agent-search

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#agent-search

@Pluvio9yte: After integrating AnySearch, my agent's search efficiency improved. Tools like Parallel, Perplexity, and Tavily have a persistent issue when used by agents — they return links and summaries, so the agent still has to open pages, filter content, and assess relevance. For verticals like finance, academia, and code, search quality is even worse. Output lacks structure, and parsing content alone burns a lot of tokens.

X AI KOLs Timeline · 2026-07-15 Cached

AnySearch is a search infrastructure designed for AI agents. It supports real-time web search and vertical domain search, outputting structured Markdown that agents can directly use, improving search efficiency.

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#agent-search

@omarsar0: // Is Grep All You Need? // Pay attention to this on, AI devs. (bookmark it) They find that grep-style text search, whe…

X AI KOLs Timeline · 2026-05-15 Cached

A research paper from PwC finds that grep-style text search, when properly integrated into agent harnesses, can match or beat embedding-based retrieval for coding-agent tasks, suggesting vector databases may not be essential for many use cases.

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#agent-search

Does the product need to become more recognizable to AI programs?

Reddit r/AI_Agents · 2026-05-14

The article discusses the emerging challenge of making products easily understandable to AI agents, distinguishing it from traditional SEO and highlighting the need for structured data and clear functional boundaries.

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