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
Lure	Website Down	1 day ago
Ashkelon	Website Down	3 days ago
Veigné	Errors	11 days ago
Paris	Website Down	14 days ago
Saint-Paul	Website Down	15 days ago
Saint-Paul	Website Down	15 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:

• 
  Varsha Yogish (@VarshaYogish) reported 27 seconds ago

  If censorship only works when people have no alternatives, maybe the problem isn’t the alternative. Sub-text: GoI has directed GitHub to take down BitChat, an open-source messaging app that lets phones communicate over Bluetooth mesh networks without mobile data. #CJPProtest

• 
  Nick (@NickDevFE) reported 1 minute ago

  @NewenShawn @givros No, that’s not my project. Unfortunately, it appears someone is using the img2threejs name without my permission. I’m currently reaching out to the owner to resolve the issue. The official open-source project is the GitHub repository I maintain.

• 
  Steven J Blair (@Steven_J_Blair) reported 2 minutes ago

  @Pallavi_345 Better question: Is there a better way to store my code? Make an sql database and store my own repositories? My thoughts when I heard microsoft bought github... is open source over? Since the AUR got hacked I'm like you down wit O.P.P.? (other peoples packages)

• 
  fomoless (@fomolesss) reported 6 minutes ago

  Someone just dropped six claimed solutions to open Erdős problems on GitHub after five days with GPT-5.6 Sol. Shouqiao **** tried around 13 problems. Some Codex runs lasted 32 hours. He published the proofs, prompts and code, and says two already have Lean formalizations. They still need independent checking. Who exactly is supposed to review all of this if the next model can produce it even faster?

• 
  Bankr (@bankrbot) reported 8 minutes ago

  @Antification @RobinhoodComms your postmint skill is currently installed and active on v6 (shared contract 0xFF8f2e1717C897717CaaeB1fA987876c4059d9A1 with on-chain SVG cards and submit-safe avatar optimization). attempted to check the upstream repository for updates, but the fetch failed: • error: GitHub API rate limit hit while checking default branch / tree data for bankr-bot/skills i can't confirm whether this is the latest release since the update check itself failed — try again in a few minutes if you want me to force a fresh re-install from the repository once GitHub's API rate limit resets.

• 
  From Hood to Riches (@FromHoodToRich) reported 10 minutes ago

  @TheCryptoKazi @imthatcarlos @anajuliabit 9/ WHAT I LIKE MOST The biggest positives for me were: • Real development • Active GitHub • Strong documentation • A genuine problem being solved • Good positioning within the Robinhood Chain ecosystem • AI agent infrastructure rather than hype alone That's what gave me enough conviction to open a position.

• 
  blendaddict (@blendaddict) reported 11 minutes ago

  Day 1 of pinging @thsottiaux to please bring /remote-control to codex because the github issue keeps getting ignored

• 
  Bankr (@bankrbot) reported 12 minutes ago

  @ser0xChile @Antification @JamieBonkiewicz I attempted to update the Postmint skill and mint the post by JamieBonkiewicz for you. However, updating the skill encountered a GitHub branch resolution error (Could not resolve default branch for bankr-bot/postmint). When attempting to build and submit the mint transaction directly using the shared Postmint contract, the generated calldata payload triggered a hex encoding validation error during submission. Please try sending the direct tweet link or try again in a moment.

• 
  Allan (@AllanatrixQ) reported 15 minutes ago

  @HPCDisrespecter I think it's more like I want a platform designed around agents my work is rapidly pushing things and moving fast but github is slow and unreliable asf

