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 (53%)
• Errors (33%)
• Sign in (14%)

Live Outage Map

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

City	Problem Type	Report Time
Paris	Website Down	12 days ago
Ahmedabad	Errors	18 days ago
Delme	Sign in	18 days ago
Lyaud	Website Down	19 days ago
Catania	Errors	21 days ago
Inverness	Website Down	1 month 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:

• 
  ѕaℓoηι ηαяαηg (@thesaloninarang) reported 8 minutes ago

  I review resumes for DevOps beginners at meetups, and the same fixable problem shows up every time: bullets that describe the tool instead of what YOU did with it. Let me show you the difference with real rewrites. BEFORE: "Worked with Docker and Kubernetes" AFTER: "Containerized a 3-service Node app and deployed it to a local Kubernetes cluster with health checks and resource limits" BEFORE: "Knowledge of CI/CD" AFTER: "Built a GitHub Actions pipeline that tests, builds and pushes images on every merge to main" BEFORE: "Familiar with Linux" AFTER: "Debugged container startup failures using logs, exec and inspect on Ubuntu servers" See the pattern? Verb, artifact, specifics. A hiring manager can picture the AFTER versions. The BEFORE versions could be copied from any job description, and that is exactly how they read. You do not need production experience to write bullets like this. Personal projects count when you describe them concretely.

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  Rafael Audibert (@RafaAudibert) reported 9 minutes ago

  @madebygps @github Tried using it with my agents (the main benefitor from this) but it doesnt really work because you cant use it with GitHub app user tokens (ghu_). Can that be changed somehow? All cloud agents will have that problem, and most of our coding happens trough cloud agents now

• 
  Conor Bronsdon (@ConorBronsdon) reported 10 minutes ago

  .@SlackHQ is building for multiplayer AI: tag a coding agent into a Slack conversation and it spins up a coding channel: everyone in that convo gets a live dev environment, diffs post as artifacts, and the channel winds down when the task is done. With the launch of Slack Code, Claudeforce, their MCP and more, Slack is putting Agents in the channels where teams already work, not simply in a private chat with one person. Their position is that the whole team should be able to watch, steer, and review what the agent does. Slack Chief Product Officer Jaime DeLanghe joined me on @chain_ofthought to explain how Slack is building a team AI environment, what happens mechanically when a code channel is created, why Anthropic pushes so much of its code through Slack, how the channel permission model became the agent context model, and what has to change in engineering culture when the whole team is steering one agent. I think Slack is the platform best positioned to become the context harness where enterprise agents run: agents that see what the team discusses, permissions that already exist, and a cultural opportunity hiding inside every multiplayer coding session. Chapters: (0:00) Slack as an IDE and a GitHub for your team (0:29) Who is Jaime DeLanghe (1:21) The reaction to the Slack Code launch (5:30) Why coding agents belong in a context-rich environment (6:08) Engineers now manage agents, not copy-paste code (7:24) The permission model: agents get the channel's context (11:44) What happens when a code channel is created (15:00) Why Anthropic pushes so much code through Slack (19:14) Steering one agent with many people: culture decides (24:54) Slackbot, skills, and MCPs: agents go where the work is (30:53) The solo terminal vs. agents in social spaces (33:53) Org charts and ownership when agents join the team (39:33) Learning loops and shared agent memory (42:39) Citations, recency, and accidental knowledge management (46:50) Context bloat and multi-pass search for agents (50:01) How Jaime uses Slackbot as CPO (52:38) Slack Code is V1 of multiplayer AI

• 
  radhika (@RaadhikaThacker) reported 11 minutes ago

  YAML’s more like a rule book/recipe that builds the form for you. Then I figured YAML was a forms thing. Nope. It’s just a way of writing information down in a structured way. GitHub uses it for a form. Kubernetes uses the same thing to describe a server.

• 
  Joshua Okolo (@joshuaokolo_) reported 12 minutes ago

  we made @sgl_project and @vllm_project scheduler config changeable on a live server. no restart, weights never leave the GPU. - 15ms to change a concurrency cap, queue limit, prefill size, or schedule policy, measured on H100, RTX PRO 6000, B200 - 2s (SGLang) / 8–10s (vLLM) to resize the KV pool with weights resident (formerly a 1–7 min redeploy) - zero dropped requests across every run, both engines github below

• 
  volkdude85 (@volkdude85) reported 14 minutes ago

  @SentientSquirel @linuxuser1996 So you are you scared of github then. Look dude I have fun on computers and don't take myself seriusly because I have destroyed enough OS's over to not worry about it because I just fix it, If the contents of your PC make you this paranoid its time to check your kink.

