Web Search Agents by Nimble - Self-learning agents automate web research + retrieval

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Web Search Agents are expert web crawling and research agents for your specific domain (company enrichment, regulations research, etc.). They self-learn your use case to go deeper into the sources that matter most to you, giving your AI deeper and more relevant web context. To get started, give your AI this link:

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CONGRATS ON THE LAUNCH!!

 THANK YOU!!1 😸

What's latency looking like per query with this approach? nice launch

 it's up to you. can range from seconds to an hour depending on your needs and budget.

Nimble's web search agent is grest product, at wide range monitoring of news and other types of feeds; you have gcontrol over types of sources it will go through and the amount of credits you use.

 thanks! For anyone curious, you can learn more about web search governance Nadav is describing here:

framing this! make sure to add your review here:

Expert-level search that can go deep and crawl the web in real time. Let's go!

exactly - are immediately useful, and the fastest way to understand them is to build or adapt one of these cookbooks:

over to you!

One of the best web agents out there, huge fans here at Floqer!!

 thank you!!! what have you used web search agents for?

the future is now

 damn right!

self learning agents for research is the right bet, most scrapers break weekly 👏 how do you handle sites that block bots?

 exactly! You can learn more about our stealth mode for navigating anti-bot defense here:

are there any plans to add customizable presets so we can quickly apply saved terminal configurations for different project types?

 
If you mean saving a configuration and reusing it for similar projects, that already works: an agent is basically a saved preset (sources, output schema, goals), so you can rerun it or clone it as a starting point for the next similar task, and there's a gallery of ready-made ones for common use cases.

if you meant something else, like presets for the CLI or SDK, tell me a bit more about the workflow you have in mind?

Love that each agent keeps memory of past runs and deprioritizes sources that burned it before, so reliability compounds over time instead of resetting on every query.

 Exactly right! Learn how the self-learning mechanism works (at a high-level) in the diagram below!