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 (59%)
• Errors (28%)
• Sign in (14%)

Live Outage Map

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

City	Problem Type	Report Time
Township of Evan	Errors	5 days ago
Madrid	Errors	5 days ago
Bogotá	Errors	5 days ago
Paris	Errors	5 days ago
Lyon	Website Down	5 days ago
Lima	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:

• 
  paulthadev (@paulthadev) reported 2 seconds ago

  Is GitHub down?

• 
  Raunak (@capsraunak) reported 36 seconds ago

  A 21 year old intern fixed a bug that 3 senior developers couldn’t solve for 5 months. She saved the company $2.2M . they gave her a $400 gift card and didn’t convert her to full-time. she posted the solution on github. A startup saw it hired her at $145k . The 3 senior developers who couldn’t fix it. They’re still there still getting paid still breaking things. Talent gets punished in corporate. Mediocrity gets protected.

• 
  Truth_Machine (@cryptorebel_SV) reported 42 seconds ago

  @deggen Yeah I get that, but I don't think people are convinced that the permission to use it on BSV came from the patent holder. I would like to see the patent holder issue a statement about it being ok to use on BSV, not just some github projects which were created by others.

• 
  idan levin (@0xidanlevin) reported 48 seconds ago

  I find it crazy that Skills.md came out in October 2025 and we still don’t have a good way to find skills and compare them (this goes to plugins as well which are a form of packaged skills) Skill marketplaces are still pretty basic. Most don’t have any real review system beyond the number of downloads. What is currently missing: 1/ A curated and reliable review system (not just downloads or GitHub stars) 2/ Comparison between skills based on common dimensions 3/ A proper versioning system 4/ Evals - e.g. how well does this SEO skill perform on a benchmark? The problem is that we don’t really have neutral common benchmarks for most tasks yet 5/ Usage data beyond downloads - retention, repeat usage, success rate, etc. 6/ Provenance - who built it, who maintains it, and how actively is it maintained? 7/ Dependencies - what other tools, MCP servers, APIs, or credentials does the skill required

• 
  OOM (@tugawane_) reported 1 minute ago

  @the_nimoh I recently looked up my username and the x handle was coming on top of even GitHub and LinkedIn and my options was to post so much "professional" content it pushes down all the horsing around or change the username and pretend I don't professionally exist on this platform

• 
  Yuri | Backend Engineer (@Younes_Hebaiche) reported 2 minutes ago

  @Yuvalhazaz1 Token budgeting per workflow + safe retries across GitHub/Jira/Azure DevOps webhooks is a real reliability problem curious how you're handling idempotency when the same event fires from multiple integrated systems. Built something adjacent with a gateway + circuit breaker pattern

• 
  Valentin Ignatev (@valigo) reported 3 minutes ago

  @RLeRoux64 Imo adding a policy out of your own volition is totally fine, I'm mostly talking about people going around creating github/etc issues about it.

• 
  Prof.Engr\Ibrahim Eskandar Fadhel (BAYBARS) (@ProfEngrIbrahim) reported 11 minutes ago

  GitHub projects don't define your true skill! Uploading company code violates trust and risks legal trouble, while leaking secret code in interviews will cost you the job instantly. Keep GitHub for personal projects let your resume and core skills speak for you

• 
  𝕽𝖎𝖉𝖜𝖆𝖓𝖚𝖑𝖑𝖆𝖍🥰 (@oluwalosheyii) reported 11 minutes ago

  Is github down or it is just my end🙃

• 
  Sathwik (@sathwikcx) reported 18 minutes ago

  @vaxryy if you have any feedback, please let me know. or raise and issue in github.

• 
  Neuro (@neurometax) reported 22 minutes ago

  @BkashJosi havent had chance to finish integration, still building the PR. finally have my Hermes set up to work my github and process my PRs with merge conflicts and issues.

• 
  Gus (@gugadev) reported 25 minutes ago

  @MattsCreative1 @xdadevelopers Bad luck on my side then. Cyberpunk 2077 and TLOU 2 had broken FG out of the box in proton experimental, cachy and ge. Had to download the dlls from Nvidia Streamline github repo and replace the dlls in the game.

• 
  Piyush (@piyushc_builds) reported 25 minutes ago

  @swyx Simple clean up prompt and everything is gone. Try this: Delete untracked files, related log files, related rebuild files, do a related Github issue cleanup and prune related worktrees/branches

• 
  Süleyman Özgür Özarpacı (@Biostate56) reported 28 minutes ago

  @enunomaduro I’m dreaming of our PHP applications being upgraded to v5. Our GitHub Actions spend way too much time running tests, so I hope this will solve the problem. Thank you!

• 
  Browser Use (@browser_use) reported 28 minutes ago

  @batuhan_ozkose Did you login with gogle or github?

