Vibeleaderboard

What are the best AI research agents?

Judge them on whether the citation supports the sentence it is attached to. Every research agent produces sources; the useful ones read what they cite instead of retrieving a plausible-looking URL.

Surveyed 10 August 2026

Research with an agent

Open in Tools →
No.Tool
  1. 01
    Academic Research Skills

    A comprehensive suite of Claude Code skills for academic research, covering the full pipeline from literature review to publication. Features AI-powered research agents, peer review automation, citation verification, and integrity checking to help researchers focus on insights while handling the grunt work.

    AI Agents
  2. 02
    Local Deep Research

    AI-powered research assistant that performs deep, autonomous research using multiple LLMs and search engines with proper citations. Runs locally for privacy and builds a searchable knowledge base from academic papers, web sources, and your documents.

    AI Agents
  3. 03
    Last30Days AI Research Skill

    An AI agent skill that automatically researches any topic across Reddit, X, YouTube, Hacker News, Polymarket, and other platforms from the last 30 days, then synthesizes findings into a grounded summary with real citations. Designed to keep users current with rapidly evolving topics in AI and tech.

    AI Agents
  4. 04
    Scientific Agent Skills

    A comprehensive library of 142 ready-to-use scientific skills that transforms any AI agent into an AI scientist. Provides curated tools for bioinformatics, drug discovery, clinical research, and more, with access to 100+ scientific databases.

    AI Agents
  5. 05
    PydanticAI Research Agent

    Production-ready research agent built with Pydantic AI and the PRP framework template by Cole Medin.

    AI Agents
  6. 06
    autoresearch

    Andrej Karpathy's experiment: AI agents that autonomously run research on single-GPU nanochat training, proposing hyperparameter tweaks and summarizing findings.

    AI Agents

Ordered by the VibeLeaderboard index, re-surveyed each edition. Something missing?

What to look for

  • 01Does the cited source actually contain the claim? Spot-check three and you will separate the tools quickly.
  • 02Does it search more than one way? A single query angle misses whatever is worded differently.
  • 03Does it say what it could not find? Silent gaps read as completeness.

Common questions

Can I trust the citations an AI research agent gives me?
Verify a sample. The common failure is not a fabricated URL but a real source attached to a claim it does not support — which looks correct until you open it.
What makes deep research better than a normal search?
Iteration. It searches, reads, notices what is missing, and searches again, rather than summarizing the first page of results in one pass.

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