deep-search-agent is a Python library built on LangChain that provides an orchestrator plus specialized subagents for performing deep web searches. It uses iterative rubric-graded refinement to improve research quality. The package is designed for developers who want to integrate advanced LLM-powered research agents into their applications.
deep-search-agent sits in PulseGate's AI & ML category. It focuses on building sophisticated deep web research agents that perform iterative, rubric-graded searches without writing everything from scratch. deep-search-agent is an open-source project aimed at developers. The project is open source (MIT). It ships for the command line and API.
giurlanda builds and maintains deep-search-agent, and it first shipped in 2026. Development happens publicly on GitHub with 16 commits in the last 90 days. Among its 5 catalogued features are multi-agent orchestration, iterative refinement, and rubric grading. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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