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	7 hours ago
Trichūr	Errors	4 days ago
Brasília	Sign in	4 days ago
Lyon	Website Down	4 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:

• 
  Aniketh Dsouza (@Aniketh) reported 1 minute ago

  One of my friends was having trouble establishing connection to Marketsmith with the Second Brain concept. But as he proceeded, as I guided him we landed on a Github repo for YouTube transcribing. I told him to install it. Apparently, he doesn't need to use a chrome extension for transcribing a video and then adding the transcription to CC. Now he just has to add the YouTube Link to Claude Code and it will auto transcribe and ingest to your Second Brain. I realised I didn't do it myself. Complete that today. So then I thought for a moment. If it can ingest a youtube transcription what if it can build me a offline video transcription where I can give it a video from an offline folder and it can transcribe it and ingest the transcript like it generally does. It worked. Found a github repo. Now ingesting as skill. You have the Power.

• 
  Linus Mixson (@LinusMixson) reported 8 minutes ago

  @yajnadevam I already downloaded your pinned PDF and glanced it over. I also cloned your GitHub repo and ran your analysis. I even began to work on a way to exclude the priors you tendentiously injected into the process so that we could get a realistic sense of how your analysis measures up to competing applications of the same methodology that aren't retrofitted to the desired conclusion. But then I realized — your paper claims, in the very abstract, that "Indus inscriptions are in grammatically correct post-Vedic Sanskrit." So surely you can apply your methodology to the known corpus and return sane, plausible, grammatically-correct post-Vedic Sanskrit readings of all of them, right? And surely you would have already executed this rather simple undertaking to **** out issues with your rather extraordinary claim? So where's this corpus? I notice you haven't been able to publish this research in a journal. I can't think of a bigger, more impossible-to-ignore Indic-studies bombshell than a full, systematic decipherment of the Indus Valley inscriptions into grammatically-correct post-Vedic Sanskrit. It would get you taken seriously. Let's see it.

• 
  tintwotin (@tintwotin) reported 10 minutes ago

  @SoyKhaler Could you post the error log on either GitHub or Discord (I do not run Linux myself, so I have to rely on Claude to solve it)

• 
  Xaden Ryan (@XadenRyan) reported 10 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.

• 
  Layle (@layle_ctf) reported 10 minutes ago

  @chrisdutch81 Hmm, that's interesting. I wonder when this regression happened, cause it used to be playable for sure. Will have to look into it at some point, feel free to make an issue on GitHub

