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LangChain launches Managed Deep Agents v0.8, adding features like user-owned credentials, user-level memory, HTTP channels, and a web search tool to improve agent deployment in production.
IBM's open-source agent CUGA integrates Tavily for web search, enabling reliable access to live information in air-gapped and sovereign environments, and streamlining enterprise applications.
Tavily integrates with Jev to provide real-time web intelligence for research agents, enabling efficient decision-making and reducing LLM inference overhead.
Parallel leverages GPT-6 Astra to reduce research time and cost by half while delivering the same quality, showcasing the model's efficiency in focused searches and multi-agent coordination.
The paper proposes a method called DLD-RL to enhance deep research and long-context abilities in AI agents by repurposing reinforcement learning trajectories into long-context QA data, showing significant performance improvements on benchmarks.
The article critiques open AI recreations, comparing them to chaining web search tool calls and falsely calling it open deep research.
Tavily integrates with Replit to enable real-time web search in development workflows and promotes a Builders & Brews event in San Francisco.
Rox, an AI revenue agent company, improved its agents' performance by switching to Tavily's web search API, reducing sales research time from weeks to seconds while enhancing data freshness and lowering costs.
Introducing Inspo, a design MCP server that searches over 800 websites to provide design inspiration for coding agents like Claude Code, Codex, and OpenCode.
This paper introduces HybridDeepResearch, a benchmark for evaluating AI agents on tasks that require integrating web search and SQL querying, revealing that even state-of-the-art models struggle with maintaining constraints across structured and unstructured data.
Q2D-Web is a large-scale benchmark and leaderboard for evaluating retrieval models on web search, featuring 190 million documents and queries in ten languages with methods to minimize bias and reduce evaluation costs.
This article compares web search APIs for AI agents, evaluating options like Serper, Brave, Exa, Firecrawl, and Tavily based on their suitability for tasks such as SEO tracking, semantic discovery, and full-content extraction.
An audit of Perplexity's AI search models found that over a third of citations for specific figures do not contain those numbers on the linked pages, with failures including inaccessible or irrelevant sources.
Keenable SELECT is an MCP server that enables AI agents to execute SQL queries on live web data, using semantic operators for efficient search and extraction, and generating HTML reports.
A new Hermes Agent plugin for BackSearch provides point-in-time web search and fetch capabilities, allowing AI agents to access archived web content as of specific dates for tasks like forecasting backtests and reproducible benchmarks.
Tavily Search and Extract have been integrated into NanoClaw, enabling personal AI agents to perform real-time web searches and content extraction with keyless access.
The npm package @purili/openclaw provides free and unlimited web search capabilities using the puri.li index, without requiring an API key.
A developer discusses strategies to prevent AI agents from wasting API credits on unnecessary research by setting thresholds for when to stop digging and make decisions or escalate for human review.
Exa search is integrated into Vercel's AI Gateway and Agent Marketplace, enabling developers to add fast, managed web search to their agents with no setup required.
Accel-backed startup Keenable has launched a web search index tailored for AI agents, raising $26 million in seed funding to build infrastructure that helps AI systems access and process web information effectively.