5 Best Grok GitHub repos with 90,000+⭐ combined, they are way more useful than another 50 prompt lists. If you’re building around Grok or Grok Bot, I’d save these : 1. xai-org/grok-1 -> 52.2K⭐ The source. 314B parameters, 8 experts, 64 layers. If you want to understand what Grok started from, start here. [ ] 2. chenyme/grok2api -> 7.5K⭐ Turns Grok Build, Web and Console into one API gateway. This is where Grok starts becoming infrastructure instead of just a chat. [ ]⁠ 3. openai/grok -> 4.3K⭐ The original archived “grokking” experiments. Different Grok, but a genuinely interesting rabbit hole if you care about how models learn patterns. [ ] 4. xai-org/grok-build -> 26K⭐ The one I’d actually play with first. A coding agent harness + interactive TUI built for getting real work done. [ ]⁠ 5. trueai-org/grok -> 432⭐ Tiny compared with the others, but interesting precisely because it shows another way developers are wrapping Grok into something usable. [ ] Don’t just bookmark them. Pick one, build something stupid with it, and learn Grok from the inside. Save this list. I’m testing the most interesting one next.

i used Grok Bot and GitHub repo to build my own FARM and make money on it. gave it 5 jobs, 1 shared workspace and one stupidly simple rule : “finish everything or die” then I turned it on and left it alone. came back later and the place was alive. agents were moving between stations, picking up jobs, passing work to each other and clearing tasks without waiting for another prompt from me. that’s when Grok Bot started feeling less like software I was using and more like something I’d hired. i think that’s where agents get really interesting. not when they answer faster. when you can leave and the work keeps moving. the next thing I want to measure is money. if this setup can remove even 2 hours of boring work a day, that’s roughly 60 hours back every month. at just $20/hour, that’s already $1,200/month of work moving off my plate. now imagine giving the same workspace 10 jobs instead of 5 and letting it run while you sleep. that’s the experiment I actually care about. bookmark repo below and build with Grok Bot now

I used a 26K⭐ GitHub repo to build a night shift around Grok Bot. I gave it 10 jobs, 15 agents and one rule: keep working after I leave. Then I went offline. Research kept moving. Builds reached testing. Bugs got checked. Finished work moved to delivery. By the time I came back, the system had logged 8h 14m of autonomous work with just 2 human interventions. That’s the Grok experiment I care about. Not whether an agent can answer faster while I stare at it. Whether I can close the laptop at night and come back to finished work in the morning. I left. Grok Bot didn’t.

5 Best Grok GitHub repos with 90,000+⭐ combined, they are way more useful than another 50 prompt lists. If you’re building around Grok or Grok Bot, I’d save these : 1. xai-org/grok-1 -> 52.2K⭐ The source. 314B parameters, 8 experts, 64 layers. If you want to understand what Grok started from, start here. [ ] 2. chenyme/grok2api -> 7.5K⭐ Turns Grok Build, Web and Console into one API gateway. This is where Grok starts becoming infrastructure instead of just a chat. [ ]⁠ 3. openai/grok -> 4.3K⭐ The original archived “grokking” experiments. Different Grok, but a genuinely interesting rabbit hole if you care about how models learn patterns. [ ] 4. xai-org/grok-build -> 26K⭐ The one I’d actually play with first. A coding agent harness + interactive TUI built for getting real work done. [ ]⁠ 5. trueai-org/grok -> 432⭐ Tiny compared with the others, but interesting precisely because it shows another way developers are wrapping Grok into something usable. [ ] Don’t just bookmark them. Pick one, build something stupid with it, and learn Grok from the inside. Save this list. I’m testing the most interesting one next.

i used Grok Bot and GitHub repo to build my own FARM and make money on it. gave it 5 jobs, 1 shared workspace and one stupidly simple rule : “finish everything or die” then I turned it on and left it alone. came back later and the place was alive. agents were moving between stations, picking up jobs, passing work to each other and clearing tasks without waiting for another prompt from me. that’s when Grok Bot started feeling less like software I was using and more like something I’d hired. i think that’s where agents get really interesting. not when they answer faster. when you can leave and the work keeps moving. the next thing I want to measure is money. if this setup can remove even 2 hours of boring work a day, that’s roughly 60 hours back every month. at just $20/hour, that’s already $1,200/month of work moving off my plate. now imagine giving the same workspace 10 jobs instead of 5 and letting it run while you sleep. that’s the experiment I actually care about. bookmark repo below and build with Grok Bot now

I’ve just found 4 best GitHub repos about Grok & Grok Bot with 59K+⭐ combined. If you want to understand how Grok Bot actually works, build around it you need to read it. 1. xai-org/grok-1 -> 52K+⭐ The deepest starting point: Grok’s open model release and architecture. [ ] 2. xai-org/grok-prompts -> 4.3K+⭐ Actual prompts behind Grok + the Grok Bot on X. Probably the fastest way to understand how Grok Bot is instructed to behave. [ ] 3. milind-soni/OpenMausBot -> 1.5K+⭐ An open-source Grok Bot-style system with agents, tools, computer use and a working interface you can experiment with. [ ] 4. b-nnett/grok-bot-0.18-reconstructed -> 1.4K+⭐ An unofficial reconstruction of Grok Bot 0.18 for digging much deeper into how the system is put together. [ ] A ridiculous amount of @grok @bot knowledge sitting in public. Save and share this list then build something with it.