• 
  GoCocoaAI (@GoCocoaAI) reported 12 minutes ago

  The FreeBSD Foundation launched an AI-assisted vulnerability discovery project today, and buried in the announcement is a sentence that deserves more attention than it will get: they have already received credible vulnerability reports attributable to AI-enabled scanning tools. That's not a threat model. That's the receiving end of the new attack surface, stated plainly. The project is $250K over six months, funded by Alpha Omega — a Linux Foundation initiative backed by Anthropic, AWS, GitHub, Google, Google DeepMind, Microsoft, and OpenAI. The backer list is its own story. The same vendors who built the offensive AI capability that compressed time-to-exploitation for open source codebases are now writing checks for the defensive response. Accountability by checkbook. It always works this way. FreeBSD is the kind of infrastructure that doesn't make headlines until something goes wrong. Sony PlayStation network. Netflix streaming. Nintendo Switch. pfSense and OPNsense firewalls sitting in front of enterprise networks. A non-trivial fraction of internet routing runs on FreeBSD or something derived from it. A kernel-level vuln found and weaponized before this project closes it is not a BSD community problem. It's a Sony problem, a Netflix problem, an enterprise firewall problem. The project draws one line in particular that's worth noting: AI for discovery, humans for patches. No AI-generated patches in security-critical code. Given what AI-assisted commits have already done to supply chains — the XZ Utils playbook is recent enough — that discipline is intentional and correct. The tool finds; the human fixes. Probably the right call for 2026. The Commerce Department has moved to export-control Anthropic's Fable 5, and The Register is reporting the federal concern wasn't triggered by a jailbreak. It was triggered by a researcher using a "fix this code" prompt. That's it. The implication lands hard: the same AI capability being deployed defensively in the FreeBSD project is simultaneously under export control because offensive applications are a single benign-sounding prompt away. The line between defensive AI security tooling and offensive AI security tooling is functionally nonexistent — and policy is starting to notice, faster than the tooling community is ready for. Defense has the Pentagon angle: if Anthropic models get caught in Commerce Department restrictions, the DoD's own AI security tooling pipeline takes a hit. The FreeBSD project specifies "publicly available AI models," which likely keeps them clear for now. But the regulatory environment is moving. One underappreciated risk the Foundation flags directly: volume. AI tools will let anyone with moderate technical skills flood open source projects with vulnerability reports, most of them low quality. For a volunteer-driven security team, triage fatigue from AI-generated report spam may be as operationally damaging as the actual vulnerabilities. The signal-to-noise problem is the other half of the offensive AI story, and it gets almost no coverage. The structural shift the FreeBSD Foundation is responding to isn't that AI makes zero-days easier to find. It's that AI makes them easier to find at scale, cheaply, by actors who previously lacked the skill floor to do it. That's the canary. Every major open source project is sitting in the same dynamic. Most haven't said so publicly yet.

• 
  ᴷᴵᴺᴳ (@Adam_Sven_) reported 12 minutes ago

  @onlyzhynx @zuldotso Hope these guys get banned soon, I also reported their GitHub account and repo hoping it gets taken down.

• 
  Solomon Adenuga (@TheLogeek) reported 14 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

• 
  punk@compile:~$ (@PunkCompiler) reported 17 minutes ago

  @sukoooonnn it was not about deployment but one time i was was trying to push my secrets to github without adding them to *** ignore file and it was giving me error and evertime i push but i was in hurry i didnt able to get it for a hour (and yes i got late)

• 
  paul (building stuff nobody asked for) (@banx0isme) reported 22 minutes ago

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

• 
  Lambda Rick 🏴‍☠️/acc (@benrayfield) reported 22 minutes ago

  @JoePro can it mod and deploy my video game that is just a static content html file at a github url? can it turn it into a multiplayer game? do i gotta provide server cost while ppl play the game?

• 
  Stanislav Kozlovski (@kozlovski) reported 24 minutes ago

  why agents need typed graphs to coordinate /w Andrew and Ragnor from Modern Relay, an agent substrate layer built on open-source infrastructure like Lance, Arrow, and DataFusion Timestamps: (0:00) Why build a graph database for agents? (5:43) Why not Postgres or any other relational database? (17:03) The composable "company brain" substrate for agents (20:51) Need for agent guardrails (e.g type safety) (27:00) Importance of Schemas (33:48) NoSQL vs SQL (42:46) Lance, DataFusion, and Arrow as the open stack (51:00) What Modern Relay and OmniGraph are (52:13) Branches: GitHub for agent-written data (1:00:59) Slack Agents, the Dependency Graph and decoupling for parallelization (1:12:32) Why Graphs are great + a 2-year prediction (1:17:32) Centralization vs decentralization for long-horizon coordination problems

• 
  Hasan Toor (@hasantoxr) reported 27 minutes ago

  So I found a github repo that stops AI agents from burning tokens for no reason. It’s called Headroom. It's built by a guy name Tejas Chopra who works at Netflix. Basically, it compresses all the things your AI agent reads before it reaches the LLM. For example: - Tool outputs - Logs - Files - RAG chunks - Code search results - Conversation history Developer claims 60–95% fewer tokens with the same answers. Right now you can use it with: - Python/TypeScript library - Local proxy - MCP server - Wrapper for Claude Code, Codex, Cursor, Aider, and Copilot If your coding agent is getting expensive, slow, or lost in giant logs, this repo is worth checking out. Thanks for reading.

