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autoresearch vs io.github.James-Chahwan/repo-graph

autoresearch is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑27.

autoresearch is a plugin bundle for AI coding tools published by James S Tayler. No marketplace we read lists it any more. io.github.James-Chahwan/repo-graph is an MCP server published by James-Chahwan. Marketplaces we read that list it: 3 (Official MCP Registry, PyPI (MCP servers), 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

Where each is published
Marketplaceautoresearchio.github.James-Chahwan/repo-graph
Community marketplace james-s-tayler/lazy-developer Removed on 2026-10-27
Version: 1.1.0
Forks (GitHub): 0
Stars (GitHub): 12
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 0.5.2
Downloads/month (PyPI): 1 097
Downloads/week (PyPI): 234
Forks (GitHub): 1
Stars (GitHub): 87
Not marked · First seen
PyPI (MCP servers) Not listed Listed
Version: 0.5.2
Downloads/month (PyPI): 1 097
Downloads/week (PyPI): 234
Forks (GitHub): 1
Stars (GitHub): 87
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

autoresearch vs io.github.James-Chahwan/repo-graph
Factautoresearchno longer listed · io.github.James-Chahwan/repo-graph
Marketplaces that list it (differs)03
Stars (GitHub) (differs)1287
Forks (GitHub) (differs)01
Last releaseNot publishedNot published
Where it runs (differs)Installs as a plugin bundleOn your machine (mcp-repo-graph)
Transport (differs)Not statedstdio
Tools it declaresNot publishedNot published
Environment variables it asks for (differs)Not published1, secrets among them: 0
Parts of the bundle (differs)31
LicenceMITMIT
Repository (differs)github.com/james-s-tayler/lazy-developergithub.com/james-chahwan/repo-graph
Changes in the last 7 days (differs)40
First seen (differs)2026-10-222026-10-11

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.

  • autoresearch

    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…

    by pjhoberman · Plugin bundle

    Listed on: Claude Code: claude-plugins-community, Community GitHub marketplaces · Describes nearly the same job

  • autoresearch-ai-plugin

    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…

    by proyecto26 · Plugin bundle

    Listed on: Claude Code: claude-plugins-community · Describes nearly the same job

  • multi-agent-ops

    Self-correcting loop engineering and automated codebase research.

    by jggomez · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

  • agent-loops

    Drop-in agentic loop skills (autoresearch, literature & writing, data, optimization, red-team, power analysis). Skills install namespaced as agent-loops:<name>.

    by gaasher · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

  • autoresearch-agent

    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…

    by Alireza Rezvani · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

  • evo

    Structured experiment-driven code optimization using tree search and parallel subagents

    by evo-hq · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

Its card, with similar plugins by marketplace

What each says it does

autoresearch

In its own words, on Community GitHub marketplaces:

Set up autonomous goal-driven optimization — creates a GOAL.md fitness function and runs an improvement loop

io.github.James-Chahwan/repo-graph

In its own words, on Official MCP Registry:

Structural graph map of any codebase so LLMs navigate by structure, not guesswork.

How to run each

autoresearch

No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.

io.github.James-Chahwan/repo-graph As a local MCP server: PyPI package

Claude Code
claude mcp add --transport stdio repo-graph -- uvx mcp-repo-graph

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

The marketplaces of autoresearch publish no settings it asks for, so we do not compare settings.

What it can do: autoresearch · What it can do: io.github.James-Chahwan/repo-graph · 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. Package data comes from the Python Package Index (pypi.org). 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