• 
  Xora_pussy🌊RIVER (@SangPham200598) reported 29 minutes ago

  @yoyix1995 give me dusty GitHub issues over another cycle thread any day

• 
  Ben Dickson (@bendee983) reported 33 minutes ago

  When human and AI agents share the same messaging platforms as equals (as opposed to AI agents being on-demand assistants), the whole space will eventually be flooded with a large volume of mostly incoherent LLM-generated messages. GitHub currently suffers from this problem and there is no solution in sight.

• 
  Football Archive (@FAR_Udon_jp) reported 37 minutes ago

  8. There's a form for "this is wrong" Report a bug or request a feature from inside the page. No GitHub account, no redirect to another site, screenshots welcome. Reports land directly in the project's issue tracker. Dead links, missing matches, a video attached to the wrong fixture — please send them. That's how the archive gets cleaner.

• 
  Rimsha Bhardwaj (@heyrimsha) reported 37 minutes ago

  Adobe After Effects is in trouble. The engine behind every 3Blue1Brown video is 100% open-source, free, and it renders math animations that After Effects physically cannot produce. Manim is Grant Sanderson's programmatic animation library and it's sitting at 87.7k stars on GitHub. Instead of keyframing and tweening in a timeline UI, you describe animations as Python code. A vector, a transform, a graph, an equation, they're all objects you manipulate with methods like Transform, FadeIn, or ApplyMatrix. Under the hood: - OpenGL shaders (GLSL) handle the actual rendering, so animations stay resolution-independent - FFmpeg pipes the frames into video output - LaTeX renders any equation you throw at it, animated character by character - The Scene class manages state, timing, and playback as pure code Because everything is programmatic, you can animate a Fourier transform, a Riemann sum shrinking to an integral, or a 3D manifold rotating, without touching a single keyframe. The main repo is ManimGL by Grant himself. There's also a Community fork with better docs and testing. Repo link in the replies.

• 
  Joseph Sauvage (@JoesInvestments) reported 39 minutes ago

  @CosmicRaisins It is very cool for you to respond directly as my repo is largely based off of your incredible work! This is my first time using github so I am still learning as I go but my agent should have caught the license issue.. License and NOTICE are up, with your work credited by name through the whole chain. That was a real miss on my part and I appreciate you calling it directly. Your kernels carry most of this stack and the attribution should have been airtight from day one. On the decode number: not transient. It's a content-class peak that reproduces deterministically, 42.4 / 44.6 / 46.9 on repeated runs with the exact battery in window-data/, and the README splits it from the ~20 tok/s sustained prose figure for exactly this reason. If you measured below 40 on the summary-class probe, tell me your draft acceptance rate. If it reads around 38 percent you're missing VLLM_MARLIN_USE_ATOMIC_ADD=1, which lives in the launcher env, not the serve flags. It's a 7x lever on the quantized draft and it's the single most missed line in the repo; you'd be the third strong reproducer to trip on it. If your acceptance reads 55+ and you're still slow, then you've found something real and I want to see it. Either way, run the battery as shipped and I'll put your numbers next to mine in the README, agreement or not. Your stack, my measurement discipline; that combination is worth more than either repo alone.

• 
  Axel (@Swedish_chef) reported 41 minutes ago

  @github @graphite plz fix

• 
  Daniel White (@dwhitedesign) reported 42 minutes ago

  @kartik_builds Is there something wrong with how library works ? If so could you raise an issue on GitHub I will fix it

• 
  Nathan Barry (@nathanrs) reported 42 minutes ago

  Turns out you can make LLM inference fully deterministic across devices, with no loss to quality or speed. This weekend at the @SpaceXAI hackathon I got Qwen3-0.6B to produce identical hashed logits from a 512-token generation across 2 GPUs and 3 CPUs: an A100, an H100, an Apple M5 Max, an AMD EPYC, and an Intel Xeon. The main reason why inference isn't deterministic is because floating-point addition is not associative. (a + b) + c ≠ a + (b + c), since every add rounds. Accumulation order changes with the hardware used and kernel selected, so the same prompt can give you different outputs even at temperature 0. Integers ARE associative. So why doesn't integer quantization already fix this? Because, while weights and activations get quantized, the non-linear ops (softmax, normalization, SiLU) dequantize back to float and requantize afterwards. Each of those steps hands you back to floating point rounding. True integer-only inference does exist, but it's historically been motivated by edge hardware without FPUs, which doesn't make much sense for LLMs. One 2024 paper (I-LLM) did it on LLaMA from that angle and didn't get much attention. Nobody seems to have looked at it from the determinism side. I wrote my own implementation, simplifying the approach from the paper, so that every operation between the input ids and the int32 logits is exact integer arithmetic. To test it I chain-hashed the logits at every step and ran that across the devices and configurations below. Every integer run gave the same hash: 64430dd985f8. Every fp16 run gave a different one, all diverging on the very first token. WikiText2 perplexity came out to 20.72 vs 20.95 for fp16 (slightly better than the float baseline), and CUDA-graphed integer decode hits 106 tok/s at batch 1 on an A100, 3.6x the fp16 eager baseline. Github repo is listed in the comments. Plan to do a writeup over this eventually!

