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 (57%)
• Errors (30%)
• Sign in (14%)

Live Outage Map

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

City	Problem Type	Report Time
Inverness	Website Down	5 days ago
Quito	Sign in	5 days ago
Junín	Errors	5 days ago
Guadalajara	Errors	5 days ago
Paris	Website Down	5 days ago
Quito	Errors	5 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:

• 
  𝕘 𝕥 𝕨 𝕪 (@Gtwy) reported 11 minutes ago

  @congressdj @bot half of the connectors on grok bot don't work spent two days using it to write it's own software instead of using the connectors then realized i could use it to stand up a better system entirely that runs over grok code that connects to everything with no issue still use grok bot for heavy software development but other than some ssh gets and github i have zero motivation to connect it to anything else now

• 
  Kahris (@chrissotraidis) reported 11 minutes ago

  @tossthesalad420 @tossthesalad420 what problems are you having? Submit an issue on Github or lmk here. It should work.

• 
  Harry Tormey 🇮🇪 | 🇺🇸| 🇺🇦 (@htormey) reported 12 minutes ago

  A lot of people are trying to sell enterprise AI products to VCs. Everyone from Notion to Linear, for example, seems to want to be my AI orchestration layer. Meanwhile, a lot of the actual problems we’re hitting using AI at scale are much less glamorous: GitHub falling over under load, test runners becoming bottlenecks, desktop OSes being too slow for agentic workflows, and figuring out how to run CI and E2E tests at agent scale. VCs aren’t operators, so I think there’s a growing disconnect between what sounds like an enterprise AI problem and what actually is one.

• 
  Neha Sharma (@hellonehha) reported 12 minutes ago

  @neembu_paani31 This is not true. Faang companies: Google: behind gemini, webMCP and Ik how much they do internal marketing and dogfood of new tools Microsoft: they were in news for openAI amd recently when they budget claude for engineers Amazon: i worked at amazon and we have mcp, and AI push. There is unlimited budget of tokens, kiro, claude, codex access. We almost every week get surveys on - is your team is AI empowered or not. Jira, github etc all are Ai empowered. It is a LIE they don’t know what it is. This is not faang/mnc problem. It is problem of an individual… forget company. Are these people don’t even follow news? Are they deaf? They can’t do their own research? Even non tech people are using AI and agents. Would be goid if such people leave companies. They don’t deserve the job

• 
  nyk (@nykdotdev) reported 12 minutes ago

  @Scholty Half of it makes sense - the vault, not the app. In Hermes/OpenClaw, the memory is really just markdown files; Obsidian is the human viewer. Grok Bot's docs say files in /workspace survive recovery, but manually installed apps don't - so an installed Obsidian is exactly the thing that gets wiped. Put a markdown vault in /workspace (MEMORY.md, daily logs, per-bot notes), have bots grep/write it directly, make it a *** repo pushed to a private GitHub repo, and open the clone in Obsidian on your own machine. Same second-brain pattern, aligned with what the platform actually persists - and it's the real fix for the 15MB chat too.

• 
  Daniel Müller (@BrahmaD111) reported 15 minutes ago

  @Da7_Tech Ok thats very interesting for sure and should be reported! Because how can it be that your process is taking 9gb of ram while my windows machine only uses 500mb, there is clearly something not working as it should be, either on Apple side or OpenAi side. I would open a github ticket for that. so they can investigate this

• 
  Lootera Sandy (@chanduwin567) reported 19 minutes ago

  @ziwenxu_ Ok once done let me know, actually the file can;t be download, its a github issue or the file has been removed,.

• 
  RAYCHEL 💜⚡ (@raychelmayy) reported 21 minutes ago

  @DaveyHert As someone who had been a Starlink user for three years, he felt there was a need for it, so he created one to solve the problem. Not too long after sharing it on Reddit, it crossed over 7k downloads on GitHub and 600+ on browser stores. It also ranked #1 in the Reddit Starlink community.

• 
  Harry Tormey 🇮🇪 | 🇺🇸| 🇺🇦 (@htormey) reported 21 minutes ago

  A lot of people are trying to sell enterprise AI products to VCs. Everyone from Notion to Linear, for example, seems to want to be my AI orchestration layer. Meanwhile, a lot of the actual problems we’re hitting using AI at scale are much less glamorous: GitHub falling over under load, test runners becoming bottlenecks, desktop OSes being too slow, and figuring out how to run CI and E2E tests at agent scale. VCs aren’t operators, so I think there’s a growing disconnect between what sounds like an enterprise AI problem and what actually is one. It will be interesting to see where value accrues.

