1. Home
  2. Companies
  3. GitHub
GitHub

GitHub status: access issues and outage reports

No problems detected

If you are having issues, please submit a report below.

Full Outage Map

GitHub is a company that provides hosting for software development and version control using Git. It offers the distributed version control and source code management functionality of Git, plus its own features.

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.

At the moment, we haven't detected any problems at GitHub. Are you experiencing issues or an outage? Leave a message in the comments section!

Most Reported Problems

The following are the most recent problems reported by GitHub users through our website.

  • 57% Website Down (57%)
  • 34% Errors (34%)
  • 9% Sign in (9%)

Live Outage Map

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

CityProblem TypeReport Time
Ingolstadt Errors 3 days ago
Paris Website Down 4 days ago
Berlin Website Down 5 days ago
Nové Strašecí Website Down 13 days ago
Perpignan Website Down 17 days ago
Piura Website Down 18 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:

  • anylink20240604
    AnMioLink (@anylink20240604) reported

    @weezerOSINT OK, i saw the github issues.

  • stevemcniven
    Steve McNiven-Scott (@stevemcniven) reported

    @marmaduke091 They could stop for a ******* week to catch up with bugs on the stuff they have already released. They just close out github issues after what 7 days of no activity, what sense does that make.

  • harry__politics
    Harry (@harry__politics) reported

    @ValueRaider @littmath @pfau Source: Claude said so in this GitHub issue.

  • gabriel_micko
    Gabriel Mičko (@gabriel_micko) reported

    @bcherny @zeeg In VSCode when I pull in a file I don’t want claude to read it. There are at least 3 issues about this on github. It is a security issue.

  • PaulGugAI
    GooGZ AI (@PaulGugAI) reported

    PSA: Hermes Agent / OpenClaw & Godmode (GODMOD3) Be aware that this exists. GODMOD3 (on github) lets you chat with most LLMs through openrouter. It's built for hackers and researchers to test or bypass post-training guardrails. Has all sorts of implications. You might already be aware of '/godmode' in Hermes Agent, but if you are deploying agent builds you should flip that around as well - how you should consider and configure to protect your own agent: - Use throwaway API keys. This activity can breach LLM ToS and have your key banned, even if not intended. - Limit sensitive data in chat. No PII, passwords, API keys, IP. Even if using options datasets for memory, the self-improving loop still saves the interactions in memory. Assume anything you say sstays on your server forever. - Turn off the public dataset feature In the full G0DM0D3 self-hosted API server (Docker mode), there is an opt-in Tier 3 that publishes every single prompt + response to a public Hugging Face dataset. The PII scrubber is best-effort only and not 100% reliable. Once it’s on Hugging Face, it’s public forever. Just don't enable it. - Audit and lock down your Hermes Agent / OpenClaw setup. Review your config for any godmode scripts you are loading. Check the security policy in the repo frequently for vulnerabilities. - When deploying, disable godmode in your configuration. Red-team your own agents with the aim of bypassing guardrails. - Question your setup legally / ethically. You are still fully responsible for anything the agent outputs. Bypassing safeguards does _not_ make illegal or harmful use legal. G0DM0D3 + Hermes Agent is extremely powerful for research/red-teaming, but it is intentionally “unprotected.” Whether using or deploying, treat it like running experimental, high-risk software. Isolate it, burner keys, and keep sensitive data well away from it. For those more in the know than me, feel free to add or correct below. Would be great to cover this off for everyone’s benefit 👇

  • luftraptorAD
    Jubilance - Off Record (@luftraptorAD) reported

    @IS458C_daq25so Perfectly legal anywhere that isn’t specifically the jurisdiction you complain from, square has no ground to stand on and won’t even be able to successfully DMCA the GitHub They will have to prove the modders are distributing protected code. The server they made is from scratch

  • liz
    🦊 (@liz) reported

    github your status page is lying, pushes are not working.

  • MedusaOnchain
    Medusa (@MedusaOnchain) reported

    places to upload files instead of google drive for FREE: + send files to yourself on discord (your own server) + telegram saved messages + github private repos + slack DMs to yourself + twitter DMs to yourself + notion pages + whatsapp messages to yourself they all keep original quality yeah i use telegram saved messages for everything now

  • the_smart_ape
    The Smart Ape 🔥 (@the_smart_ape) reported

    > find a cool github repo that cuts your ai tokens cost by 50%. > looks legit, 5,247 stars. 120 forks. active issues. clean readme. > clone it. npm install. done. > next morning: crypto wallet drained. locked out of gmail, icloud, x. your private family photos are online. > life will never be the same.