• 
  Kir Shatrov (@kirshatrov) reported 14 minutes ago

  github issue page has been HTTP 500 for me for half a day so a colleague sent a PDF of the issue page. Never thought we'd be there.

• 
  LLL (@triplellltrbl) reported 17 minutes ago

  You know it's so funny to me That in today's age there are so many people that are just straight up copying workflows, AI automations or GitHub repos Without even thinking twice about what the workflow actually does or how it works They just watch some video, see the output, think, "Oh that's cool. I want that," and then try it Then when it doesn't work they get angry, upset, and say that AI is crap or prompting isn't real The issue wasn't the system or the prompt It was a fact that the system wasn't made for you and you don't actually understand it

• 
  Suryansh Tiwari (@Suryanshti777) reported 18 minutes ago

  6. The Dependency Incident Check Grok has native real-time search across X. Breakage gets posted there hours before the GitHub issue is triaged. No other coding model has that feed. "You are a build engineer whose first move on a broken pipeline is to work out whether it broke for everyone or only for me. Search X and the web, last 14 days. Check: - Is anyone else reporting this failure with this package and version, and when did the reports start - The exact release that changed behaviour, and the changelog line that admits it - Whether maintainers have acknowledged it and what they recommended - The pin or patch people settled on, with the tradeoff of each - Whether this is my problem instead, and what evidence points that way Give me the verdict in the first line: their bug or mine. Then the evidence, newest first, with links. My failure: [PASTE THE ERROR, THE PACKAGE AND VERSION, AND WHAT CHANGED ON YOUR SIDE RECENTLY]"

• 
  Lummox (@Lummox_eth) reported 19 minutes ago

  My own built Grok Bot turned $1,000 into $5,300 for last 17 hours. Now the project behind it is sitting around $25K market cap. We already pushed past $60K once and gonna hit $200k soon The bot is still running. The utility is almost ready. GitHub is live. Dev tokens are burned. I’m still buying. Nothing about the actual project changed because the chart went down. At $20K MC, this is the entry I personally like far more than chasing the first move. The target hasn’t changed either. $100K+ is where I want to take this next. $LUM is just getting started.

• 
  Max Rovensky (@MaxRovensky) reported 19 minutes ago

  @thekitze you'd be even further down if you fixed the GitHub bug I just reported

• 
  Martin Tobias (Pre-Seed VC) (@MartinGTobias) reported 23 minutes ago

  if you know any founders who are winding down, I may have a buyer of their github repos. DMs open.

• 
  Rachael LaGoth (@androidsheeep) reported 23 minutes ago

  @bcherny Please fix the desktop app it's very buggy it keeps disconnecting me for no reason everyday while im working on stuff, i submitted a report but nothing happened and someone else is having the same issue, an issue is open on github for more than 6 months with no solutions help

• 
  WuBu ⪋ WaefreBeorn 🇺🇸 👑 (@waefrebeorn) reported 26 minutes ago

  hey @Teknium @yeahfortommy please add the amd portal too even if tou have to send tommy into the AMD headquarters to get them to fix the links (you have to sign up for american then link through github, then you can access the models free, tommy needs to pull teeth but they have free api)

• 
  Jessika Hyde (@dwajedentrzy7) reported 26 minutes ago

  @k2sbhai to all, u need to register via cn version (login with github). Pretty slow but usable as backup or something

• 
  recovering buzzkill (@MikeStillAwake) reported 27 minutes ago

  @Karai_Dan @SteamDeckHQ Agenda or not nexus mods is a terrible outdated model for distributing mods. GitHub would be a superior host.

• 
  Ghaith Jelassi (@GhaithJ) reported 28 minutes ago

  @github I need help with support ticket #4718335 Issue not been resolved for 2+ months. Any help is appreciated. Thanks.

• 
  Åsa-Nietzsche (@AsaNietsche) reported 28 minutes ago

  @peterb0yd @burkeholland @github It's every ******* model. I'm getting whiplash from all of this everything changing forever society being turned upside down every two weeks.

