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autoresearch vs Talent Augmentation OS

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. Talent Augmentation OS is an MCP server published by taoshq.com. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-29. 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
MarketplaceautoresearchTalent Augmentation OS
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: 0.3.0
Forks (GitHub): 0
Stars (GitHub): 0
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 Talent Augmentation OS
Factautoresearchno longer listed · Talent Augmentation OS
Marketplaces that list it (differs)01
Stars (GitHub) (differs)120
Forks (GitHub)00
Last releaseNot publishedNot published
Where it runs (differs)Installs as a plugin bundleRemote server (taoshq.com/mcp)
Transport (differs)Not statedStreamable HTTP
Tools it declaresNot publishedNot published
Environment variables it asks forNot publishedNot published
Parts of the bundle (differs)3Not a bundle
Licence (differs)MITNot stated
Repository (differs)github.com/james-s-tayler/lazy-developergithub.com/angelo-leone/taos-connector
Changes in the last 7 days (differs)20
First seen (differs)2026-10-222026-10-14
Endpoint at the last check (differs)no remote endpoint we checkResponded 2 days ago, requires a key

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

Talent Augmentation OS

In its own words, on Official MCP Registry:

Grow your skills with AI: per-skill coaching inside Claude, ChatGPT, Cursor and Codex

How to run each

autoresearch

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

Talent Augmentation OS As a remote MCP server

Claude Code
claude mcp add --transport http taos https://taoshq.com/mcp

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

Only Talent Augmentation OS has a remote endpoint we check. How we check endpoints

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: Talent Augmentation OS · 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.

Where the data comes from: how the catalog is built