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Launching today
Web Search Agents by Nimble
Self-learning agents automate web research + retrieval
111 followers
Self-learning agents automate web research + retrieval
111 followers
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: https://docs.nimbleway.com/agent-onboarding.md
Mastra
had a blast collaborating on this launch.
Web Search Agents are specialized web experts that execute complex web research, enrichment, and dataset building tasks for your specific use case.
Browse some example apps at nimbleway.com/cookbooks and get started.
“Wait, does it actually learn from how you use it?”
Web Search Agents by Nimble
@aria_taylor
yep! each agent keeps memories from its previous runs, so that past experience is already part of what it knows and shapes how it acts next time.
A few examples:
a. If it tried fetching data a certain way, it remembers how that went and will lean towards that approach again if it worked well.
b. If it wrote and ran a script that worked, it can reuse that instead of starting from scratch.
tell us if you give it a go!
“Researching companies usually turns into a million tabs for me. I can see the appeal here.”
Web Search Agents by Nimble
@dylan_friddle12
actually it's one of the our common usecases, we even have it in our sample agents -
Web Search Agents by Nimble
Hey! Alon here from Nimble. Super excited to tell you about our latest launch.
We built Web Search Agents to discover and retrieve everything your AI needs from the web, using less tokens.
Generic web search tools can discover basic information for your AI, but complex research tasks require expertise.
Web Search Agents are experts at researching specific domains - like company enrichment, news monitoring, financial analysis, and any other research task.
They go deeper into your domain than other web search tools by self-learning the best ways to retrieve the specific information you need. The result is more complete, accurate web context, using less tokens.
Learn how to get started with our docs
Start for free here
“News monitoring seems like a pretty natural fit for this.”
Using less tokens without losing the useful stuff is the part I’m most curious about.
“I wonder what happens when it picks the wrong source and keeps going with it.”