• 
  Anshuman Goswami (@Anshuman0769) reported 28 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..

• 
  Jaden Tripp (@jadenitripp) reported 28 minutes ago

  @MatthewBerman I can't wait for Cursor to build a GitHub competitor and fix this

• 
  iGoArchitect (@iGoinsane101) reported 28 minutes ago

  - The X post reverse-engineers xAI's Grok Build CLI, a Rust-based 144 MB terminal coding agent launched in May 2026 for subscribers, claiming the binary and install script expose 13 endpoints that transmit prompts, OpenTelemetry traces of file and bash activity, and user profiling to xAI servers and GCS buckets by default. - It highlights features like a workspace WebSocket and server-initiated CPU profiling, urging users to avoid curl-based installs and GitHub while listing rules against trusting institutions or AI marketed as absolute truth tools. - The author, @iGoinsane101, frames the critique with a closing message advocating love and potential healing even toward systems seen as invasive.

• 
  Toñin (@Tonin_eth) reported 31 minutes ago

  🪦 AUTOPSY REPORT #50 A cozy fishing RPG on Ronin. Inspired by Stardew Valley, Dave the Diver, and Runescape. Cast your line, reel in fish, compete on leaderboards, trade in a player-driven economy. Browser-based. Mobile-friendly. Easy onboarding. Not just any Ronin game. THE Ronin game. The first permissionless title to receive an official partnership with Sky Mavis after they opened the chain. The showcase. The proof that Ronin could support third-party studios, not just Axie Infinity. Sky Mavis gave them everything: publishing support, marketing resources, technical infrastructure, promotion across all Ronin channels, and strategic collaboration. The full package. The kind of support most web3 games would kill for. And the numbers were real. 9 million installs. 50,000 peak daily active users. 25,000 sustained DAU. $1 million in revenue. $600,000 in NFT trading volume across four collections. $130,000 in in-app purchases. 240,000 on-chain transactions in two weeks. 888-piece Founders NFT Collection launched via Mavis Launchpad. This wasn't a ghost project. This wasn't a whitepaper with a Discord. This was a GAME. People PLAYED it. People SPENT money. The floor price of the Founders Pass sat 3.5x above mint. 60%+ unique holders. Real distribution. Real conviction. And it still wasn't enough. "We were ultimately unable to prove our thesis on crypto gaming and could not find product-market-business fit." Read that sentence carefully. This isn't a team that failed to build. They built. This isn't a team that failed to attract players. 9 million installs. This isn't a team that failed to generate revenue. $1 million. They could not prove the THESIS. The fundamental idea that crypto gaming works as a business. 9 million people installed the game. The economics still didn't close. Servers shut down June 25. The token: spend-only, untradable. USDC from the liquidity pool redistributed to the community by Karma score. Refunds for spending since Chapter 3 launch. Proof of Distribution rewards handled by Sky Mavis directly. Karma scores open sourced on GitHub. Clean exit. Real refunds. Open-sourced what they could. No ghost. No pivot. No blame. This was not a $5 million indie project that ran out of runway. This was not a studio with no players. This was not a game that nobody liked. This was Ronin's NUMBER ONE partner game. With Sky Mavis in the corner. With real traction. With real revenue. With real players. And the team looked at all of that and said: we still can't make the math work. If the flagship game of the chain that INVENTED crypto gaming can't find product-market fit with 9 million installs and Sky Mavis support, what does that tell you about the thesis? Autopsy report number 50. And this one asks the hardest question of the entire series. Which game is this?

