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notte.cc
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Notte provides a full-stack framework for building, deploying, and scaling web AI agents via a single API. It transforms the internet into an agent-friendly environment by mapping websites into structured, natural language descriptions, enabling agents to navigate and interact effectively.
Notte leads in open-source benchmarks for web agent performance. It achieved the highest self-reported success rate (86.2%) and LLM-verified completion (79%). Notte also demonstrated the fastest execution time (47 seconds per task) and an impressive 96.6% task reliability (percentage of tasks successfully completed at least once across multiple attempts).
Read more about the benchmarks here: https://github.com/nottelabs/open-operator-evals
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notte.cc's answer:
Notte is built with Python and accessible via Python SDK or REST API. It performs deep DOM parsing and uses a semantic abstraction layer informed by graph-based reasoning — though the graph itself isn’t fully materialised in code. The SDK exposes a clean interface for LLM integration.
notte.cc's answer:
Notte turns the web into structured, semantic maps tailored for LLMs — enabling perception, navigation, and action. Unlike traditional browser automation, Notte abstracts away fragile HTML into high-level actions and natural language descriptions, reducing hallucinations, tokens, and latency.
notte.cc's answer:
Notte is purpose-built for LLM agents. It doesn’t just click DOM elements — it understands the intent behind them. That means faster, more reliable agents, no brittle scripts, and seamless integration via API or SDK. It replaces scraping + Playwright stacks with one clean abstraction layer.
notte.cc's answer:
Developers building LLM agents, automation workflows, or AI-native applications. Early adopters in infra, QA, RPA, and AI tooling who want to go beyond brittle web scraping and fragile automation toward agentic, semantic control of the internet.
notte.cc's answer:
Notte was founded by Andrea and Lucas, two ML researchers who met at EPFL in 2019 and have been building together ever since. After working across top research labs, they saw a clear gap: existing browser automation tools weren’t built for LLMs. Notte is their response — a framework that makes the web usable for agents through structured, semantic understanding. It’s designed to bridge research and real-world execution.
Based on our record, Drupal seems to be more popular. It has been mentiond 28 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I would be interested in some good migration tools, paid ones are also ok. I found a post about this on drupal.org, but it didn't seem like an easy process. It is a multilanguage site with many content types, and a totally custom theme. Source: over 2 years ago
You got already good advice, but wanted to point the guide of drupal.org where you can see some tools listed with instructions and channels https://www.drupal.org/community/contributor-guide/reference-information/talk/tools. Source: over 2 years ago
There is a service call GitPod that provides a temporary container Drupal environment. If you are familiar with what is going on around the future of how Drupal modules will eventually be offered up, you will likely have seen the "Project Browser" module as a contrib demo of the approach. It is used for people to give feedback to the developers. So they set up the typical 'SimplyTestMe' but also a GitPod... Source: almost 3 years ago
For reviews, it depends entirely on what you mean by "review". I believe core has a simple comment module, although it may have been deprecated for D9? There are likely many review-style modules on drupal.org that might work, or if you just want to link out to third-party reviews then it could just be a repeating-value link field on the Product content type. Source: almost 3 years ago
They should also use standards tools like Github. The drupal.org platform was certainly impressive 10 years ago, today it's a pain to use it. They ducktape it with gitlab, but really it sucks to have to read documentation to simply do a pull request. Source: almost 3 years ago
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