evolve-loop vs io.github.ai-4-devops/devops-practices
evolve-loop is a plugin bundle for AI coding tools published by mickeyyaya. Marketplaces we read that list it: 1 (Claude Code: claude-plugins-community). io.github.ai-4-devops/devops-practices is an MCP server published by ai-4-devops. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-13. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.
Where each is published
| Marketplace | ||
|---|---|---|
| Claude Code: claude-plugins-community | Listed Version: 8.11.1 Forks (GitHub): 2 Stars (GitHub): 5 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 1.4.0 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
| Fact | evolve-loop | io.github.ai-4-devops/devops-practices |
|---|---|---|
| Marketplaces that list it | 1 | 1 |
| Stars (GitHub) (differs) | 5 (better) | 0 (worse) |
| Forks (GitHub) (differs) | 2 (better) | 0 (worse) |
| Last release | Not published | Not published |
| Where it runs (differs) | Installs as a plugin bundle | On your machine (devops-practices-mcp) |
| Transport (differs) | Not stated | stdio |
| Tools it declares | Not published | Not published |
| Environment variables it asks for | Not published | Not published |
| Parts of the bundle (differs) | 9 | Not a bundle |
| Licence (differs) | MIT | Not stated |
| Repository (differs) | github.com/mickeyyaya/evolve-loop | github.com/ai-4-devops/devops-practices |
| Changes in the last 7 days | 0 | 0 |
| First seen | 2026-10-11 | 2026-10-11 |
Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.
What each says it does
evolve-loop
A self-learning development pipeline that gets smarter with every cycle. It calibrates itself against your codebase, dynamically selects the highest-impact tasks, implements them in isolated git worktrees, and blocks bad code through eval gates — then learns from each cycle to make better decisions next time. 4 specialized agents (Scout, Builder, Auditor, Operator) work across 5 phases: DISCOVER → BUILD → AUDIT → SHIP → LEARN. The Scout uses multi-armed bandit scoring and 8-dimension quality benchmarks to target your codebase's weakest areas. The Builder implements in isolation. The Auditor blocks MEDIUM+ severity issues. After each cycle, the pipeline extracts reusable "instincts" — patterns about what worked and what failed — that compound over time. Every 5 cycles, a meta-cycle evaluates the pipeline itself and evolves its own agent prompts based on measured performance. It ran 151 cycles on its own codebase, shipping 67+ improvements and raising its quality score from 83.8 to 94.4 — all autonomously. No e
io.github.ai-4-devops/devops-practices
Productivity framework for DevOps engineers using AI assistance (Claude Code) while working on PoCs
How to run each
evolve-loop As a Claude Code plugin
/plugin marketplace add anthropics/claude-plugins-community
/plugin install evolve-loop@claude-community
io.github.ai-4-devops/devops-practices As a local MCP server: PyPI package
claude mcp add --transport stdio devops-practices -- uvx devops-practices-mcp -m devops_practices_mcp
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
Neither one's marketplaces publish the settings it asks for.
What it can do: evolve-loop · What it can do: io.github.ai-4-devops/devops-practices · Compare two other plugins
Data comes from the public marketplace file https://github.com/anthropics/claude-plugins-community/blob/HEAD/.claude-plugin/marketplace.json. 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.