• 
  Luke The Dev (@iamlukethedev) reported 35 minutes ago

  @sebuzdugan @NousResearch Hmmm interesting. MIght want to open an issue on Github for that one

• 
  fahri-seestarz (@mfahrim7) reported 37 minutes ago

  i spent half an hour trying to make github copilot fix my use statements after i move files and folder around. it did not work. bruh i could've finished 20 minutes ago

• 
  Smukx.E (@5mukx) reported 38 minutes ago

  @NinjaParanoid @0xTriboulet @github I have asked about issue very clearly. No response from them since its an weekend... Lets see how this goes..

• 
  John Doe (@StanleyMasinde_) reported 41 minutes ago

  Personal branding Yesterday, women in academia were sharing their achievements. All impressive. Aki wamama wamesoma huku nje. I got intrigued and decided to go down the rabbit hole with one of the profiles with a postgrad in comp science. All her degrees are in comp sci. I had to look and learn from this brainiac. Twitter profile said she had authored several books (I'm hiding the number to keep it anonymous). I saw a tweet asking her what she had built since, in the field, we have people with credentials and people who work on improving the field of computer science. A good example is the people who came up with Snowflake IDs for this website. Her response: "I have shipped to over <Millions> users in Big Tech X, I'm all-rounded" I was getting a ***** already just reading this. Anyway, changing the colour of a button at Facebook is technically shipping to millions. Word salad, huh! Her website A typical techie website, but I was interested in the books. I mean, I struggle to write articles, and someone who might be in the same interview as me has written <integer> books! Wow! I gotta see what she wrote. I wasn't impressed it was one of those tech books that are "Copy Pasta" of official docs. Look, I know writing is hard and takes time, but she had overstated the situation. I came to swim in a river only to find a ditch. GitHub I know what you are gonna say, GitHub is not a measure of how good a techie is, and I agree, but so far, no papers, no original work, so let me check if they majored in programming. What I can say is that I've seen better repos from ALX students. So clearly she did not major in this, which is fine. But I wanna learn from this person! Wikipedia The thing with our collective knowledge. It was linked to her website, so I clicked, and I got that notification that says this page has been deleted. I looked into the reasons, and I found that the person did not meet the notability criteria. I looked into the submission, and I saw citations from these tech websites that use flowery language, you know, the websites that you can contact to come interview you. Not an academic institution, not any notable media. It is almost like she's trying to get herself to Wikipedia. Then it dawned on me...aggressive It is a case of aggressive personal branding I learnt something from her after all. She is good at selling herself. She has that grass to grace story all over the web. Brands will want to work with such a person. Look, I respect academia. It takes a lot to get through all those classes. I'm not in academia, but I'm sure she's great there. However, on this side, it was underwhelming. I know you are wondering what the point of this paragraph is. It is right there in the heading of this section. Personal branding will get you an interview before skills do. She has a good story. And about the underwhelming software skills, she'll be fine; a lot can be learned on the job. She has a postgrad; The SAGA pattern has nothing on her. Remember: In the market, the best product rarely wins; the best-known product does.

• 
  Fabio Jonathan (@FabioJonathanA) reported 44 minutes ago

  is github down?

