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Bytebot is a self-hosted AI desktop agent that automates computer tasks through natural language commands

Joined January 2024
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👨‍🔧 Github: Bytebot is a self-hosted AI desktop agent that automates computer tasks through natural language commands, operating within a containerized Linux desktop environment. 2.2K Stars ⭐️ github. com/bytebot-ai/bytebot
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Most people think AI agents can only run in the browser. But this AI agent controls a full desktop—clicks, types, reads screens—and automates everything you do on your computer. It's called Bytebot. Follow this to see how it works:🧵
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Don't underestimate the value of Desktop Agents. For years, we accepted that most cross-app processes can't be automated without APIs, and even our best automations break when a button moves 10 pixels. I gave an AI control of a computer. It navigated legacy portals, handled 2FA and captchas, and kept working through UI updates. The most expensive automation is the one you never attempt because "there's no API". We can think of an AI desktop agent as a "𝗿𝗲𝗺𝗼𝘁𝗲 𝘄𝗼𝗿𝗸𝗲𝗿". Every application becomes automatable if we use the right primitives. Instead of building integrations, we give AI the same tools a remote employee has: keyboard, mouse, and screen. No DOM parsing. No brittle selectors. Just vision and interaction. I wanted to find something that works well for tasks like these: - Organizing scattered information about venue rentals across multiple sites into a spreadsheet for my son's upcoming birthday - Navigating a complex IRS tax form and getting customized instructions - Creating technical diagrams in Excalidraw - Testing features written by coding agents - closing the gap between generation and execution I found @bytebot_ai to be a super useful AI desktop agent tool (open source, Apache 2.0), which is also a YCombinator backed startup. It runs containerized on your infrastructure, uses your LLM keys (OpenAI, Anthropic, Gemini, or LiteLLM), is self-hosted so keeps your data private. You can run it autonomously, or take over mid-task and hand control back. As reasoning models improve, the gap between "needs human intervention" and "fully automated" is collapsing faster than most organizations realize. Just let the model do the work.
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Whoa, @bytebot_ai is trending on Github: github.com/trending?since=da…
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Fuck it, @bytebot_ai MCP
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Bytebot handles 2FA just like a coworker would. I gave my Bytebot a @Bitwarden account and installed the browser extension in @firefox . I can share passwords, identities, and credit cards, all available via autocomplete for the agent to use. I shared a @github account that has 2FA enabled, and let it take care of the rest. No integration or code, just using off the shelf applications. With desktop agents, the possibilities are endless.
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If you wanna host this on @Railway with 1 click, head over here: railway.com/deploy/bytebot?r…
Heading to @aiDotEngineer next week, so I asked my @bytebot_ai to email me the session list. Here it is using multiple applications: opening a browser, visiting the website, downloading a JSON file, and emailing it to me as an attachment. No custom integrations, just Claude Opus using the same tools you and I do: a screen, a mouse, and a keyboard. Desktop agents will work alongside us, so they'll need to use interfaces we're all familiar with. Check out the video (sped up to 4x):
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I love the UX of @bytebot_ai's task detail page - as you scroll through the messages, the screenshots automatically update.
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Invited my open source desktop agent to @1Password, so that I can share 2FA passwords with it. @bytebot_ai checked it's email, opened a browser and created it's own account, then downloaded and read through a PDF before logging into the 1Password desktop client. It's using the same applications you and I would use with just screenshots + keyboard/mouse tools. This is the future of computer use - agents that work along side us with tools we're already familiar with. Took almost 15 minutes - watch this 4x video with music instead:
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Just got my @bytebot_ai to setup it's email client. Bytebot is a turnkey desktop agent - an AI that controls a virtual machine. It comes with a browser, email client, password manager and more installed. And it's open source, so you can set it up locally or host it in the cloud. I created an email account for it and shared the login info, telling it to add the account to Mozilla Thunderbird. With @AnthropicAI 's Claude Opus 4 model, using just screenshots + keyboard/mouse tools, it was able to navigate through the entire setup on it's own. This simple example underscores the growing power of desktop agents - anything you can do with a computer, they'll soon be able to do. Check out the video below (sped up to 4x). Next I'll get it to email me something.
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BytebotAIの紹介スレッド 1/ 今日はBytebot AI(@bytebot_ai)というツールのご紹介です! 🖥️ これは「computer use container」と呼ばれる興味深いプロジェクトです。 公式ドキュメント・Discordコミュニティ・Twitterなどがあります。
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LLMs can now browse the internet pretty well.  This has blown open a whole new set of startup ideas.
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YC S21's @bytebot_ai handles web data extraction and form filling with AI, saving developers time by creating reusable and robust web scraping and automation logic. It translates natural language prompts into web tasks, speeding up development cycles and increasing ROI, and is versatile for all developers, integrating seamlessly with existing Puppeteer/Playwright setups, as well as providing a hosted browser API. ycombinator.com/launches/LGM…
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you need to check this launch out 👇🅱️
The easiest way to get web data is here! ✨ Our new hosted browser API powered by our friends at @browserbase lets you build flexible automations quickly. Get started for free at Bytebot.ai
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our customers build the coolest stuff. congrats on the launch @bytebot_ai!
The easiest way to get web data is here! ✨ Our new hosted browser API powered by our friends at @browserbase lets you build flexible automations quickly. Get started for free at Bytebot.ai
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AI Agents: The Ultimate Market Map AI is advancing rapidly with ChatGPT launching just 19 months ago. The next big trend will be AI Agents. 120+ startups building 👇 Read in full 👉 neweconomies.substack.com
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Getting better at positioning the value for @bytebot_ai on customer calls. 3 things it’s great for: 1. Speed of development - customers were building dozens or even hundreds of web scrapers by hardcoding query selectors or xpaths, which is a time consuming process. Bytebot achieves the same outcomes with simple prompts, so the script that took an hour to develop now takes a couple minutes. 2. Maintenance - Bytebot leverages LLMs to figure out what elements on a webpage to target, making scripts robust to page layout changes. And instead of writing a bespoke script for each slightly different website, devs can consolidate logic into the same Bytebot script. 3. Granularity - a lot of the best data is hidden behind logins or requires some browser interaction; it’s not enough to just crawl a page. Bytebot enables developers to target exactly how to retrieve data. All of the above translates into getting more data, from more unique sources, faster and cheaper.
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