• 
  Harman (@itsharmanjot) reported 33 minutes ago

  Runs macOS on iPad to enable pro apps like Xcode and Terminal directly on the device This isn't a remote desktop or a streaming trick. It's real macOS booting on the iPad itself. It's called Virtual Mac on iPad. It runs a full copy of desktop macOS directly on Apple Silicon iPads, using Apple's own virtualization stack pulled out of macOS and rebuilt to load on iPadOS. Real macOS, on the tablet, offline. → Runs macOS 12 Monterey all the way up to macOS 26 Tahoe → Real pro apps on device: Xcode, Terminal, Final Cut Pro, Logic Pro, Pixelmator Pro → Metal GPU acceleration in every supported macOS version → Works with touch alone: tap to click, two-finger scroll, on-screen keyboard, no Magic Keyboard needed → Runs entirely on device, no server, no streaming, no account → Installs straight from Sileo in a couple of taps Here's the wildest part: It doesn't just match the desktop Mac virtualizers, it beats them. Virtual Mac is the first tool ever to run Final Cut Pro with OpenGL and OpenCL acceleration inside a macOS VM, something even UTM and VirtualBuddy running on a real Mac can't do. And it was built by a handful of community devs who extracted Apple's Hypervisor and Virtualization frameworks by hand, then used agentic coding to shim every missing API iPadOS didn't have. One honest note: this needs a jailbroken M1 or M2 iPad running iPadOS 16.3.1 or older. Apple removed the hypervisor from iPadOS 16.4, so newer versions are locked out for now. If your iPad qualifies, it's the closest thing to a Mac in a tablet that has ever existed. 1,423 GitHub stars. MIT License. 100% open source.

• 
  small_j (@a_small_j) reported 36 minutes ago

  @smalldocs_org recently crossed 200 stars on GitHub and 20 forks. SmallDocs is the first open source project I've managed. Handling other people's pull requests is not easy (and I need to improve). They implement features you're not considering and fix bugs you didn't know you had. Extremely useful, but if you're squeezed for time and trying to develop core functionality, it's hard to manage both things well.

• 
  Shanica North (@KickAssShanica) reported 41 minutes ago

  @ArcyloOfficial Get comfy! For me, my Gmail is a connector. This is OAuth into my inbox. Grok can: • search and read mail (body, headers, attachments) • draft replies • send / reply / forward if you grant write/send • label, trash, organize Base hook is often read-only. Send is an extra permission you click on purpose. If you connect it, the bot is sitting in the same box as bank alerts and 2FA codes. That is the whole risk. You can revoke anytime. Grok Bot can also skip my inbox and get its own address (AgentMail / similar plugins). Then it sends and receives from something@….agentmail.to, not from you. I use that if I want an agent that emails people without reading my personal mail. My GitHub OAuth into the GitHub user I sign in as. With the scopes I approve it can: • read public and private repos that account can see • search code, list branches, summarize PRs • open/update issues • create branches, push files, open/review/merge PRs • delete files if write is on Private repos work only if I granted repo (or equivalent) at connect time. Safer pattern: tell it to branch + PR, not push straight to main. Same revoke page. What it cannot do by default • It does not get your password. • It does not stay logged in if you disconnect the connector. • It does not magically see my GitHub orgs I never authorized. • Connecting email does not connect GitHub, and the other way around. Practical rule for me Do not hook personal Gmail if that inbox has 2FA and money mail unless you want an assistant reading it. GitHub is useful if I chose to still keep repos, ask it to show the diff before any write. If you only wanted “what does this button do,” that is the button: it is not a viewer badge. It is a key you can take back. This is what I’m experiencing with learning to use it. It’s different and I’m starting to like it.

• 
  RAVN (@ravnexchange) reported 42 minutes ago

  @openclaw @github GitHub sat the maintainers down on security after the 2.0 rush. Most launch recaps skip that part.