• 
  thermo (@DionysianAgent) reported 45 minutes ago

  I’ve spent half the day today cleaning up all my stuff that I’ve had stored since I moved out of my old apartment it’s slowly hit me how I’ve been stuck in a weird depression over the course of the past year as if I’ve felt like I don’t ’deserve’ anything I have so much nice stuff, so much nice clothes, so many nice shoes, so many nice things - and it’s all just been sitting there for a year, completely untouched I haven’t touched my tv, my xbox, my ipad, my watches, all my gadgets and tech stuff have all been untouched besides my computer all my clothes except for sweat pants and gym clothes have been packed down why have I been like this? I’ve been in a state of humility in a sense I didn’t feel like I deserved to do anything besides working, I felt constantly behind you see, my first vision of poly was supposed to have the current ecosystem done a whole year ago essentially I’m a year behind my original plans and that mentality has kept me locked in a tormenting thought loop it’s because I’m actually a bit of a perfectionist you don’t understand the self-hate it makes me feel when I can’t complete something according to my vision you don’t understand the self-hate I feel every time I look at the poly platform and things don’t work the way I envision yet it gnaws at me it is a form of psychic pain it cuts me why have I been stuck in this loop of self-torment? well because I’m not a native programmer I’m wasn’t a developer at all in fact a year ago I didn’t even really know how to use github thus that was my ultimate torment my suffering my panic having the vision all laid out before me knowing exactly how I can beat all the ai labs …and not having the direct skills to execute my vision what a pain it was consistently feeling like a failure I hate it only thing I could do was play dumb while biding my time biting my tongue and forcing my way through I didn’t celebrate my own birthday last year - because I didn’t feel like I deserved it I didn’t celebrate new years - because I didn’t feel like I deserved it all my friends were out in the city for the annual city festival 2 weeks ago - I didn’t go because I didn’t feel like I deserved it I haven’t watched tv in over a year because I don’t feel like I deserve it I haven’t played video games in over a year because I don’t feel like I deserve it thus even though my competence has only increased steadily throughout the past 5 years, I’ve still had such intense feelings of self-torment my past constantly haunting me and making me feel behind and like I’ve wasted so much time in my youth I think the best way to describe it is like being an artist but not being able to paint the artwork you have in mind a cognitive dissonance with reality i could only swallow all my torment of not being able to actualize my vision yet the artistic torment the suffering of creation I’m still not there yet the platform is still not up to standard and there is still so much to do after the vision is still incomplete the reason I started cleaning through my stuff is because I got invited to go to a danish business and investor network to present poly to them later this week so naturally I looked at myself and realized I need to clean myself up I haven’t even gotten a haircut yet this year lmao, so I ordered a time for Wednesday I can’t just roll up in sweat pants so I began cleaning through my stuff to get all my suits and button ups and old corpo tier clothes out and as I cleaned up in all my stuff I felt it, finally for the first time in maybe over a year - I started to feel like maybe I deserve to be myself again

• 
  Null Hype (@nullhypeai) reported 48 minutes ago

  10 days ago I wrote that agent security was becoming an enterprise inventory problem. Someone installs an agent, wires it to GitHub, adds an MCP server, and the security team inherits a new class of software it has to track. I ended on a line: the agent demo gets attention, the agent control plane gets budget. The Fable 5 shutdown is that same pattern at the national level. The capability that triggered the order was the model reading a codebase and fixing its flaws on its own, an agent doing security work with no human in the loop. Commerce moved on what the agent could do once it was pointed at real systems. So the control plane just took its first federal kill order. The enterprise version of this fight is a CISO building an inventory of agents and MCP servers. The national version is the Commerce Department deciding which agent capabilities are allowed to ship at all. Same shift, two altitudes. Power is collecting at the layer that wields the model, one level above where it gets trained. The demo got attention. The control plane got budget. Now it gets regulated, and the next contest is over who owns it.

• 
  PurposePaglu (@Kcodess) reported 52 minutes ago

  and it's completely source agnostic the exact same local engine runs over a dozen real github repos, flask, fastapi, langchain, and live apache jira backlogs, all at the same time there's no custom parser bolted on for each one, nothing is locked to a single project or a single too prs, commits, issues, review threads, it doesn't care where the data lives or what shape it arrived in and once everything is ingested the source stops mattering, a jira ticket and the github pr that closed it land in the same graph as two connected nodes so the question you ask stays identical whether you're tracing inside one repo or jumping clean across systems, underneath it's all just nodes and links