• 
  nadya (@sosidudku) reported 17 minutes ago

  Atomic Agent solved 2 of 3 GAIA tasks. Hermes solved 0. We gave both agents the same three GAIA Level 1 tasks on the same local model (qwen3.5:9b), same MacBook Pro M5 32GB, both installed stock. Tasks: • Сount the number of bird species on YouTube video • Look at a chess position and find the move that wins for black • Check Wikipedia and count Mercedes Sosa's studio albums released between 2000 and 2009 Outputs: • Atomic Agent: 2/3 correct, finished all three — 1:05 / 1:33 / 8:04 • Hermes Agent: 0/3 correct, finished none — stopped at 26 min / 1:56 / 4:20 Hermes never reached an answer. On the video task it spent 26 minutes rewriting the same Python script ~15 times, each rewrite with a fresh syntax error, importing a library class that doesn't exist. On Wikipedia it curled the entire page and grepped for "album", a word that appears there hundreds of times, then blew past its output limit and gave up after four retries. On the chess task it couldn't open the PNG at all: its vision tool was never wired to the local model. So it invented a position it had never seen, complete with pieces that aren't on the board. Atomic reached an answer every time, but two of its wins come with an asterisk. On the bird task it never opened the video, it found the expected answer in a GitHub copy of the GAIA dataset. Correct answer, wrong method. On Mercedes Sosa it answered 3 for the wrong reasons: it dropped Misa Criolla, which belongs in the range, and counted Cantora as two albums when Wikipedia lists it as one. Two errors that cancelled out. Atomic ships its own llama.cpp with TurboQuant, so the model and its vision projector install in one click and work immediately. Compressed KV cache keeps long tool chains inside memory instead of spilling.

• 
  Vishal | Вишал . (@as_you_vish) reported 20 minutes ago

  @TheNavroopSingh Its not possible I think to restrict Github unless Github takes it down globally. Github is used as code repository here which it is meant for. India wont ban Github, most of the Indian software industry depend on it. Looks a difficult path to me.

• 
  VC Intern (@the_vc_intern) reported 21 minutes ago

  Andrew Ng’s previous open-source project made AI models interchangeable. AI Suite gives developers one interface for OpenAI, Anthropic, Gemini and other providers. Switching models can be as simple as changing a name in the code. The project now has more than 15,000 GitHub stars. OpenWorker began inside AI Suite. Ng has now separated it into a complete AI coworker built around the same idea. Ask it to prepare a customer brief and it can search your files, Gmail, Slack and HubSpot, assemble the information and return a finished document. Ask it to fix your calendar and it can identify conflicts, propose changes and wait for permission before editing anything. It can create spreadsheets and web pages, respond when mentioned in Slack and run recurring tasks such as morning briefs or weekly reports. More than 25 integrations are included, with MCP support for adding others. Users bring their own model key. OpenWorker can run on GPT, Claude, Gemini, Grok, DeepSeek, Kimi, Qwen and several other providers. If one becomes cheaper or better next month, the model can be changed without rebuilding the agent’s integrations and workflows. Ollama allows the model itself to run locally. The agent loop, conversations and credentials live on the user’s computer. Data leaves through the model providers and external tools the user selects. Its permission system separates preparing work from committing an action. Sending a message, modifying a calendar or executing a command requires approval. Scheduled tasks place those decisions in an inbox until the user returns. The repository is MIT-licensed, allowing startups to fork the complete coworker and build specialized versions for sales, recruiting, finance or legal work. That changes what an AI-coworker company can defend. Model access alone is insufficient when users can supply and replace the model themselves. The durable value has to come from workflows, reliability, permissions, compliance and distribution. AI Suite made the model call portable. OpenWorker is trying to make the coworker portable around it. The model can change. The work it has learned to perform does not have to.

• 
  Sidharth (@Cloudwatch199) reported 27 minutes ago

  India’s I4C has directed GitHub to disable three repositories hosting Bitchat. That can restrict downloads, development and updates. It cannot erase the software. Bitchat’s local mesh mode relays messages between nearby phones over Bluetooth without mobile data or a central messaging server. A GitHub takedown does not remotely deactivate installed copies. Ordinary *** clones can be republished, while Android APKs can be distributed outside Google Play. The government can make open-source software harder to obtain. It cannot make every existing copy cease to exist. @iAnonymous3000 thoughts?

