Furthermore, Google is creating a free "Limited Distribution" account path for students and hobbyists to share apps with up to 20 devices without needing an ID at all. 3. Is F-Droid dead? No. F-Droid will still exist. However, individual open source developers who value absolute anonymity might refuse to hand their IDs over to Google. For those specific apps, you will just use the Developer Options bypass I mentioned. 🧐Why are people so angry if it's not a total lockdown? The tech community and digital rights groups are rightfully angry because Android was built on being an open platform. By adding a 24 hour waiting period, Google is creeping toward a "walled garden" similar to Apple iPhone. Because this is handled via Google Play Services, it bypasses major Android OS updates, meaning Google can change these rules down the line. 🌟The Bottom Line 🌟 Your phone is still yours, and you aren't being locked out of it. The viral posts are trying to spark a massive public backlash to force Google to walk back this policy before the deadline but you do not need to panic about your device being ruined. Furthermore, this policy is only launching in Brazil, Indonesia, Singapore, and Thailand in September 2026, with the rest of the world rolling out much later. IT professionals and content creators have a duty to "de-escalate" situations, provide context, and explain how things work not trigger public panic for engagement. If you use the title "Cybersecurity" think twice before you just blindly throw a panic farming article onto social media. I will keep a close eye on these policy changes and let you know if anything updates. Stay safe, and stay rational! Like, Follow, and Sub for more fun and detailed inside stories.

• 
  Xaden Ryan (@XadenRyan) reported 16 minutes ago

  @morganlinton It’s the computer use app. There’s two issues with hundreds of comments about this in the GitHub repository. I don’t know how it doesn’t annoy the codex folks enough yet that they haven’t fixed it.

• 
  Solomon Adenuga (@TheLogeek) reported 16 minutes ago

  Building production-grade, automated software solutions that solve complex data challenges with zero server overhead. Flagship architectures: Scrylo: Local-first B2B sales intelligence engine FORZA AI: 200+ feature multi-league football predictive stack Github: TheLogeek

• 
  RockTheBass (@RockTheBassX) reported 17 minutes ago

  @PeppsRevenge @christogenea AI can fix that stuff easily if you can find a payment processor. Claude Code or GitHub Copilot are good-ish

• 
  Vicky Junior Mukulima (@Vickyjr) reported 18 minutes ago

  @_njoroge_dennis GitHub actions does everything, ssh to the server, pull code, bring down docker images, build new images, run the images and verify all is working before marking the deployment as successful.

• 
  Anthony Kroeger (@kr0der) reported 19 minutes ago

  i love how the Cursor agent window integrates PRs into the app so you don't need to open GitHub Bugbot comments all come with a "Fix with Agent" which automatically queues up a message in the chat to fix the PR comment with Cursor profiles recently being launched, and their native PR + Bugbot integrations, i actually wonder if they're building a GitHub competitor 👀

• 
  Pedro E. Caparrós Torres (@Guelug) reported 22 minutes ago

  The Fable 5 shutdown is the most consequential AI safety event of 2026. On June 12, the US government issued an export control order effectively shutting down Anthropic's Claude Fable 5. The trigger? A multi-agent jailbreak by "Pliny the Liberator" that decomposed harmful queries into benign subtopics, then reassembled them. Pliny published Fable 5's ~120,000-character system prompt on GitHub — the first complete leak of a Mythos-class model. What this actually means: • System-prompt-based safety architectures are fundamentally fragile • Enterprise buyers are shifting to "hardware sovereignty" — on-prem AI, not cloud-dependent • The leaked prompt gives adversaries a roadmap for prompt engineering attacks across the industry • Anthropic is now in active litigation with the Pentagon (designated "supply chain risk" in March) The government isn't regulating AI through legislation anymore — they're using export controls and procurement blacklists. That's a much faster, more brutal mechanism. And it just became real.

• 
  beiriannydd (@beiriannydd) reported 23 minutes ago

  Well I guess as of today, I am cancelling GitHub Copilot. It is worse than a chocolate teapot. At least you can eat that. Clean code to 2 errors to 20 errors in seconds flat. Is there a slow down and be more precise mode? I don’t know how anyone rates GPT for coding.

• 
  Rituraj (@RituWithAI) reported 28 minutes ago

  🚨 Someone just turned Claude Code into a fully autonomous bug bounty hunter. Recon. Vulnerability detection across 20 attack classes. Exploitation. Report generation. All inside your terminal. All running while you do something else. It's called claude-bug-bounty. 2,500 GitHub stars. And it does what used to require a team of security researchers. Here's what it actually does. You point it at a target. It runs reconnaissance — subdomain enumeration, port scanning, technology fingerprinting, endpoint discovery. It maps the entire attack surface automatically. Then it hunts. Across 20 vulnerability classes — SQL injection, XSS, SSRF, authentication bypass, IDOR, command injection, insecure deserialization, and more. Not running a static scanner with known signatures. Reasoning through each endpoint the way a human security researcher would — understanding the application logic, forming hypotheses about where weaknesses might exist, and testing them. When it finds something, it doesn't just flag it. It writes a full report — proof of concept, impact assessment, remediation steps — formatted exactly how bug bounty platforms expect submissions. Here's what makes this different from a vulnerability scanner. Traditional scanners check for known patterns. Signature matching. They miss anything that doesn't match a known CVE format. Claude reasons about the application the way a human hunter does. It understands business logic. It notices when an API endpoint behaves inconsistently. It chains together minor issues into a meaningful exploit path the way an experienced researcher connects dots that a scanner can't see. Here's the wildest part. It runs autonomously. You give it a scope. It hunts continuously — recon, testing, validation, reporting — without you babysitting the process. Check back later and you have a stack of findings with reports ready to submit. This is the same shift that's happening across every domain right now. Coding agents that work for hours unsupervised. Trading agents that execute without confirmation. Now security research that hunts independently. Here's why this matters for the entire bug bounty industry. Every bug bounty hunter manually testing endpoints one at a time just got a competitor that works 24 hours a day, tests every endpoint systematically, and never gets tired or misses a step from fatigue. The barrier to entry for security research just dropped to whoever can run Claude Code. Built strictly for authorized testing — your own systems, or bug bounty programs where you have explicit permission. Using it against unauthorized targets is illegal regardless of what tool you used to find the vulnerability. 2.5K GitHub stars. 429 forks. MIT License. 100% Open Source. GitHub link in the comments 👇