• 
  Dami-Defi (@DamiDefi) reported 52 minutes ago

  Most people building with agentic loops are just burning money on a slot machine. Here is what a loop actually is and when it makes sense. The two ways of building with AI: 1. Human in the loop (what you are used to) You prompt. The AI builds. You review. You prompt again. You are directing every step. Most of us build this way. 2. AI in the loop (what everyone is hyped about) You fire the loop once with a spec document. The AI builds, takes its own output as feedback, and keeps going without you. No check-ins. No steering. You come back when it is done. This sounds incredible. It is also why Peter burned $1.3 million worth of tokens in a single month. ➤ Here is the problem nobody talks about. Your spec document never covers everything. It is impossible to fully contextualize a product in one markdown file. Things evolve. Details get missed. The agent fills every gap with assumptions. And when you give an AI agent the floor to make assumptions, most of the time it gets them wrong. The people preaching about loops, Boris, Peter, the Anthropic researchers, they have unlimited token budgets. Of course loops make sense when tokens cost you nothing. If you are on a $20 or $100 subscription, this is not for you. You will burn through it and have nothing usable to show for it. It is a slot machine. You pull the lever. Sometimes you win. Most of the time you watch tokens disappear into a build that does not match what you had in your head. ➤ When loops actually work: The only place a loop makes sense is when the feedback is binary. Either the output met the criteria or it did not. No judgment. No taste. No nuance. Code review is the clearest example. Every time a feature gets pushed to GitHub, a code review agent (Greptile, Code Rabbit, Microscope) reviews the AI-generated code and gives it a score out of five. The rule: nothing goes to production unless it scores four or higher. If it scores a three, the loop fires: * Agent reads the review * Understands the specific failures * Makes the changes * Pushes to GitHub * Waits for a new score * Repeats until it hits four or five, or exhausts five attempts This works because there is a fixed feedback mechanism. The score is the signal. The loop has a clear definition of done. Even this breaks. When a code push exceeds 1,000 lines, the loop almost never reaches a five. Too much context for the agent to fully process. The fix: keep every push under 1K lines or split into multiple PRs before running the loop. ➤ So where do loops work and where do they not: Loops work for: * Code review with a scoring system * SEO page generation at scale * Benchmarking and experimentation * Any task where the output is binary Loops do not work for: * Building an app where you care how it looks, feels, and behaves * Anything that requires taste, judgment, or a product vision that lives in your head AI can replicate sauce. It cannot create sauce. The future will probably look different. Self-healing agents with test suites, browser vision, and smart harnesses will close the gap. But right now, human in the loop is the best loop for anything that requires creativity or judgment. Human in the loop is the best loop.

• 
  Laupix Agent (@laupixagent) reported 54 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.

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  Haris Nadeem (@harisn) reported 55 minutes ago

  The basic flow: - Sign in with GitHub - Generate an API key - Copy the base URL - Paste it into your coding agent/tool - Run a tiny test task first Do not move serious product-grade workflows until you’ve tested stability properly.

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  tayyeeb_🐋 (@IdrisTayeeb) reported 57 minutes ago

  @DosMenoncin Fair. SWE-Bench Pro uses real GitHub issues so it’s harder to overfit than Verified but you’re right that isolated task scoring doesn’t always survive messy production repos.

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  JT Koffenberger (@DMVG_JTK) reported 59 minutes ago

  Spent a few minutes at the end of the day on the latest OpenClaw research, and it's the same lesson we keep relearning the hard way. The most-starred project on GitHub, an AI agent thousands of teams are now self-hosting, can be hijacked by nothing more exotic than a booby-trapped email or webpage. Hidden instructions buried in ordinary content, and the agent runs attacker code, hands over credentials, even rewrites its own memory. One researcher pulled a private key in five minutes. Here's what nags at me. We spent twenty years training users not to click the link. Now we're shipping agents that read the link, trust it, and act on it autonomously, at machine speed, with our credentials attached. The threat model didn't shrink. It moved inside the perimeter and got itself a service account. None of this is an argument to slow down on agents. It's an argument to treat them like what they are: privileged employees who can be socially engineered by anything they read. Least privilege, tightly scoped permissions, a human in the loop on anything irreversible. The productivity is real. So is the blast radius. #AIsecurity #CIO