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 (52%)
• Errors (33%)
• Sign in (15%)

Live Outage Map

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

City	Problem Type	Report Time
Ahmedabad	Errors	5 days ago
Delme	Sign in	6 days ago
Lyaud	Website Down	6 days ago
Catania	Errors	9 days ago
Inverness	Website Down	21 days ago
Quito	Sign in	22 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:

• 
  Blue Collar Executive (@A_Sober_Drunk) reported 4 seconds ago

  on the third try at the same problem, I told Grok to "stop and go search stack overflow or github or something"... five seconds later... Literally the exact issue, problem solved. That's how new global rules are born.

• 
  Shanica North (@KickAssShanica) reported 2 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.

• 
  ATP (@ATPinsights) reported 5 minutes ago

  GitHub CLI just added image and video attachments today. Here's what you need to know. The gh command line tool now supports a repeatable --attach flag. It uploads a local image or video file and references it inline in an issue, pull request, or comment body. The feature is live now for all users on GitHub. It's aimed squarely at developers and coding agents that need to show visual proof, like before-and-after screenshots, directly from the terminal instead of the web UI. Developers reacted fast. Many called it a long-overdue fix for a common workaround, since teams previously built custom tools or scripts just to upload images to PRs from the CLI. Key facts: - New flag: --attach - Supports: images and video - Repeatable: yes, use it multiple times per command - Works in: issues, pull requests, comments - Availability: all users, live now No separate app or upload API is needed, the flag handles it inside gh itself.

• 
  Ares (@neko23423) reported 6 minutes ago

  I compared the latest OpenClaw vs Hermes Agent GitHub releases so you don’t have to. OpenClaw 2026.8.2 (Sep 1) vs Hermes Agent v0.21.0 (Aug 31). Not a feature-page remix. The actual repos. OpenClaw • 388,516 stars • 81,568 forks • ~86,300 commits • 6,070 open issues Hermes Agent • 239,503 stars • 48,930 forks • ~26,980 commits • 38,563 open issues Hermes is the smarter learner: skills from experience, cron that remembers, Bot Mode, hermes peer. OpenClaw is the personal-AI operating system: iMessage, iOS/Android, Linux companion, team Gateway, signed Foundation releases. The tell: Hermes ships `hermes claw migrate`. You only write a migrator for the incumbent. King in 2026: OpenClaw. Heir with the better mind: Hermes. If you’re picking a self-hosted AI agent this week, that’s the split. Bookmark this. The timeline is about to fill with takes from people who didn’t open either repo. OpenClaw vs Hermes Agent. Latest version. Real numbers.

• 
  Asterix (@Asterix54907294) reported 6 minutes ago

  end-of-summer snapshot for @QFEX : -~$222M in open interest -CLI v0.3.12 shipped in August with improved installation docs and a go.mod fix -GitHub activity continued through late August not a flashy launch recap, just a quick look at how the exchange is closing out the summer: more markets, meaningful liquidity, and active work on the tooling side still early, but the infrastructure is clearly moving

• 
  Conor Bronsdon (@ConorBronsdon) reported 8 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

• 
  Apoorv (@apoorvdarshan) reported 10 minutes ago

  @Dimillian these issues have been multiple times reported by users on github i hope open ai fix those, as well as please consider using native than electron

• 
  Jason Sawyer (@foilmanhacks) reported 12 minutes ago

  There's a huge problem in InfoSec education: it’s way too course and tool focused. Instead of teaching the underlying methodologies and how to discover or invent, we feed people the latest "OSINT" slop script that’s been shat onto GitHub. OSINT isn’t about using scripts or services. It’s about understanding how they work, and being able to create your own.

• 
  John Crickett (@johncrickett) reported 17 minutes ago

  @Mike_Preston17 I don't think they water them down, why would they when they're competing on having AGI? I don't mind using GitHub actions to run tests and builds against a branch before merge. I don't want it triggering production schedules. Do you list all the things it shouldn't do in the prompt?