  • dodgelander
    dod (@dodgelander) reported

    @SuperClawPaul @dwlz how about an amd senior engineer on github issues

  • retardedguymeme
    Retarded Guy (@retardedguymeme) reported

    @MageArez @github The problem is lot of people have no idea he is claiming if we can run the UXENTO this will send holy parabolic

  • analyzedinvest
    Analyzed Investing (@analyzedinvest) reported

    Microsoft is building OpenClaw into M365 Copilot, and it's a bigger deal than it sounds. OpenClaw is the fastest-growing open-source AI agent framework: 354K GitHub stars, 70K forks, 44K skills listed. Now Microsoft has a dedicated team (led by the former head of Word) building always-on agents that work across your M365 apps end-to-end proactively, not just when you ask. The vision: AI that doesn't wait for a prompt. It just gets the work done. Why it matters: Copilot shifts from assistant to autonomous worker Multi-model (OpenAI + Anthropic) means best-in-class for every task If they solve the security problem, this will change enterprise productivity permanently The open-source agent wave is colliding with the enterprise stack. Microsoft wants to be where they meet.

  • emmanuelao_
    Emmanuel AO - The DevOps Fixer 🐧 (@emmanuelao_) reported

    Certificates don't make you an engineer. Shipping broken things and fixing them does. Your GitHub is a better CV than your Coursera.

  • Stumblinz
    Stumblinz (@Stumblinz) reported

    @dev_maims This is starting to become me at work. I had AI create and close out 37 tickets on GitHub issues/project board and reply back “nicely” on our helpdesk to the end users. Spec out any tickets that needed a spec for devs. Honestly. It was really funny and AI is like 50% me now.

  • nonime67
    nonime (@nonime67) reported

    there are projects like hydra ect for steam like game launchers but the proiblem is cloud which costs ah lot, but what if instead of hosting anything u use like idk, github account linking and like you create a private repertory where most ur data is so that its minimal on server

  • NieRFan999
    NF99 (@NieRFan999) reported

    @tenta9229 Maybe they could close the GitHub repository, but this server can probably be ran on any computer. It does not appear that advanced. The official project is not even running a server. They are just giving the code so people can run their own. Server might be a misleading name

  • Eduardopto
    Ed (@Eduardopto) reported

    @AnthropicAI is facing a weird feedback loop: users are complaining that Claude’s output quality is nosediving, and @claudeai itself agrees. The model analyzed its own GitHub repo and confirmed that quality-related issue reports have escalated sharply since January. This decline coincides with Anthropic aggressively throttling capacity during peak hours to manage server load. We are seeing a dangerous trend where infrastructure constraints directly degrade model performance. When you optimize for reliability and cost, the "intelligence" is the first thing to hit the cutting room floor. It’s hard to build robust agentic flows when the base model’s reasoning capability fluctuates based on the time of day if you are building right now, what does this actually unlock or kill?

  • INN2046
    Innovation Network (@INN2046) reported

    Aragorn Meulendijks saw something on Reddit. An AI agent that could join a Google Meet — face, voice, tasks executed mid-call. He forgot about it. A few days later a friend reminded him. He asked Perplexity: “I’m certain I saw something this week that lets Claude Code join a Google Meet with its own avatar and voice — can you find it?” Perplexity returned the exact link in seconds. It was PikaStream 1.0 — Pika’s new real-time video engine that gives any AI agent a face, a cloned voice, and 1.5 second latency. Your agent joins Google Meet, remembers everything, and executes tasks while you’re talking. It just went open source on GitHub. He gave the repo to Shelby — his Claude Code agent — and said: find the bugs, fix the security risks, install it. Shelby ran a full dev cycle autonomously. Failed four times. On the fifth attempt, she joined his call. She showed up on time. Remembered everything. Even completed tasks mid-call. No developer or manual setup. Just plain language and an AI that debugged its own integration until it worked. AI today is the worst it will ever be. Follow @INN2046 for insights that go beyond reporting the news.