• 
  Rituraj (@RituWithAI) reported 44 minutes ago

  🚨 Someone built the complete playbook for running frontier AI models on consumer GPUs at home. Not a tutorial. Not a YouTube video. A production-grade serving stack with measured benchmarks, working configs, and battle-tested recipes — for RTX 3090 owners who want real performance. It's called club-3090. And the numbers it delivers should not be possible on consumer hardware. 127 tokens per second. Qwen3.6-27B. Two RTX 3090s. 262K context window. Vision. Tool calling. At home. Here's what's actually inside. Two serving routes — pick based on what your workload breaks on. vLLM dual: maximum throughput. 89-127 TPS on code tasks. 4 concurrent streams at 262K context. Full feature stack — vision, tools, speculative decoding, streaming. This is the path if speed matters. llama.cpp single: maximum robustness. Full 200K context on one 3090. No prefill cliffs. 25K-token tool returns work correctly. 91K needle ladder passes. ~51-60 TPS — slower than dual, but doesn't crash on real-world agentic workloads. Both routes ship as validated Docker Compose configs. Drop-in OpenAI-compatible API on localhost:8020. Your Claude Code, Cursor, or any OpenAI-compatible client connects immediately. Here's the model support that makes this practical. Qwen3.6-27B — production ready. Works on 1 or 2 cards. vLLM, llama.cpp, ik_llama. Up to 262K context. Gemma 4 31B — production ready. Vision, tools, up to 106-141 TPS on dual cards. Qwen3.6 35B-A3B MoE — production ready. 103-149 TPS single card. 178 TPS dual. Here's the wildest part. The terminal UI. c3 is a lazydocker-style cockpit that wraps discovery, serving, and operations in one keyboard-driven interface. Browse the model catalog, serve a variant with Enter, watch live GPU stats, run health checks — all without touching the CLI. Here's why this is different from just installing Ollama. Ollama gets you running. club-3090 gets you benchmarked, stress-tested, and production-hardened. Every config ships with a verified TPS measurement. The bench script runs 3 warmup + 5 measured passes. The stress test catches the specific prefill cliff that Ollama silently fails on at long contexts. When your agent starts doing 25K-token tool calls at 3am and something crashes — club-3090 already found that failure mode and documented the workaround. One command to start. Your RTX 3090 just became a frontier AI inference server. Apache 2.0 License. 100% Open Source. GitHub link in the comments 👇

• 
  Franco Valdes (@francoxavier33) reported 45 minutes ago

  llms rather burn 1m tokens to hand roll something with gaps and broken edge cases instead of just npm installing a 100k github star library how can I stop this?!

• 
  Bash (@bashirbuilds) reported 48 minutes ago

  Your Stripe account can be healthy while your checkout is broken. OpenAI can be operational while your AI feature is failing. GitHub can be up while your deployment workflow is stuck. That’s the problem I’m building Reeno around. Dependency uptime is not the same as product health. Your monitoring should tell you when the thing your customers actually use stops working.

• 
  Gustavo Alessandri (@webgus) reported 49 minutes ago

  If you find an error, have an idea, or want to propose an improvement, just open an issue or fork it on Codeberg or GitHub. Contributions are welcome. That’s exactly the point.

• 
  Shaun Patrick SteWaRt (@ShaunStewart) reported 55 minutes ago

  @annalea_l Honestly, I really want to see this. You have to understand: I am the type of person who can learn and do anything on the fly at a high level, and I just threw myself into this whole developer and engineering world. When I first started learning all this stuff, I already knew what I wanted and how I wanted it to operate, regardless of what I saw on X or what was considered possible. Before I even started following hundreds of developers and learning about harness engineering, mechanical engines, persistent memory, and all that, I put my brain on a GitHub repo. Everything is shared across every machine, every cloud entity, and every AI. I am not even technically an engineer or a developer, and I don't actually write code. But once I started following all these people and saw all the problems they complain about, I thought: this isn't even my trade, and I have already solved all these little things everyone says are impossible. Why aren't people talking about developing your harness more and making things more mechanical, instead of just arguing with a terminal all day long? Whenever I see articles people post on X, I run them by Claude or Grok and ask, "Should we implement this?" I have hundreds of bookmarks, but every single time they tell me, "Nope, your brain's better. Nope, your harness is better." I can never find anything built better than what I have or what I am currently working on. The brain and harness setup is basically like a mini operating system. All that said, I am really looking forward to seeing something I can use that goes far beyond what I am already doing. I definitely want to see your end product, it sounds very interesting.

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  🍔Kangdalf👑 (@WhopperWizard) reported 56 minutes ago

  @cachesaur > claude, get your changes into github what's the problem?

• 
  trulite (@trulite007) reported 58 minutes ago

  @Qromerolauro @mkliku @radius_browser Like a simple example would be have a list of my urgent GitHub issues and start an agent for it . Or a dashboard in which buttons start investigating issues. Of course I just need the webpage to be able to access radius tools. I m thinking secure way is an extension

• 
  Abdallah Shaban (@AbdallahSh07) reported 1 hour ago

  @10VBacik @FlutterDev Got it! did you create a GitHub issue on their end for this? seems like there is enough info in that gist to help them investigate!