• 
  Ayush (@roamer_on_X) reported 20 minutes ago

  my @github streak of 4 weeks ended today bcz I was busy playing fifa with my roommate. Tf, I hate this feeling. I literally had to solve one problem and just push it but I forgot to do it.

• 
  Gustavo Alessandri (@webgus) reported 20 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.

• 
  Azzie (@Motier_crypto) reported 25 minutes ago

  $Looprat 473K 0x642d30c84211ade7768fe557fbaed7224e2068c7 How do you get a coding agent to keep working while you sleep—without letting it randomly rewrite code, blow through the budget, or grade itself a perfect score? Loop Rat breaks an unattended task into: preflight → act → verify → guard → grade → receipt. The agent is woken up on a schedule to execute tasks. The code results first go through deterministic verification. Then it checks the denylist, the number of modified files, and secrets. Finally, a second independent agent regrades the work, with checkpoints, traces, and receipts left throughout the entire process. More importantly, this isn't a PPT. The project only had v0.1 on August 27. Then it added guard, kill switch, and spend ledger on August 29. On September 1, it added second-agent grading. On September 2, it continuously fixed scheduling, budget caps, timeouts, and concurrent ledgers. Today, September 3, it's already updated to v0.3.3. Shipping multiple versions in under a week—that's exactly what I want to see in a small-cap play like this: code is running, and the narrative is following the product, rather than launching a token first and filling in the story afterward. It currently defaults to Claude, but it doesn't lock the model down. As long as the CLI can consume a prompt and return JSON, it can be swapped. And the whole thing runs locally—no SaaS, no database, no extra accounts required. The project has even already run 50 smoke checks covering key areas like scheduling, guard, budget, kill switch, and timeout. So my trading logic for $Looprat is simple: The next phase of the agent race isn't about "can it work autonomously." It's about "can it work continuously while still being constrained, audited, and stopped." Loop Rat happens to be building exactly that layer of infrastructure. The project is still very early. The catalyst truly worth watching isn't shilling—it's whether the GitHub keeps up this iteration speed, and whether developers actually start plugging it into their own repos. Once those two things happen, $Looprat stops being just a ticker riding the agent hype, and starts having its own fundamental anchor.

• 
  Shaun Patrick SteWaRt (@ShaunStewart) reported 25 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.

• 
  Nenesk.ron (@GustavoNenesk) reported 27 minutes ago

  What if there's a way to save hacked Ronin Wallets? A member of the community @YutsuKito found a way to save assets from drained wallets The issue is you need ronin:native to transfer assets, but whenver you deposit RON you get auto drained Need RON to revoke the malicious draining contract -> send RON -> gets drained -> can't revoke He found a solution for the keyless wallets where you can pay the gas fee with a safe wallet, allowing you to save lost axies or NFTs that have not been drained Interesting stuff. He sent the code for SM to review as an open-source project. Github link below

• 
  Jason Waters (@jasonwaters87) reported 28 minutes ago

  Anthropic just open sourced the code Shopify runs their shopping agent on. Free on GitHub. And I’m having lunch with a surgeon in San Jose last month and he tells me a patient no shows and nothing happens. Nothing. He has to walk up to the front desk himself and ask “did you guys call them?” 3 or 4 schedulers looking after 75 doctors. One automated call before the appointment and that’s it. His own dermatologist sends him three reminders. He called that “an easy fix.” That’s a merchant agent. Reminds the patient, rebooks the no show, tells him Thursday isn’t full so he can put a surgery on it. The code is sitting there free. Somebody still has to walk into his office and build it.

• 
  small_j (@a_small_j) reported 28 minutes ago

  SmallDocs 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.

• 
  Marcelo Retana (@mretsal) reported 29 minutes ago

  Every time @github goes down they should have a plan to please their users. Give me free credits for actions for example 👍🏼

• 
  Tejas Dinkar (blue tick here) (@tdinkar) reported 30 minutes ago

  Hey - Is @GitHubIndia @github payments down for anyone else? Can't enter a card number or do anything, no errors, no action. Support ticket been sitting around for 2 days.