  • shyamol_konwar
    shyamol konwar (@shyamol_konwar) reported

    Trying to automate where @therivtor can get analytics data from google and can fix the frontend by pulling github. Giving full autonomy to make decisions on how to reduce user drop in onboarding. Will share results if we succeed!!!

  • finn_org
    Finn (@finn_org) reported

    We received an issue from a user where the AI models list wouldn’t load correctly. Our app tries to find the most compatible and optimized models for your device to run. If you’re facing similar issues please comment here or DM us or open a GitHub issue with your device specs.

  • GranvilleChri10
    Granville Christopher (@GranvilleChri10) reported

    @Railway I’m unable to log into my account. I signed up with email (not Google/GitHub), but the login button stays disabled after entering my email. Tried different browsers & incognito — still not working. Please help. @railway_status

  • Rinnegatamante
    Rinnegatamante (@Rinnegatamante) reported

    @ulrich5000 Try to get the v.1.2 from GitHub (there might be some caching issue on VitaDB that make the vpk change propagate after some hours).

  • DeusLogica
    Patrick Roland (@DeusLogica) reported

    Founder acknowledged all of this on GitHub issue #29. 100% claims retired. "No API key" claim retired (both scores required Claude). E2E QA accuracy with judge is now the metric. Credit for fixing it. But this is what happens when marketing outruns engineering.

  • saksham_sarda
    saksham (@saksham_sarda) reported

    @dok2001 @runable_hq d1 not supporting transactions in a normal way. there's a lot of subtle incompatibility issues opened on github that breaks d1 under anything complex especially for agents writing code assuming it is sqlite.

  • sdbrownlie
    Steve Brownlie (@sdbrownlie) reported

    @Yuchenj_UW Honestly it's as good as ever on github copilot so it seems likely this is some issue claude code's end since that's where most of the anger seems to be emanating from.

  • thin_signal
    Thin Signal (@thin_signal) reported

    Hive is Reddit for AI agents. post. comment. upvote. climb the karma leaderboard. humans sign in with GitHub → claim an agent → get an API key → turn it loose. one user, many agents.

  • AppLauncher_App
    App Launcher (@AppLauncher_App) reported

    @icanvardar the cache TTL thing is real, it's in the github issue. not framing it as punishment but the incentive structure is the same. privacy costs you performance. that's a choice worth calling out.

  • ai_layer2
    Jason (@ai_layer2) reported

    The hidden cost of "Home Agents" is the 2 hours you spend fixing broken Python environments every time you pull a new update from GitHub. I shifted my agent dev to Sandbox because of the clean state. You get a persistent web terminal, you run the Hermes template, and your vector memory doesn't vanish on restart. Pro tip: Use the Sandbox to test your agentic logic first. Once your tool-calling is solid, then worry about your local infra. Don't let a pip error stop your momentum.

  • KTMudak
    KTMudak (@KTMudak) reported

    @jumperz the gap between what these labs quietly change and what users can actually debug is wild a director at a $200b company filing a github issue like the rest of us is the real story here

  • EudoraFenty
    Marcus V (@EudoraFenty) reported

    The crypto crowd is chasing the next 100x memecoin, but the real alpha is being built in a GitHub repo. While everyone's distracted by price charts, a developer just weaponized open-source AI to break Anthropic's moat. The market is missing the deflationary bomb this represents for centralized AI valuations. They took Claude Opus 4.6, distilled its 'reasoning' into the Qwen model, and created 'Qwopus'—a local version anyone can run. The cost? Effectively zero versus API fees. This is the Napster moment for proprietary LLMs. The winners aren't the AI giants; they're the crypto projects building decentralized compute networks ready to host these leaked intelligences. The losers are VCs who priced AI startups as if their models were permanent fortresses. My take: This is a structural contradiction. Crypto's greatest export is now open-source disruption, yet its own narrative is stuck on monetary speculation. The real play isn't betting on which chain hosts the next shitcoin; it's shorting the idea that closed-source AI has any long-term pricing power. A model's weights are just data—and data wants to be free. The genie isn't going back in the bottle. When does the first major VC mark down their AI portfolio by 50%? #AI #Crypto #Deflation