autoresearch-agent vs Opik
autoresearch-agent is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑17.
autoresearch-agent is a plugin bundle for AI coding tools published by Md Faiz Alam. No marketplace we read lists it any more. Opik is an MCP server published by comet-ml. Marketplaces we read that list it: 3 (Official MCP Registry, Docker MCP Catalog, PyPI (MCP servers)). As of our marketplace pass on 2026-11-12. 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 |  Opik | |
|---|---|---|
| Community marketplace afaizalam2003/master-claude-skill | Removed on 2026-10-17 Version: 2.1.2 Forks (GitHub): 2 Stars (GitHub): 2 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 3.0.9 Downloads/month (PyPI): 3 591 Downloads/week (PyPI): 778 Forks (GitHub): 37 Stars (GitHub): 226 Not marked · First seen |
| Docker MCP Catalog | Not listed | Listed Version: sha256:0e0d7d33d5eb Forks (GitHub): 37 Pulls (Docker Hub): 17 554 Stars (Docker Hub): 1 Stars (GitHub): 226 Not marked · First seen |
| PyPI (MCP servers) | Not listed | Listed Version: 3.0.9 Downloads/month (PyPI): 3 591 Downloads/week (PyPI): 778 Forks (GitHub): 37 Stars (GitHub): 226 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 | autoresearch-agentno longer listed · | Opik |
|---|---|---|
| Marketplaces that list it (differs) | 0 | 3 |
| Stars (GitHub) (differs) | 2 | 226 |
| Pulls (Docker Hub) (differs) | No figure on Docker Hub | 17 554 |
| Forks (GitHub) (differs) | 2 | 37 |
| Last release (differs) | Not published | 2026-11-07 |
| Where it runs (differs) | Installs as a plugin bundle | Remote server or your machine |
| Transport (differs) | Not stated | Streamable HTTP, stdio |
| Tools it declares (differs) | Not published | 13 |
| Environment variables it asks for (differs) | Not published | 4, secrets among them: 1 |
| Parts of the bundle (differs) | 1 | Not a bundle |
| Licence (differs) | MIT | Apache-2.0 |
| Repository (differs) | github.com/afaizalam2003/master-claude-skill | github.com/comet-ml/opik-mcp |
| Changes in the last 7 days (differs) | 0 | 2 |
| First seen (differs) | 2026-10-15 | 2026-10-11 |
| Endpoint at the last check (differs) | no remote endpoint we check | Responded 17 h ago, requires authentication |
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-agent
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 — optimize any file by a measurable metric. 5 slash commands (/autoresearch-agent:setup, /ar-run, /ar-loop, /ar-status, /ar-resume), 8 built-in…
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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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Structured experiment-driven code optimization using tree search and parallel subagents
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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 LLM agent optimization using LangSmith. Spawns 5 parallel proposers in git worktrees, evaluates candidates via LangSmith experiments, and merges winners automatically…
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PROACTIVELY use this agent when experiments are started, modified, or when results need analysis. This agent specializes in tracking A/B tests, feature experiments, and iterative…
What each says it does
autoresearch-agent
Autonomous experiment loop — optimize any file by a measurable metric. 5 slash commands (/ar:setup, /ar:run, /ar:loop, /ar:status, /ar:resume), 8 built-in evaluators, configurable loop intervals (10min to monthly).
Opik
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
How to run each
autoresearch-agent
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
Opik As a remote MCP server
claude mcp add --transport http opik-mcp https://www.comet.com/opik/api/v1/mcpRequires: OPIK_API_KEY (secret)
Commands built only from what the marketplaces declare; the full set for every client is on each card.
Only Opik has a remote endpoint we check. How we check endpoints
Tools each declares
The marketplaces of autoresearch-agent publish no list of tools, so we do not compare tools.
Settings each asks for
The marketplaces of autoresearch-agent publish no settings it asks for, so we do not compare settings.
What it can do: autoresearch-agent · What it can do: Opik · 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. Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. 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.