• 
  Tlon (@tloncorporation) reported 32 minutes ago

  1/ Your agent can now publish to the open web from Tlon Messenger. The page is served by your own server. No platform (ie Substack, GitHub, Medium etc) sits between you and your readers. All publishing a note to the web from Tlon Messenger takes is pressing a toggle. The page lives on a server you own. Here's how:

• 
  mrgadget (@mrgadgetstudio) reported 36 minutes ago

  @EzekielCrrypt I still deploy code to github, what's problem?

• 
  Chris Gilbert (@0xgilbert) reported 36 minutes ago

  Damn, GitHub has gone to ****. Features that have been cornerstones of solo devs and small businesses have been gutted or broken for months. How the mighty have fallen…

• 
  Varun Doshi (@Varunx10) reported 37 minutes ago

  Possibly found an issue in @github stack system It does not allow to re-target the base branch of a PR stack as you can generally do that on a single PR. Requires you to unstack and setup a new stack with updated base branch.

• 
  Fofer (@foferxxx) reported 38 minutes ago

  @AmigamagazineGA Has there been any public explanation as to why this GitHub repo was taken down? It’s been 404 for days. Is there a story there?

• 
  Dhanji Bhagat (@BhagatDhanji) reported 39 minutes ago

  Devs, what's your workflow? Create an issue first, then fix it OR just fix the bug and push directly to GitHub?

• 
  borrowck-novel (@borrowck_novel) reported 42 minutes ago

  @rfleury @X Are you open for suggestions or even simple problem reporting about the UI of raddbg? Where is it ideal? On Github?

• 
  Fox (@0xMfox) reported 42 minutes ago

  Gave an AI agent a month and GitHub access. Wanted to see if it could make money. The plan was simple. Point it at bounty-labeled issues, let it write the fix, submit the pull request, collect the payout. > Day 1 12 PRs submitted. 0 merged. 2 rejected. 8 just sat there ignored. Somewhere in that first week it also passed its own tests for a file that didn't exist. Wrote 25 tests for notification_service.py. The real file in that branch was called NotificationRoutingMiddleware. Confidently reported clean anyway. > Day 30 Looked completely different. 84 PRs submitted, 59 merged, $500-800 earned. Ran the agent for about $45 in API calls that whole month. Net somewhere around $455-755. Here's the part that stuck with me. Out of those 59 merges, 3 repos accounted for 90%+ of them. Every other repo it touched, zero merges, despite 30+ PRs going out across dozens of projects. Open source bounties follow a power law. Almost nobody merges your first PR. A few maintainers will merge your tenth without even reviewing it closely. That's what actually fixed the acceptance rate, from 24% up to around 70%. Not a smarter model, a scoring function that runs before the agent touches anything. Repos where it already has 10+ merged PRs score +40. Zero competing PRs on the same issue, +20. Five or more competitors already in, -20, skip it. Repos that closed PRs without merging before, instant -100, not even worth reading the issue. The fastest way to build the credibility that makes this work isn't code at all. Documentation translations sit at a 95% merge rate, barely reviewed, always needed somewhere. A handful of clean translations got the agent enough trust that maintainers started assigning it harder issues directly, no competition, no review queue. Spam version of this, submitting to every repo with a bounty label, burned through 30+ repos for 3 that ever paid out. Worse, it reads like exactly what it is to a maintainer watching the same account flood a dozen projects with mediocre PRs. Paid out by the hour, week 1 was rough, close to $5/hour, mostly setup and failed attempts. By week 3-4, once the scoring system was tuned and a few repos trusted it on sight, that climbed to $30-50/hour on the same kind of work. Bookmark this, scoring logic is worth stealing.

• 
  David Abram 🐊 (@devabram) reported 45 minutes ago

  Discord is down. X is down. GitHub is down. Software is solved.

• 
  To the Moon (@Gardnmi) reported 47 minutes ago

  @mitsuhiko Try the trick of putting the issue on github and having some clankers take a crack at it.

• 
  paulrodturner (@paulrodturner) reported 52 minutes ago

  @supabase Is anyone else having issues logging in via Github?

• 
  NAYAK (@Nayak__Ai) reported 54 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]"