autoresearch vs AIRAS
autoresearch is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑18.
autoresearch is a plugin bundle for AI coding tools published by bn-l. No marketplace we read lists it any more. 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 2026-10-27. A plugin in this pair is no longer listed on any marketplace we read, so search engines are asked not to index the page.
Where each is published
| Marketplace |   AIRAS | |
|---|---|---|
| Community marketplace bn-l/claude-autoresearch-mod | Removed on 2026-10-18 Version: 0.2.0 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
| Fact | autoresearchno longer listed · | AIRAS |
|---|---|---|
| Marketplaces that list it (differs) | 0 | 2 |
| Stars (GitHub) (differs) | 3 | 37 |
| Forks (GitHub) (differs) | 0 | 2 |
| Last release | Not published | Not published |
| Where it runs (differs) | Installs as a plugin bundle | On your machine (airas) |
| Transport (differs) | Not stated | stdio |
| Tools it declares | Not published | Not published |
| Environment variables it asks for | Not published | Not published |
| Hooks it runs (differs) | Not published | 4 |
| Parts of the bundle (differs) | 3 | 13 |
| Licence | MIT | MIT |
| Repository (differs) | github.com/bn-l/claude-autoresearch-mod | github.com/airas-org/airas |
| Changes in the last 7 days | 0 | 0 |
| First seen (differs) | 2026-10-15 | 2026-10-11 |
Lines where the two differ have a tinted background and bold values. No value is marked better or worse: a plugin no marketplace lists any more is shown with its last known data, which we do not rank against current figures.
What to use instead of autoresearch
Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.
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Autonomous experiment loop for Claude Code. Run an endless optimize-measure-keep/discard cycle on any optimization target: LLM training loss, test speed, bundle size, build time…
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Autonomous experiment loops on any codebase — one file, one metric, one loop. An agent edits a constrained file, runs an eval, keeps improvements, reverts failures, and repeats…
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Autonomous experiment loop — optimize any file by a measurable metric. 5 slash commands (/ar:setup, /ar:ar-run, /ar:loop, /ar:ar-status, /ar:ar-resume), 8 built-in evaluators…
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autoresearch-discover
Scan a codebase to find where autoresearch experiments would be most valuable.
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Reviewable ML research: literature, planning, methodology review, bounded runs, sweeps, implementation verification, ablations, retrospectives, Kaggle, and setup
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Principles and rules for writing faithful scientific code. Scientific code serves truth, not users. This plugin teaches Claude the fundamental differences between scientific and…
What each says it does
autoresearch
Autonomous experiment loop for Claude Code: run, measure, keep or discard. A port of pi-autoresearch.
AIRAS
Automated AI research toolkit: hypothesis generation, experiments, and paper writing
How to run each
autoresearch
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
AIRAS As a local MCP server: PyPI package
claude mcp add --transport stdio airas -- uvx airasCommands 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: autoresearch · What it can do: AIRAS · Compare two other plugins
Data comes from public marketplace files in GitHub repositories of their authors. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.