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.
As a mini-blog, it is a nice alternative for Medium to publish and share information about programming.
However, the community and the organization are biased toward social justice (and they are open to it). You can read its Code of Conduct, it is so vague and politically leads (I prefer a term of service because it defines fair rules for everybody). So it alienates developers that we don't care about politics in pro of people that want to talk about any other topic such as sexuality, how women are unprivileged, and such. It even mandates to use inclusive language. Good grief.
My main complaint is the quality of the community. It is not StackOverflow (so we don't want to ask for an answer here), and most of the top topics are clickbait, such as "how to become a rockstar developer in ... days", "100 tips to become a better programmer" (and it doesn't even talk about programming).
Technically this "mini blog" site allows us to use markdown, and it is okay. However, the whole experience is really basic. Even the template is ugly.
Based on our record, DEV.to seems to be more popular. It has been mentiond 515 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.
These services are just the start. Cloud Run is great for quick deployments, Firestore for real-time apps, and Dataflow for heavy data processing. Try one that fits your project—most have free tiers or low costs for small apps. Start with the examples above, tweak them for your use case, and check the linked docs for deeper dives. If you’re stuck, the GCP community on Dev.to or Stack Overflow is super helpful.... - Source: dev.to / about 22 hours ago
Wrote short tutorials on Dev.to like "How I Used ChatGPT to Optimize My React Code". - Source: dev.to / 3 days ago
So I came across the Frontend Challenge: June Celebrations (CSS Art) on dev.to, and I thought: "Hey, what if I build a handy dandy crate for our gay friends that they can slap onto their rusty websites?" This way, I learn a bit more about CSS, make something useful, and give Ferris the crab 🦀 a chance to finally come out of the shell. - Source: dev.to / 6 days ago
Now, consider a website like https://dev.to/. Unlike a static website, Dev.to is dynamic, meaning its content is constantly changing—new articles, comments, and other data are frequently added. - Source: dev.to / about 1 month ago
Since 2022, source-available models have been gaining popularity, especially at first with BLOOM and LLaMA, though both have restrictions on the field of use. Mistral AI's models Mistral 7B and Mixtral 8x7b have the more permissive Apache License. In January 2025, DeepSeek released DeepSeek R1, a 671-billion-parameter open-weight model that performs comparably to OpenAI o1 but at a much lower cost. Since 2023,... - Source: dev.to / 18 days ago
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