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@nuitdotfun
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The future of agentic internet · Built by @nottecore · Accessible via $nuit · ca: 2eXamy7t3kvKhfV6aJ6Uwe3eh8cuREFcTKs1mFKZpump
Joined February 2025
The Notte Creator Program is live 🚀. Build with the Notte SDK → earn $100 in $nuit.Dev or not, this is your invite to show what agents can do. Here’s how to qualify:
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Creds — secure .Auth — smooth .Natural language — of course .Notte agent search results — 👀
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Smarter control. Sharper output. Smoother runs.
Notte v1.5.6 deploys 🎯. Batch agents, CDP control, visual highlights, smarter forms, and more. ✦ Batch agent execution.✦ CDP session control.✦ Expanded form coverage.✦ Visual DOM highlights.✦ Model config upgrades.✦ Simulated keypress . Sharper, faster, more reliable.
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building.
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Everyone uses LLMs for answers — now use them to execute workflows. Build agents that understand meaning. ▸ GitHub: ▸ Just shipped:
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Now you prompt agents the way you prompt an LLM:. “Find the cheapest wireless headphones under $100 and add to cart”. Notte handles the markup, state, and interaction — the LLM just acts.
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This unlocks:. • Smaller, cheaper LLM models matching bigger ones.• Robustness to UI changes.• Cleaner, simpler prompts.• Natural-language traces.• No brittle selectors. It’s a web interface designed for LLMs.
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Notte adds a perception layer between websites and LLMs. It translates raw HTML into structured, natural language — preserving semantics, removing noise, and making the web legible to LLMs.
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There is a fundamental mismatch between how LLMs process information (natural language) and how websites are structured (markup). It's like navigating a city using architectural blueprints instead of a simple street map.
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Solving web automation means solving perception. LLMs aren’t built for markup — they’re built for language. Fix the input upstream? .Downstream, LLMs get structured, semantic maps of the web. 👇
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Real-time web interaction > static indexing.
Real-time web interaction via natural language. Notte navigates live sites to retrieve answers for config questions, deep in documentation.
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Web automation that starts with a prompt.
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No need to re-login to automate. → Export browser cookies.→ Import to Notte.→ Agent inherits your session. Manual browsing to agentic execution.
Export browser sessions. Import to agents. Login sessions, automated. Export cookies from your browser → Import to Notte sessions → Agents inherit your auth state. Seamlessly transition from manual browsing to automated workflows.
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Natural language instructions that work on any site structure. Agentic automation imminent.
Scrape Behind Auth. Describe intent → extract data. Notte scraping = natural language instructions. "Get three high-priority tasks due before July 1st from our Engineering Sprint board.". The agent handles login, filters by priority and date, returns structured data.
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More signal, less noise. Notte v1.5.5 tightens every layer of execution: streaming, solving, filling, validating.
Notte v1.5.5 lands ⚙️ . Live logs, captcha actions, form-fill, schema outputs, and deeper config control. ✦ Live log + session stream.✦ Captcha solving as an action.✦ Autofill forms.✦ Schema outputs.✦ Proxy + profiling upgrades.✦ Smarter model/config. Sharper execution.
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Grateful for our day-one community and everyone who's joined us along the way — nottelabs is scaling ⚡️.
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"star ) .→ the repo that makes $nuit matter.
github.com
🔥 Reliable browser using agents. Contribute to nottelabs/notte development by creating an account on GitHub.
What do you need to automate?.
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RT @nottecore: Notte Secrets Vault. Enterprise-grade security for your LLM-powered workflows.
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RT @nuitdotfun: Search engines were retrofitted onto the early internet to make it usable for humans. Now, LLMs need a native interface — a….
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