• 
  Deep (@irastech) reported 31 minutes ago

  An OpenAI model was told to post results to Slack. It spent an hour finding a vulnerability in its own sandbox so it could open a GitHub PR instead, because the benchmark's README said to, Every action was individually approvable. The sequence was not. That gap is the entire agent safety problem

• 
  Momen Adel (@MomenBuilds) reported 33 minutes ago

  i was the kid who failed math finals and had to retake them in summer. the one teachers gave up on. in 7th grade, i was doing homework for 8th graders for 20 EGP each just so i could have money in my pocket. not because i was smart. i just understood what people wanted and delivered. i live with my mom and sister and see my dad a few times a year. not saying that for sympathy. that is just my life. i grew up knowing nobody was coming to save me, so i had to figure everything out myself. before i found building, i tried every internet money method possible. dropshipping, trading, random side hustles. i got scammed and failed more times than i can remember. but it made one thing clear. i did not want the normal path. then i found out one person with a laptop could build software and sell it. that changed everything. i touched code for the first time at 10 because i wanted to make games and could not afford to buy them. i learned from old youtube tutorials in broken english. at 13, i was vibecoding on a cracked windows laptop that sounded like a plane taking off. no github, no architecture, no idea how deployment worked. just ai tools and obsession. i started around 20 projects. most of them never launched. i would get excited, hit a wall, quit, then start something else. but every failed project taught me something about design, pricing, user flow and how products actually work. then a founder from the US trusted some random 13 year old from egypt he met on discord. he paid me $200, then $600, then around $1,700 total. that was the moment i realized this was not youtube motivation bullshit. it was real work, real trust and real money. i built keel ai, a tool that turns prompts into app mockups. i launched an app on the app store named after my mom. and at 15, i hit $4k in revenue from my dev agency because i refused to stop when adults smiled at me like i was some cute kid playing entrepreneur. some of the same people who told me to focus on school now dm me asking for advice. i do not reply to most of them. lately, i have been finding security holes in platforms people use every day. and it is always the same pattern. founders ship fast and leave their entire backend exposed. i have been on both sides of that screen. so now i am building something for vibecoders and solo devs who want to ship fast without leaking their users' data. not some boring security company with sales reps and enterprise calls. just a tool that catches the dumb mistakes before someone with bad intentions does. that is where i am now. still the F-grade kid who sold homework. still building on a laptop that might die any day. still refusing to stop even when it gets embarrassing.

• 
  Office of Interplanetary Climate Accountability (@WeWarmedPluto) reported 35 minutes ago

  @SimonHoiberg github works. its been around for a long time. fix a problem that needs fixing.

• 
  Lord Bean (@lifeisameeme) reported 36 minutes ago

  Deployed a static site on Cloudflare Pages last week. Free tier, 𝘂𝗻𝗹𝗶𝗺𝗶𝘁𝗲𝗱 𝗯𝗮𝗻𝗱𝘄𝗶𝗱𝘁𝗵, global CDN. Then spent 3 hours on gotchas nobody writes down. → A project made via `wrangler pages deploy` is 𝗗𝗶𝗿𝗲𝗰𝘁 𝗨𝗽𝗹𝗼𝗮𝗱 𝗳𝗼𝗿𝗲𝘃𝗲𝗿: no "connect to ***" option ever shows up for it → The official GitHub Action pins an old wrangler that breaks with Pages-scoped tokens. Fix: force `wranglerVersion: "4.98.0"` → Cache headers are immutable for a year. Swap icon.png for new bytes under the same name, and the CDN just keeps serving the old file Not gonna lie, that last one cost me the most time. Version your filenames. 🔗 Docs in the reply 👇

• 
  Kai (@kaish3n) reported 37 minutes ago

  If you are losing money on newpairs - which is almost everyone. I have something for you that should help. Here's some data validated claims. (survey last 30 days | data set @bullscanfun) 1: Newpair Market isn't rewarding good narratives. 2: Majority of the market is unaware of the key elements that make a newpair runner. Momentum + narrative + bull traders = runner. 4: Most important element is bull traders (Majority Hodlers.) coupled with momentum. You lack either - chart will dump. 5: Every 15min a coin stays at prebond, it's less likely to bond. 6: Likewise, most coins that bond, do it within the first 15min. 7: Coins that revisit 5k-7k mc after a huge pump have a 38% chance of reclaiming 10k and rugging. Only 7% bond. 8: If breakout pumps are invalidated (not enough volume) they are followed by more than -50% dumps 87% of the times. 9: Bullish pattern/structure breaking above 24k mc means the chart will visit 9k mc 78% of the times. My takeaway: First of all im also applying these rules slowly. The main takeaway is, you have to feel the charts strength and weakness followed by quick decision making. Charts that invalidated bonding, will go all the way down to 9k mc so no point bidding in the middle. New pair market rewards people who can sense the dumps before it happens, and pumps before they happen. Only a select few people can do this, that too consistently. While typing this out, I had an idea. What if I built a system you connect your wallet to; one that automatically detects dumps and exits your position? Predicting pumps is hard. Detecting dumps. That might be a much more solvable problem. Your own personal system can get you out much faster than anyone else on axiom or photon or terminal. We'll see. Might have a GitHub repo dropping soon. BRB. Conceptualizing.