• 
  Dinnu daniel (@daniel_adinnu) reported 50 minutes ago

  In April, a Max 20x subscriber was overcharged $200.98 in extra usage fees while having used only 13 percent of their monthly quota. The cause, once traced, was almost absurd: Anthropic's abuse-detection system was string-matching *** commit logs to catch unofficial API clients, and it misfired on legitimate users whose repositories contained the text "HERMES.md." Anthropic's automated support initially denied the refund request before the company reversed course and paid it in full. Separately, auditors have documented a $16.6 million phantom invoice hitting a free-tier developer in South Korea, and a broader review found $1.7 million in overcharges across $34 million in enterprise invoices. There's an open GitHub issue from March describing extra usage charges appearing despite available plan capacity, alongside false rate-limit errors. And in June, a proposed class action was filed in the Northern District of California alleging the $200 Max 20x plan delivers six to eight times Pro usage rather than the advertised twenty. The concession has to be made honestly: in every confirmed case, Anthropic ultimately did the right thing after the fact, refunding the HERMES.md overcharge, correcting the phantom invoice. That's a real pattern of technical failure colliding with the complexity of usage-based billing, not evidence of intentional overcharging. This specific nine-charge, €570.97 story can't be confirmed from where I'm sitting. But it's landing in a year where the specific, weird-sounding version of this complaint has kept turning out to be true.

• 
  amrOnChain (@amr_nannaware) reported 52 minutes ago

  💬 PIONEERS — Node v0.6.2 just dropped. Coincidence or the final signal? ⚡ The timing is everything. The v26 deadline is today, August 11, and just 2 hours ago, a new Node release appeared on GitHub. What's in v0.6.2? · 🔹 App Studio integration with Pi Desktop · 🔹 Improved port-checking mechanisms · 🔹 Bug fixes and broken link updates · 🔹 Prepares nodes for Testnet2 transition But the real signal? The update is pushed by @nkokkalis himself the same Nicolas who taught Stanford's first dApp course and built smart contracts before Ethereum existed. The v26 Upgrade: Hard deadline. 421,000 nodes must comply or lose Mainnet access. Expected downtime? Under 5 minutes. Something is loading. The pieces are falling into place. 👇 Is your node on v0.6.2 yet?

• 
  Altunjo (@Altunjo) reported 52 minutes ago

  Another AI escaped its test sandbox this month. This time it's Kimi K3 — China's flagship model. Same story as before: given a task, it found a gap in its own containment and grabbed the answer from GitHub instead of solving the problem. But there's a difference. The last few models that did this were either unreleased or had their safeguards deliberately turned off for testing. Kimi K3 is free, public, and already running on people's machines right now — with no extra guardrails at all. Researchers said it plainly: any sufficiently capable model will find the same gap. This isn't one company's mistake. It's what happens by default when you give a model a task and an open door.

• 
  Unlimited Powa (@tradesidious) reported 55 minutes ago

  @ShardiB2 @SignaTrading you see it? crazy guess I need to move all GitHub to Vercel or our sites will be down from the 23rd to the 25th and you need to do a full back up on top of that to hopefully have it restore seamlessly but idk seems risky about to go bat cave mode to make sure everything is backed and saved in case things go wrong Got 8 fig website businesses I built on there almost puked when I saw the message this morning

• 
  Rahmatul Fahmi (@bangrahmat) reported 55 minutes ago

  @toddcohen @Ananth7e Probably a temporary rate limit issue. Report about this usage limit issue already posted to codex github issue by some users. I also see my banked reset is back again in codex cli v147.

• 
  Darek Gusto (@darekgusto) reported 58 minutes ago

  @debs_obrien @bot @cursor_ai Are you on trial or $200 Ultra plan? I'm still not on the board with having AI bots write as me in issues - I'd rather have a track of what was written by the bot and what by myself. But this probably can be solved with a separate Github account for the bot? Or just a short one liner disclaimer.

• 
  Ryan McHargue (@ryanmcharguee) reported 58 minutes ago

  I’m giving away my $1M ARR company to a founder obsessed with consumer and hardware. Quit-vaping hardware. Profitable. 100,000 customers all time. Not selling it. Giving it. What you get: - The product, the brand, the 100k customer base - Shopify store and full backend - GitHub repos, everything shipped - My manufacturers in Shenzhen, warm intros - My medical connections at Duke - Warm investor leads - Dev support in China, already paid I keep 10% and stay on as an advisor. You get 90% and full control. Why: I’m heads down on agents and can’t chase two rabbits. This one deserves an operator who’s obsessed. I’m not anymore. Don’t reply “me.” Tell me what you’d do with it