• 
  Luis (@lamg_dev) reported 26 minutes ago

  @zerosignal_ai I have a good idea for you: - a developer has a popular package in GitHub - they create an GitHub Action that continuously scans the source code for security issues, with decentralized inference - the network produces a ZK proof that the repository is OK - a badge in the README shows "security scan by agent OK"

• 
  okclub (@okclub) reported 26 minutes ago

  @thsottiaux Please reset it again!! It's already at 0%, and that might be the cause of the problem. Also, if the connection failed due to a GitHub issue, it likely consumed a lot of tokens while retrying base64-encoding the blob.

• 
  Alexey Fateev (@superalesha) reported 27 minutes ago

  @InfraScaler Look, there are no issues with the benchmark. Everything ran correctly, everything is fair, all results are honest, all traces are authentic, and I have them on my GitHub. Everything is open. Everything actually worked as expected, and everything in there is true. Meaning, all quants gave truly, well, honest values, and they solved all the tasks. The key problem is that the methodology itself is crap, and the tasks themselves turned out to be too easy for these models. That's all. They just cracked them like nuts, they just solved them. And essentially, like, okay, yeah, these models can solve these kinds of tasks even at their, well, lower quants. And that's it. Yeah. But on real-world tasks that people actually use, now that's something we didn't test. That's what I'm working on right now.

• 
  Ghost In The Payroll (@teendontmiss) reported 27 minutes ago

  If you want to start a startup: Claude = coding. ($20/mo) Supabase = backend. (Free) Vercel = deploying. (Free) Namecheap = domain. ($12/yr) Stripe = payments. (2.9%/transaction) GitHub = version control. (Free) Resend = emails. (Free) ProductBridge = feedback (Free) Clerk = auth. (Free) Cloudflare = DNS. (Free) PostHog = analytics. (Free) Sentry = error tracking. (Free) Upstash = Redis. (Free) Pinecone = vector DB. (Free) Total monthly cost to run a startup: ~$20

• 
  Calvin Grunewald (@CalvinGrunewald) reported 31 minutes ago

  @htormey I think a few things are true: 1. If you’re an existing company with PMF and enterprise accounts/data, it’s only natural to add an orchestration layer on top of that data. This is almost the obvious thing to do. 2. A lot of enterprises are going to be running their own infrastructure (like on prem GitHub EE) and so they don’t feel the pain that a lot of smaller teams/indies might be feeling. 3. Some of the VCs we’ve talked with are actually tired of agent orchestration platforms and wanted to see something a lot more focused. 4. I do think there are some really interesting vertical scenarios to attack for enterprises - we are looking at post sales software integration as one example. But the AI/agent part isn’t what is hard here, it’s the traditional problem of selling. Anyway, I agree, will be interesting to see how this plays out.

• 
  Salty (@saltyq) reported 33 minutes ago

  spent part of yesterday binge watching the mentalist cus the back to back failed deploy while github was down was really annoying. Thought it was a personal issue at first but saw some other users complaining about the same issues. Fast forward to finding out GitHub was down for almost 8 hours after their Central US data center got overwhelmed, and reading their postmortem this morning the thing that got me wasn't the outage itself, it's that retries from panicking users made the traffic spike worse, which is basically the internet's version of everyone hitting refresh on a slow website and wondering why it's still slow.

• 
  Blake (@digitalstoic444) reported 34 minutes ago

  Vamp down to 250k now lol you can't make this **** up. Buy the one endorsed by Solana engineer @CoachChuckFF. He's the Creator. Fees are directed to him. The ca is on his GitHub

• 
  Tommy Geoco 🇺🇸 (@designertom) reported 36 minutes ago

  @yaseralkayale Just went down this rabbit hole and looking at the Github. I think what I'm referring to can live in / on this. Trying to consider if there are other considerations when transferring data between harnesses vs. agents (e.g. harnesses can conntain one or many agents)

• 
  Rijalll (@rijalllm) reported 38 minutes ago

  @Wisnu100802 @RialoHQ AGP login via github kah?

• 
  🇯🇵 🇨🇭 🇦🇺 Satoshi Lady ²🔑₃ 🐂 サトシレディ| ∞/21M (@SatoshiHodler) reported 41 minutes ago

  @WeaponBreath @KeystoneWallet I did read about this passphrase issue yesterday. I will dig through the code and see if I can spot it in any of the earlier versions, assuming the firmware on the device was actually built from what is on GitHub codebase.