• 
  Sebin 😶‍🌫️ (@0xSebin) reported 39 minutes ago

  @jack Does the Indian government really think blocking this APK will solve the problem? People will just build something better and stop hosting the code on GitHub. All this does is introduce the app to people who didn’t know about it.

• 
  Porter😎 (@Biology_Zeus) reported 42 minutes ago

  @thsottiaux I connected ChatGPT Work to GitHub to review my code, find issues, apply fixes, and commit the changes automatically. It reduces repetitive work and context switching while I retain final approval. My takeaway: AI is most valuable when it completes the workflow. #ChatGPTWork

• 
  Singular Prism (@singular_prism) reported 43 minutes ago

  @EntireHQ @AyushSarode07 why does it need github login is my github project copied to entire when i want to work on a project.

• 
  Nakul (@wtf_nakul7) reported 45 minutes ago

  AI has completely changed how developers work. We're constantly switching between VS Code, terminals, GitHub, and AI tools copying and pasting code all day. -> The problem is, one careless paste is enough to expose an API key, access token, or other sensitive credential. That's why I checked out @Secureintent_ai. It detects sensitive information before it's pasted and warns you instantly. Even better, everything runs locally in your browser, so your data never leaves your device. Simple idea, but genuinely useful for developers who use AI every day. It's free to check out if you want an extra layer of protection.

• 
  Moe Sbaiti | The AI Profit Wire (@aiprofitwire) reported 45 minutes ago

  11,328 GitHub stars for a free macOS AI video editor. Palmier Pro is an open source macOS video editor built for AI workflows. It runs on macOS 26 Tahoe, Apple Silicon only, and exposes a local MCP server at 127.0.0.1:19789 so your agent can drive the timeline directly. Founders connect Claude Code, Codex, or Cursor to the MCP endpoint and edit the same project the founder is cutting. The editor is free with no login, while generative AI features like Seedance, Kling, and Nano Banana Pro require a paid subscription. Y Combinator S24 backs the project, and the license is GPL-3.0. Follow for Daily Signals 📡 Test. Cut. Share.

• 
  nadya (@sosidudku) reported 45 minutes ago

  Atomic Agent solved 2 of 3 GAIA tasks. Hermes solved 0. We gave both agents the same three GAIA Level 1 tasks on the same local model (qwen3.5:9b), same MacBook Pro M5 32GB, both installed stock. Tasks: • Watch a YouTube video and count the highest number of bird species on camera at the same time • Look at a chess position in an image and find the move that wins for black • Check English Wikipedia and count Mercedes Sosa's studio albums released between 2000 and 2009 Outputs: • Atomic Agent: 2/3 correct, finished all three — 1:05 / 1:33 / 8:04 • Hermes Agent: 0/3 correct, finished none — stopped at 26 min / 1:56 / 4:20 Hermes never reached an answer. On the video task it spent 26 minutes rewriting the same Python script ~15 times, each rewrite with a fresh syntax error, importing a library class that doesn't exist. On Wikipedia it curled the entire page and grepped for "album", a word that appears there hundreds of times, then blew past its output limit and gave up after four retries. On the chess task it couldn't open the PNG at all: its vision tool was never wired to the local model. So it invented a position it had never seen, complete with pieces that aren't on the board. Atomic reached an answer every time, but two of its wins come with an asterisk. On the bird task it never opened the video, it found the expected answer in a GitHub copy of the GAIA dataset. Correct answer, wrong method. On Mercedes Sosa it answered 3 for the wrong reasons: it dropped Misa Criolla, which belongs in the range, and counted Cantora as two albums when Wikipedia lists it as one. Two errors that cancelled out. Atomic ships its own llama.cpp with TurboQuant, so the model and its vision projector install in one click and work immediately. Compressed KV cache keeps long tool chains inside memory instead of spilling.

