funsloth vs Tuning Engines - Governed AI Runtime
funsloth is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑20.
funsloth is a plugin bundle for AI coding tools published by Chris von Csefalvay. No marketplace we read lists it any more. Tuning Engines - Governed AI Runtime is an MCP server published by cerebrixos-org. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-28. 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 |  Tuning Engines - Governed AI Runtime | |
|---|---|---|
| Community marketplace chrisvoncsefalvay/funsloth | Removed on 2026-10-20 Version: 1.0.0 Forks (GitHub): 0 Stars (GitHub): 5 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 0.4.34 Downloads/month (npm): 651 Downloads/week (npm): 77 Forks (GitHub): 4 (last published figure) Stars (GitHub): 6 (last published figure) 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 | funslothno longer listed · | Tuning Engines - Governed AI Runtime |
|---|---|---|
| Marketplaces that list it (differs) | 0 | 1 |
| Stars (GitHub) (differs) | 5 | 6 (last published figure) |
| Forks (GitHub) (differs) | 0 | 4 (last published figure) |
| Last release | Not published | Not published |
| Where it runs (differs) | Installs as a plugin bundle | On your machine (tuningengines-cli) |
| Transport (differs) | Not stated | stdio |
| Tools it declares | Not published | Not published |
| Environment variables it asks for (differs) | Not published | 1, secrets among them: 1 |
| Parts of the bundle (differs) | 6 | Not a bundle |
| Licence | MIT | MIT |
| Repository (differs) | github.com/chrisvoncsefalvay/funsloth | github.com/cerebrixos-org/tuning-engines-cli |
| 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 funsloth
Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.
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Fine-tune LLMs with Unsloth using GRPO or SFT: rewards, datasets, FP8, vision, MLX, export, mobile.
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Build, train, evaluate, and use open source AI models, datasets, and spaces.
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Collection of LLM engineering skills for PyTorch, Transformers, LoRA, and MLX
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Plan small custom models and fine-tunes: check the Hub, research options, write the spec in a planning repo.
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Connect to Hugging Face Hub and thousands of Gradio AI Applications
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LLM application development, prompt engineering, and AI assistant optimization
What each says it does
funsloth
Complete workflow for fine-tuning LLMs with Unsloth: dataset validation, notebook generation, training management, and model deployment
Tuning Engines - Governed AI Runtime
Govern model, agent, skill, and MCP workflows with policy, approvals, traces, and usage analytics.
How to run each
funsloth
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
Tuning Engines - Governed AI Runtime As a local MCP server: npm package
claude mcp add --env "TE_API_KEY=<YOUR_TE_API_KEY>" --transport stdio tuning-engines -- npx -y tuningengines-cli mcp serveRequires: TE_API_KEY (secret)
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 funsloth publish no settings it asks for, so we do not compare settings.
What it can do: funsloth · What it can do: Tuning Engines - Governed AI Runtime · 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.