— · Apache-2.0
Run AI coding agents unattended for hours and ship PRs worth merging. Cybernetics-based multi-agent orchestration + cross-LLM peer review for Claude Code, Codex, and Gemini. Engine-enforced gates, fresh agent per checkpoint, cross-vendor review before every PR.
v0.10.0 · MIT
DeepSeek Harness (dsh) plugin: run work as a small crew of role agents (product manager, researcher, architect, engineer, test engineer, code engineer, QA, code reviewer, security reviewer, doc reviewer) that talk through files on disk, with the PM as the
v0.16.0 · MIT
Superpowers & Beads task memory for AI coding agents - supports Claude Code, Codex, OpenCode, Cursor, Gemini CLI, GitHub Copilot CLI, Kimi Code, Antigravity, Factory Droid, and Pi.
v0.8.1 · MIT
Comprehensive multi-agent code review for Claude Code
— · no license
A set of Claude Code and GitHub Copilot plugins providing the AI Literacy framework's complete development workflow — harness engineering, agent orchestration, literate programming, CUPID code review, and the three enforcement loops
v3.0.0 · MIT
Plan iron, verify real. Claude Code plugin: ironclad planning with independent verification chain. Turns any input into bulletproof plans, executes with TDD, verifies with agents that never saw the executor's work.
v0.24.1 · MIT
Lint your AI agent context files, MCP server configs, and session data against your actual codebase
v3.0.1 · MIT
Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.
v1.25.0 · no license
Official SonarQube MCP Server for code quality and security in AI agents
v2.4.3 · MIT
Safety-first context & orchestration engine for AI coding agents. MCP server with mandatory research pipeline, knowledge graph, impact analysis, decision memory, and safety guard — works with any MCP client.
— · Apache-2.0
Local code intelligence MCP server and CLI for AI coding agents
v0.8.0 · no license
Agent skills distilled from the hard-won lessons of world-renowned programmers, in the spirit of "97 Things Every Programmer Should Know"
— · Apache-2.0
Cross-platform toolkit to enhance Claude Code with multi-LLM consensus, 8 specialist agents, semantic knowledge search, and one-command install.
v9.66.1 · MIT
Run multiple AI models against the same research, design, or coding task. Surface disagreements before you ship.
v1.5.0 · MIT
AI code reviews grounded in 12 classic engineering books — decay risk diagnostics with book citations, severity labels, and 6 analysis modes including full-sweep auto-fix
— · MIT
Development workflows for Claude Code that keep broad exploration focused on the outcome you approved.
v4.3.0 · MIT
The harness layer for Claude Code — a reference implementation of harness engineering with hook-enforced dual review, state-machine gates that survive context compaction, and fail-closed safety where it counts. Quality gates that AI can't skip.
v0.7.1 · MIT
Claude Code plugin: universal radial-tree exploration engine. One tree skill + swappable presets (brainstorm / attack / design / code-audit) for divergent ideation, adversarial critique, and design-space exploration. 12 framings × hard-ban-on-incomplete-leaves × stable convergence.
v3.14.1 · MIT
Ask Codex, Gemini, Grok, and 400+ OpenRouter models (Qwen, Kimi, DeepSeek) for second opinions or arbiter-mediated consensus. One MCP server for Claude Code, Codex, Cursor, Kiro, OpenCode. Measures which models earn their seat.
v3.8.2 · MIT
Multi-harness control plane for Claude Code, Codex, Cursor, and OpenCode: quota-aware rotation across multiple Claude/Codex subscriptions, shared thread context, and cross-model review.
v5.2.4 · MIT
Your AI can write the UI. This makes sure it writes your UI. A deterministic scanner scores your design system 0-100 against 34 public repos, writes rules for Claude, Cursor, Copilot and Windsurf with --apply, and runs as a local MCP server with --mcp.
v1.5.0 · MIT
AI code reviews grounded in 12 classic engineering books — decay risk diagnostics with book citations, severity labels, and 6 analysis modes including full-sweep auto-fix
v0.3.18 · Apache-2.0
:star: AI-assisted development workflow that produces understanding alongside code. Teach, capture decisions, document, assemble reviews.
v0.4.3 · MIT
Hire Google's Antigravity CLI (agy) as a fast Gemini staffer for Claude Code and OpenAI Codex.