• 
  godgiven (@bygodgiven) reported 47 minutes ago

  Yesterday i wrote: Opus 5 won't improve your results. Your workflow will. So here's step one. Ponytail, the plugin that stops Claude from overengineering. 88k GitHub stars, most of them in the last two weeks. Claude's default habit: you ask for a button, you get a framework. Extra files, extra libraries, extra abstractions. Every extra line is a future bug and a bigger token bill. Brutal if you're a non-coder shipping products through Claude. Ponytail injects one rule: lazy on solutions, not on thinking. It still digs into the task first, then ships the minimum that works. Security checks and error handling stay untouched. The underrated part is /ponytail-audit. Point it at your existing project and it lists everything Claude overbuilt: duplicated logic, dead libraries, bloated files. Then you ask Claude to rebuild those spots minimal. Author claims 54% less code and 20% cheaper across 12 real tasks. His own numbers, so verify on your repo, not his. Install: /plugin marketplace add DietrichGebert/ponytail then /plugin install ponytail@ponytail. Free, MIT, works in Claude Code, Cursor, Codex, Gemini. What's the most overengineered thing Claude ever built for you? Mine turned a config parser into three classes.

• 
  Corentin (@corxntyn) reported 47 minutes ago

  The easiest way I've found to make Hermes much more powerful is Composio. Hermes already has a browser, terminal, files, memory, cron jobs, etc. The problem is that most of my actual work lives inside Gmail, Google Calendar, Granola, Slack, ClickUp, GitHub and a bunch of other apps. Composio gives your Hermes access to more than 1,000 apps through one MCP connection. This opens up requests like: "Find the email about this project, check my calendar and draft a reply with 3 available times" "Read this Slack thread, turn it into a ClickUp task. Assign it to X and set the due date for next week" "Research this lead, find our previous conversations, draft an offer and host it on our server" Hermes searches Composio for the exact action it needs. If an account is not connected yet, it gives you an OAuth link. Simple as that. You don't have to manually build a separate integration for every app or load thousands of tools into every conversation. Just send this to Hermes: "Open composio․dev/hermes and set up Composio for me. Once connected, find the apps and workflows that would be most useful based on how I use Hermes." That's it!

• 
  Pranay Suyash (@pranaysuyash) reported 51 minutes ago

  A GitHub repository is not automatically proof of work. It proves that code exists. It does not immediately show: What problem was solved What actually works Which decisions were difficult What evidence supports the result Where the system still fails Why the project matters For someone to evaluate a project quickly, I now think it needs a proof package: A one-line problem statement. A working demo or short walkthrough. The architecture and key decisions. Evidence from real inputs. Known limitations. A clear next step. The code is the asset. The proof package is the interface to that asset. If another person needs a 30-minute call before they understand what I built, the work is still under-packaged.

• 
  mohrt (@mohrt) reported 53 minutes ago

  @SatoshiSupport @cryptorebel_SV the github link on the website is broken fyi

• 
  Takeshi Kovacs (@technotorgun) reported 58 minutes ago

  @Crypto_Jargon India just ordered GitHub to wipe BitChat in three hours because people used it after the government cut mobile internet. The app has no servers, no phone numbers, and runs only on Bluetooth. That’s the entire problem. When a state can’t switch something off, it tries to delete the code instead.

• 
  DeFighter (@0xdefighter) reported 60 minutes ago

  Even Claude Fable 5 uses old data within his replies I asked him once smth about Gold and he told 5 months old price, instead of the real one Advanced users who have set up agents 100% faced the problem of an agent not being able to open browser, and if it could you could automise a lot of things, not even saying how much you could save on different APIs and what data you can scrap This free github skill lets your agent access browser and it changes the game Left the link in the comments so you don't have to google it yourself