Ext Ops Panel
Open dashboard
Comparison

auto-research vs AIRAS

auto-research is a plugin bundle for AI coding tools published by gyoz-ai. Marketplaces we read that list it: 1 (Claude Code: claude-plugins-community). AIRAS is an MCP server published by airas-org. Marketplaces we read that list it: 2 (Official MCP Registry, Community GitHub marketplaces). As of our marketplace pass on 2026-10-24. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.

Where each is published

Where each is published
Marketplaceauto-researchAIRAS
Claude Code: claude-plugins-community Listed
Version: 1.0.0
Forks (GitHub): 0
Stars (GitHub): 3
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 0.4.1
Downloads/month (PyPI): 426
Downloads/week (PyPI): 48
Forks (GitHub): 2
Stars (GitHub): 37
Not marked · First seen

Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.

The facts side by side

auto-research vs AIRAS
Factauto-researchAIRAS
Marketplaces that list it (differs)1 (worse)2 (better)
Stars (GitHub) (differs)3 (worse)37 (better)
Forks (GitHub) (differs)0 (worse)2 (better)
Last releaseNot publishedNot published
Where it runs (differs)Installs as a plugin bundleOn your machine (airas)
Transport (differs)Not statedstdio
Tools it declaresNot publishedNot published
Environment variables it asks forNot publishedNot published
Hooks it runs (differs)Not published4
Parts of the bundle (differs)113
LicenceMITMIT
Repository (differs)github.com/gyoz-ai/auto-researchgithub.com/airas-org/airas
Changes in the last 7 days00
First seen2026-10-112026-10-11

Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.

What each says it does

auto-research

In its own words, on Claude Code: claude-plugins-community:

Autonomous skill improvement through parallel research agents. Inspired by Karpathy's autoresearch methodology, it spawns 5 parallel agents (domain expert, quality auditor, competitive analyst, gap analyst, tech scout), synthesizes findings into ranked proposals, then runs an iterative keep/discard experiment loop to improve any Claude Code skill. Scores skills on 7 quality dimensions and only keeps changes that genuinely improve the composite score.

AIRAS

In its own words, on Official MCP Registry:

Automated AI research toolkit: hypothesis generation, experiments, and paper writing

How to run each

auto-research As a Claude Code plugin

Claude Code
/plugin marketplace add anthropics/claude-plugins-community
/plugin install auto-research@claude-community

AIRAS As a local MCP server: PyPI package

Claude Code
claude mcp add --transport stdio airas -- uvx airas

Commands built only from what the marketplaces declare; the full set for every client is on each card.

Tools each declares

Neither one's marketplaces publish a list of tools, so there is nothing to compare.

Settings each asks for

Neither one's marketplaces publish the settings it asks for.

What it can do: auto-research · What it can do: AIRAS · Compare two other plugins

Data comes from the public marketplace file https://github.com/anthropics/claude-plugins-community/blob/HEAD/.claude-plugin/marketplace.json. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Data comes from public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.

Where the data comes from: how the catalog is built