I’ve just found 4 best GitHub repos about Grok & Grok Bot with 59K+⭐ combined. If you want to understand how Grok Bot actually works, build around it you need to read it. 1. xai-org/grok-1 -> 52K+⭐ The deepest starting point: Grok’s open model release and architecture. [ ] 2. xai-org/grok-prompts -> 4.3K+⭐ Actual prompts behind Grok + the Grok Bot on X. Probably the fastest way to understand how Grok Bot is instructed to behave. [ ] 3. milind-soni/OpenMausBot -> 1.5K+⭐ An open-source Grok Bot-style system with agents, tools, computer use and a working interface you can experiment with. [ ] 4. b-nnett/grok-bot-0.18-reconstructed -> 1.4K+⭐ An unofficial reconstruction of Grok Bot 0.18 for digging much deeper into how the system is put together. [ ] A ridiculous amount of @grok @bot knowledge sitting in public. Save and share this list then build something with it.

I gave Grok Bot 8 AI agents and 24 hours, then watched it replace every single one of them. I set up the experiment like a tiny AI company. > first researched markets. > second watched competitors. > third searched for leads. > others handled content, data, validation, planning and daily reports. Grok Bot sat in the middle and coordinated the entire operation. Then I started removing them. Instead of maintaining 8 separate agents, prompts and workflows, I moved their jobs into Grok Bot. Research, monitoring, analysis, execution, checking results and deciding what should happen next all started flowing through one persistent system. That’s the part of Grok Bot I think people underestimate. The goal isn’t to build an army of 50 AI agents just because we finally can. The better future might be 1 Grok Bot that knows when to become all 50.

I gave Grok Bot 5 jobs and 12 hours, and it basically replaced every AI agent I was using to hunt for $500+/week business ideas. I had it scan markets, analyze business ideas, research competitors, estimate monetization paths and look for the reasons each idea could fail. Instead of getting 30 exciting ideas and pretending they were all opportunities, I wanted Grok Bot to actively kill the weak ones. For every surviving idea, I wanted the same output: demand signals, competitors, startup cost, potential bottlenecks, first customers, realistic path to $500+/week and the 3 biggest reasons it might never get there. That’s what I actually want from agents. Not another AI telling me an idea is “promising.” I want one system doing the research, criticism, validation and execution planning that I previously split across 5 different agents. Finding ideas is cheap now. Finding the ones worth building is the real job.

I gave Grok Bot 8 AI agents and 24 hours, then watched it replace every single one of them. I set up the experiment like a tiny AI company. > first researched markets. > second watched competitors. > third searched for leads. > others handled content, data, validation, planning and daily reports. Grok Bot sat in the middle and coordinated the entire operation. Then I started removing them. Instead of maintaining 8 separate agents, prompts and workflows, I moved their jobs into Grok Bot. Research, monitoring, analysis, execution, checking results and deciding what should happen next all started flowing through one persistent system. That’s the part of Grok Bot I think people underestimate. The goal isn’t to build an army of 50 AI agents just because we finally can. The better future might be 1 Grok Bot that knows when to become all 50.

I gave Grok Bot 5 jobs and 12 hours, and it basically replaced every AI agent I was using to hunt for $500+/week business ideas. I had it scan markets, analyze business ideas, research competitors, estimate monetization paths and look for the reasons each idea could fail. Instead of getting 30 exciting ideas and pretending they were all opportunities, I wanted Grok Bot to actively kill the weak ones. For every surviving idea, I wanted the same output: demand signals, competitors, startup cost, potential bottlenecks, first customers, realistic path to $500+/week and the 3 biggest reasons it might never get there. That’s what I actually want from agents. Not another AI telling me an idea is “promising.” I want one system doing the research, criticism, validation and execution planning that I previously split across 5 different agents. Finding ideas is cheap now. Finding the ones worth building is the real job.

Grok Bot save me 2 hours every day and build everything instead of spending $200/m on it. Give it 5 boring jobs: check the inbox, watch competitors, research new leads, update records and prepare a daily brief. None of those makes a viral AI demo. But 2 hours saved every day becomes roughly 60 hours a month. Suddenly the boring agent looks far more valuable than the spectacular one. That’s the part of the agent boom I think people underestimate. I don’t need AI constantly showing me how intelligent it is. I want it quietly deleting work from my day.

