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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference
ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference
OneDev – Self-hosted Git server with CI/CD, Kanban, and packages
OneDev – Self-hosted Git server with CI/CD, Kanban, and packages
About Containers and VMs
About Containers and VMs
Show HN: Open-source alternative to ChatGPT Agents for browsing
Show HN: Open-source alternative to ChatGPT Agents for browsing Hey HN,<p>We are Winston, Edward, and James, and we built Meka Agent, an open-source framework that lets vision-based LLMs execute tasks directly on a computer, just like a person would.<p>Backstory:<p>In the last few months, we've been building computer-use agents that have been used by various teams for QA testing, but realized that the underlying browsing frameworks aren't quite good enough yet.<p>As such, we've been working on a browsing agent.<p>We achieved 72.7% on WebArena compared to the previous state of the art set by OpenAI's new ChatGPT agent at 65.4%. You can read more about it here: <a href="https://github.com/trymeka/webarena_evals">https://github.com/trymeka/webarena_evals</a>.<p>Today, we are open sourcing Meka, our state of the art agent, to allow anyone to build their own powerful, vision-based agents from scratch. We provide the groundwork for the hard parts, so you don't have to:<p>* True vision-based control: Meka doesn't just read HTML. It looks at the screen, identifies interactive elements, and decides where to click, type, and scroll.<p>* Full computer access: It's not sandboxed in a browser. Meka operates with OS-level controls, allowing it to handle system dialogues, file uploads, and other interactions that browser-only automation tools can't.<p>* Extensible by design: We've made it easy to plug in your own LLMs and computer providers.<p>* State-of-the-art performance: 72.7% on WebArena<p>Our goal is to enable developers to create repeatable, robust tasks on any computer just by prompting an agent, without worrying about the implementation details.<p>We’d love to get your feedback on how this tool could fit into your automation workflows. Try it out and let us know what you think.<p>You can find the repo on GitHub and get started quickly with our hosted platform, <a href="https://app.withmeka.com/" rel="nofollow">https://app.withmeka.com/</a>.<p>Thanks, Winston, Edward, and James
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