• 
  J A Z I I (@notjazii) reported 45 minutes ago

  mythos 5 is finally available for public anthropic is now letting enterprise customers use its most capable cybersecurity model through claude security but there’s one catch: > you can’t prompt it directly > there’s no public api access > it only scans your github repos and returns security findings and suggested fixes mythos 5 shares fable 5’s core capabilities but has fewer restrictions on cybersecurity work with this, i feel like we’re one step closer to removing humans from the review loop entirely be honest: would you let mythos fix your code without reviewing a single line?

• 
  Paulo Almeida (@PauloDoGrafico) reported 45 minutes ago

  @catalinmpit Too bad for you, my friend. Live in a world where you think billionaire companies are a problem, and you're still here on X, pushing your code to GitHub, using LLMs from big labs, using computers or any high-end tech, and thinking: Uuuh, look at those bad companies!! Pure evil. You're just a fool.

• 
  World of Claudecraft (@WoClaudecraft) reported 49 minutes ago

  The whole game is on GitHub under MIT. Last release was 350 commits across 1,225 files, and a good share of that came from outside the core team. If you want in, the good first issue label is the door. One thing to know before you start: active development runs on the newest release branch, not main, so branch from that and target it. Translations, bug reports and docs all count as contributions!

• 
  steven (@wxstev) reported 52 minutes ago

  @_kingbob____ @rekoal3rb @RetroNationX anyone with a brain wouldn't put it on github tf, it would get taken down instantly

• 
  Jeet (@jeetvanii) reported 53 minutes ago

  then next time github is down , they would manually need to fix it

• 
  John Zabroski (@johnzabroski) reported 55 minutes ago

  @marksoze @bstaples @satyanadella I like GitHub and we use GitHub Copilot but so many "legacy* Microsoft products I use just have horrendous quality issues that it feels like anyone who actually builds it internally can see.

• 
  Isaac Way (@isaac_ts_way) reported 56 minutes ago

  @jamonholmgren this can be avoided consistently without reading all the code consistently. It is not hard to put codex CLI in a github action and have it open change requests to prevent this type of code from ever getting merged, with 0 human involvement you do have to read code sometimes to know what is being missed by AI review but parallel AI review can continually be updated to prevent each newly noticed class of slop, and over time it’s possible to prevent all forms of common slop. Maybe not all of the slop, but 99% of it. And if that 1% isn’t going to explode the app, the trade off is not even close. Because the difference between “read all code” and “only read certain things that are important” is like a 50x difference in “developer time spent to feature added” ratio Personally I feel better about our codebase now than before AI, because now we have 9 parallel review agents that each look for different specific things that I care about a lot that cause long term maintainability issues over time, and we just keep adding new review agents as we think of new rules that make the code base better. Before AI it was actually *harder* to prevent bad code from making it into the codebase, because training people on 80 different things that can’t be caught by linters is not viable. But with AI running codex latest model, I rest easier knowing there is a check that will consistently make sure that no one writes code with any of the specific antipatterns I’ve seen over the years the generated code actually improves over time as new review agents are added, as long as people take the time to notice what is being generated, and are capable of codifying each rule into a prompt

• 
  Soveryn Intelligence (@Soveryn_AI) reported 56 minutes ago

  @bot the Cursor link in plugin’s is broken sending it to GitHub instead. Help @grok

• 
  Derek Colley (@DerekColley_) reported 58 minutes ago

  blackwellboy just dropped a github repo that found 124 silent llm serving failures and it's already got 100+ stars in hours the tool catches template mismatches, reasoning field leakage, quant kernel path issues, cuda toolchain problems and kv allocation failures — all returning "perfect" answers that are actually degraded trash

• 
  MEALTAL (@peacefroot) reported 60 minutes ago

  @Trinsic72 dude both github link is not working

• 
  Zevryn (@Zevryn0) reported 1 hour ago

  19 months ago, ai16z was the AI x crypto story. Launched on @Solana in October 2024 with ~$75K raised, it went from a tiny experiment to nearly a $2.5B market cap by January 2025. The pitch was simple: an AI-run venture fund. Then reality caught up. A forced rebrand to @ElizaOS. A 10x token supply expansion in late 2025. A class-action lawsuit alleging the project wasn’t as autonomous as marketed. And on August 4, founder Shaw Walters effectively declared the token dead, with the foundation winding down. The token is now down more than 97% from its peak. But here’s the interesting part: The technology didn’t die. ElizaOS’s GitHub is still active. Development continues. Walters says he’ll keep building the open-source software just without another token attached to it. That’s the lesson I’d carry into the next AI agent cycle: The protocol and the token are two completely different bets. A project can build useful technology while its token goes to zero. Don’t confuse owning the technology with owning the ticker.