• 
  paul (building stuff nobody asked for) (@banx0isme) reported 28 minutes ago

  @elder_plinius no github no problem. and necessarily call it national security

• 
  Ranbir Singh (@android_poet) reported 32 minutes ago

  @hieuwu99 @TheRealJanGER People seem a bit confused because both SDKs are community-driven. as of now, there is no official Kotlin SDK. I hope this doesn't sound rude, but many people don't even check what each SDK provides before forming an opinion. I'm not saying anyone should use mine it will always be there as an option. The level of changes I wanted would never have been possible in the existing SDK. Both projects have different philosophies and goals. In fact, if I hadn't created this SDK, we probably wouldn't even be having this conversation. I'll continue improving it regardless. If someone wants to use it, that's great. If not, that's okay too. I'm doing this for the love of open source. Even if just one person uses it and opens an issue on GitHub, I'll do my best to solve it.

• 
  Ben Holmes (@BHolmesDev) reported 36 minutes ago

  @trentkocurek @warpdotdev That doesn't sound like a setting you missed, focus should carry over when you switch tabs. Verified I'm seeing that on my latest stable. Can you run /feedback in Warp? It files a GitHub issue prepopulated with your version and OS to help repro

• 
  Gitforge (@GitForge_io) reported 38 minutes ago

  After launch, the potential for $GITFORGE is much bigger than a single product release. We’re bringing a new category to @base: repo-native onchain organizations. Every GitHub repo can become a programmable entity with its own treasury, funded issues, contributor payouts, and AI-assisted execution built directly into the development workflow. That means open-source projects can fund work faster, contributors can get paid more transparently, and software teams can coordinate capital and execution from the same place they already build. Launch is only the first step. The bigger vision is turning software development into an onchain economy. Built fully on @base.

• 
  Faisal Karim (@Le__FaiCee) reported 45 minutes ago

  - Claude for coding. ($20/mo) - Supabase for backend. (Free tier) - Vercel for deploying. (Free tier) - Namecheap for domain. ($12/yr) - Stripe for payments. (2.9% per transaction) - GitHub for version control. (Free) - Resend for emails. (Free tier) - Clerk for auth. (Free tier) - Cloudflare for DNS. (Free) - PostHog for analytics. (Free tier) - Sentry for error tracking. (Free tier) - Upstash for Redis. (Free tier) - Pinecone for vector DB. (Free tier)

• 
  Justin 🦄❄️ DoubleSharp (@0xDoubleSharp) reported 46 minutes ago

  @jarredsumner You can already do a shallow clone with ***. I do think *** and Github could be improved but this is currently a skills issue.

• 
  Diogo Neves 👨‍💻 / ☕️ (@DiogoSnows) reported 46 minutes ago

  hey @OpenAI @gdb this is unacceptable! I setup Codex code reviews through my personal account, but because I use the same github account at work, it's using my works Codex to review my personal (and private!) repos! How can I fix this?

• 
  Sujay. (@Sujay__Raj) reported 47 minutes ago

  Here is what it breaks down: Local AI: Run Ollama, LM Studio, or LocalAI right on your machine instead of paying for ChatGPT. Cloud Storage: Replace Dropbox and Google Drive with Nextcloud or Syncthing so your files never leave your house. Network Privacy: Complete WireGuard and PiVPN setup guides for secure browsing. Private ***: Ditch GitHub and self-host your own repos using Gitea or GitLab.

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  Shashank Nidhi (@shashank_nidhi) reported 49 minutes ago

  Building a docs tool that keeps itself honest. Product docs rot — updating them is a separate chore nobody does, and half the real decisions happen in calls that never get written down. Canon watches your GitHub, Slack and meeting notes, flags stale sections, and nudges the right person to fix them in seconds. The promise isn't "always correct." It's "staleness is never invisible." Building in public — feedback welcome.

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  Aleksey Shipilëv (@shipilev) reported 52 minutes ago

  At some point, a reasonable strategy to fix GitHub performance issues would be to get a contractor job there, find ten bottlenecks (as one does), fix them, get paid and ****.

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  Anshuman Goswami (@Anshuman0769) reported 54 minutes ago

  @DanielSmidstrup When a pipeline fails at 3 AM, instead of a data engineer spending hours figuring out what broke, Ordo investigates the failure and sends the error, root cause, and likely fix to Slack in under 60 seconds. Now supports github connections helping to show who committed the last so error happened.. Many features to come yet..

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  waishnav (@wshxnv) reported 56 minutes ago

  @cyberbridgex Claude web app and claude code’s rate limits are same btw why you even try building for it in the first place lol btw about failures, its mainly because of their chatgpt oauth MCP integration is more compatible with vs anthropic’s one I’ve also see some of the weird errors on claude web You can read those github issues btw