A CURSOR ENGINEER PUBLISHED A 2-PAGE FILE ON HOW TO RUN A BUSINESS WITH GROK BOT AGENTS it is one team of bots with one boss. who is in charge: > you talk only to a Chief of Staff bot, it is the manager > under it sit the specialists, one per department: Research, Content, Sales, Operations, Engineering, Finance > they all run on one shared cloud computer with a shared memory, so the team never forgets how you actually do it: > give the Chief of Staff one goal, not a task list > it hands the work to the right specialist > the specialists pass work to each other on their own > anything risky like send, spend, publish, or delete comes back to you for a yes that is the whole model. one goal in, a coordinated team does the work, and you only approve the big calls.

I gave Grok Bot 4 companies and 1 objective instead of writing 20 separate prompts. I didn’t want another 3,000-word research document waiting for me at the end. I wanted the companies researched, the strongest opportunities filtered, the information organized and the next actions prepared. That changes the relationship with AI. My old workflow was prompt → answer → copy → repeat 20 times. The workflow I actually want is assign once → execute → inspect → approve. The goal isn’t having longer conversations with AI. It’s needing fewer of them.

Grok Bot really made me wonder why I pay $20 a month for AI when I could eventually hire it for 24 hours. Imagine giving 1 agent 100 leads and asking it to research every company, organize the useful information, prepare personalized outreach and monitor what happens next. That’s fundamentally different from SaaS. SaaS gives me tools and leaves me with the work. Agents increasingly take the objective and return completed operations. I don’t want 15 more AI buttons. I want to describe the job once, inspect what happened and approve the 2 or 3 decisions where my judgment actually matters.

I gave Grok Bot 4 jobs and 12 hours, then stopped touching the workflow completely. I had it research live information, monitor X, compare sources and organize the strongest findings while I worked on something else. Instead of opening 20 tabs and prompting AI every 5 minutes, I gave it the objective once and came back to the results. That’s when Grok Bot clicked for me. For the last 3 years, AI meant opening a tab and asking for help. Now I’m more interested in how much work can happen while that tab stays closed. The best agent might be the one I interact with the least.

Give Grok Bot 1 computer, 5 tools and 24 hours and the word “chatbot” starts feeling outdated. A model gives me intelligence. Tools let it act. Memory lets it retain how I work. Automations let the same job run tomorrow without rebuilding everything from zero. Combine those pieces inside a persistent environment and something changes. I’m not opening AI 30 times a day just to keep the workflow moving. I can increasingly assign the objective and return when my judgment is actually required. The last generation of AI waited inside a tab. The next one gets tools, memory, a computer and a job.

Grok Bot really made me wonder why I pay $20 a month for AI when I could eventually hire it for 24 hours. Imagine giving 1 agent 100 leads and asking it to research every company, organize the useful information, prepare personalized outreach and monitor what happens next. That’s fundamentally different from SaaS. SaaS gives me tools and leaves me with the work. Agents increasingly take the objective and return completed operations. I don’t want 15 more AI buttons. I want to describe the job once, inspect what happened and approve the 2 or 3 decisions where my judgment actually matters.

I found a 48.3K⭐ GitHub repo that shows how to build anything using Grok Bot. I ran it through Grok Bot to understand the repo : 1 repo, 5 tasks, 4 detailed checks, 3 tool calls. First it mapped the repo and built the route. Then it kept the workflow alive while I switched tasks, called tools and pushed the setup through a second verification pass. 5/5 tasks passed. 4/4 detailed checks passed. Final Grok build score: 98/100. That’s the useful part. Not “Grok can answer questions.” Grok Bot + the right open-source repo starts looking like actual infrastructure. 48.3K⭐ makes a lot more sense after you watch the whole thing run.

4 GitHub repos with ⭐292K+ combined stars that give you an unfair advantage with AI coding agents. 1) CC Switch 128.8K⭐ -> one desktop hub for Grok Build. Switch providers, configs and models without rebuilding your setup. [ ] 2) system_prompts_leaks 63.3K⭐ -> extracted system prompts from Grok. Basically a library of how major AI products are instructed behind the scenes. [ ] 3) Grok-1 52.2K⭐ -> xAI’s open release of Grok-1. The repo includes the model architecture and instructions for downloading the weights. [ ] 4) CLIProxyAPI 48.3K⭐ -> turns Claude, Codex, Gemini and Grok CLI accounts into OpenAI-compatible API endpoints, with multi-account support and routing in one place. [ ] 292K+⭐ of open-source AI infrastructure in 4 repos. Bookmark this before building your next AI setup.