563
Tool Stack

Agent Research Stack

Web-search-enabled agent for autonomous research tasks.

1 min read

/ quick answer

Plan, search, scrape, and synthesize structured research output. Web-search-enabled agent for autonomous research tasks.

Web-search-enabled agent for autonomous research tasks. Plan, search, scrape, and synthesize structured research output. The stack combines Lovable AI Gateway, Tavily or SerpAPI, Playwright for scraping, Zod schemas for structured output. This tool stack node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Purpose
Plan, search, scrape, and synthesize structured research output.
Tools Included
  • Lovable AI Gateway
  • Tavily or SerpAPI
  • Playwright for scraping
  • Zod schemas for structured output
Workflow Supported
Alternatives
  • Perplexity API as one-shot replacement
/ frequently asked

What is the Agent Research Stack stack for?

Plan, search, scrape, and synthesize structured research output.

Which tools are in this stack?

Lovable AI Gateway, Tavily or SerpAPI, Playwright for scraping, Zod schemas for structured output.

Are there alternatives to this stack?

Yes — Perplexity API as one-shot replacement.

/ continue exploring

Related concepts

The vocabulary this page depends on.

  • AI Agent

    An autonomous AI system that plans and executes multi-step tasks.

  • LLM Orchestration

    Coordinating multiple model calls, tools, and data sources into one reliable system.

  • Agent Memory

    Persistent context that lets agents retain preferences, decisions, and prior work.

  • MCP (Model Context Protocol)

    Open protocol that lets LLMs connect to tools, data sources and apps through a standard interface.

all dictionary

Related workflows

Turn this into a repeatable process.

all workflows

Related tool stacks

The tools that run it in production.

  • LLM Context Management Stack

    A technology stack for effectively managing and optimizing the context provided to large language models, ensuring efficient, relevant, and cost-effective operations.

  • AutoGen Agent Research Stack

    This stack outlines the core components for building an autonomous research agent system using AutoGen, focusing on dynamic information retrieval, analysis, and report generation.

  • Research Automation Stack

    Search, fetch, extract and synthesise sourced briefs on a schedule.

  • AI Research & Knowledge Stack

    Default toolset for analysts, founders and creators doing deep research with AI.

all tool stacks

Related prompts

Reusable prompts for this job.

all prompts

Related use cases

How people apply it, and what came out.

all use cases

Comparisons & alternatives

Pick between the options.

all comparisons