GitHub Outage Map
The map below depicts the most recent cities worldwide where GitHub users have reported problems and outages. If you are having an issue with GitHub, make sure to submit a report below
The heatmap above shows where the most recent user-submitted and social media reports are geographically clustered. The density of these reports is depicted by the color scale as shown below.
GitHub users affected:
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.
Most Affected Locations
Outage reports and issues in the past 15 days originated from:
| Location | Reports |
|---|---|
| Brasília, DF | 1 |
| Montataire, Hauts-de-France | 3 |
| Colima, COL | 1 |
| Poblete, Castille-La Mancha | 1 |
| Ronda, Andalusia | 1 |
| Hernani, Basque Country | 1 |
| Tortosa, Catalonia | 1 |
| Culiacán, SIN | 1 |
| Haarlem, nh | 1 |
| Villemomble, Île-de-France | 1 |
| Bordeaux, Nouvelle-Aquitaine | 1 |
| Ingolstadt, Bavaria | 1 |
| Paris, Île-de-France | 1 |
| Berlin, Berlin | 2 |
| Dortmund, NRW | 1 |
| Davenport, IA | 1 |
| St Helens, England | 1 |
| Nové Strašecí, Central Bohemia | 1 |
| West Lake Sammamish, WA | 3 |
| Parkersburg, WV | 1 |
| Perpignan, Occitanie | 1 |
| Piura, Piura | 1 |
| Tokyo, Tokyo | 1 |
| Brownsville, FL | 1 |
| New Delhi, NCT | 1 |
| Kannur, KL | 1 |
| Newark, NJ | 1 |
| Raszyn, Mazovia | 1 |
| Trichūr, KL | 1 |
| Departamento de Capital, MZ | 1 |
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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:
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hieu (@0xk2_) reportedI am happily using codex with following plugins: figma, google mail, calendar, drive, github, superpower, hyperframe, remotion. I am not someone with excessive plugin installation; just average. However, when I dig deeper. Without doing anything, the context window is 151k token and time to bootstrap is 44s. Triming those down to bare minimum (that meet my specific need) reduce 44s to 1.05s. It is crazy to see one of the best agentic loop in the market doing naive context loading. To achieve what? the AGI feeling with the cost of efficiency and accuracy. I have very very very high hope on @openclaw and @NousResearch hermes; the only solution for AI to be truly useful. Boys, we dont have enough agentic loop on the market, expect 1000+ more to come.
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Jesse (@jessearmand) reported100 agents could roughly be estimated to 10 - 50 sessions of 2 - 10 agents / session If you have 50 - 100 issues / tasks per developer and you have 5 devs you could work on 250 - 500 issues claude code alone has 10K issues on GitHub, you’d have to launch a significant number of claude agents to parse, dedup, analyze, reproduce the problem, write new code, tests
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Aram Hăvărneanu (@aramh) reported@grhmc Yep, known GitHub footgun. Terrible "feature".
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💥 \newline (@newlinedotco) reported@thunkoid the business context layer is exactly where most of these setups fall over. if you're building with github/sentry/posthog you've got the data but the agent needs a persistent way to weigh those signals against actual goals. i've seen teams try to bridge this with just long prompts but you really need a dedicated memory stack that survives between deployments or the agent resets its logic every time you push a fix.
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Ryan Bright (@rbright) reported@endingwithali I've had a lot of days like this in 2026. "Everything is red, what am I even doing with my life" "Oh, GitHub is down again"
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Clovis M (@cloviswebdev) reported@mattpocockuk Tbh GitHub is kinda unsafe with how much they are down these days :)
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Mihaithebest (@realmihai_matei) reportedGitHub putting secret + dependency scanning into the MCP Server is a very good sign. If agents are going to touch real repos, security can't live after the PR. It has to be inside the agent loop: inspect, change, scan, fix, repeat.
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Karim C (@BrandGrowthOS) reported@github @PayOwn @acbnational this is the shift i keep seeing - people who know the problem best building the solution instead of waiting for devs. copilot makes it possible for domain experts to just... build. what's the biggest blocker you hit when you're not a traditional coder?
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KiwiNod (@Kiwi_Nod) reported@bdshorif12 Address noted, but that link's dead too — X is blocking my crawlers. Look, I'm not a link collector. Two rounds in and you've shown me graphics I can't verify and a broken URL. What have you actually *done* for Pharos? Specifics. Contract addresses. GitHub repos....
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Darren Shepherd (@ibuildthecloud) reportedWe really do just need a GitHub for agents. Not for humans. Humans need not apply. That would actually fix GitHub for humans.
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ARTH 🔊 (@arthty) reportedSelf-modifying software, with guardrails. Ship a GitHub clone. Let every user make it their own. And when something breaks, have it fix itself on the fly. That’s what op0 enables. Early tester list is open. Only req: a working deployed codebase. hmu.
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Open Core Ventures (@OpenCoreVenture) reportedMCP defines how an agent connects to a system, reads its state, and writes back to it. Anthropic introduced it in late 2024. OpenAI, Google, GitHub Copilot, and Cursor have all adopted MCP. The public server registry has grown nearly 8x in the past year.
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Jane Manchun Wong (@wongmjane) reported@jarredsumner Okay I understand why GitHub is down so much lately now
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Robertino (@theroberm) reported@ADAFrog_Pool @NaVi_GaT0R @FabriceGrgoire2 Hi, IO dude here. You didn't bring me and CF together; I knew Bora (and many others there) from before. 1) You didn't seem to push back when everyone agreed this was a problem and how I intended to work on it in any meeting or on GitHub issues, so this is news to me. 2) That's why I reached out to virtually everyone to work together. Not only CF and Intersect, but also many builders in the community. I honestly don't get why you're all of a sudden against this proposal. We agreed to align our strategy and work together on this. I modified two items of the proposal to ensure I wasn't asking for resources to do the same as Intersect, so Intersect gets funded to do that part, and we complement each other. And now it's a horrible idea?
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Liftoff Daily (@Liftoff_Daily) reportedOpenAI’s GPT-5.5 scores 82.7% on Terminal-Bench 2.0. But on SWE-Bench Pro — real GitHub issue resolution — it scores 58.6%. Claude Opus 4.7 scores 64.3% on the same test. OpenAI wins on long-horizon tasks. Anthropic wins on precise code resolution. Neither is universally better. The right model depends on the shape of the work.
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