— · Apache-2.0
Drive the Pi coding agent from Claude Code or Codex: multi-model review panels, model racing, incremental & sharded reviews, automatic model fallback, /pi:rescue with parallel subagent fan-out. Any provider (DeepSeek/OpenAI/Anthropic/local). Adapted from codex-plugin-cc.
v3.1.0 · MIT
Reverse engineer anything with agents, from app behavior down to native binaries.
v2026.8.6 · MIT
Claude Code plugin that asks several AI coding agents the same question and shows their answers side by side. Gemini, OpenAI, Grok, Perplexity and Kimi over API; codex, antigravity, grok and kimi CLIs on subscription auth; ollama locally.
— · MIT
Claude Code plugin for Elixir/Phoenix/LiveView — 26 specialist agents, Iron Laws enforcement, and Tidewave MCP integration. Plan features with parallel research agents, execute with automatic verification, review with 4-agent parallel audits, and capture learnings as reusable knowledge.
— · Apache-2.0
Multi-agent orchestration platform for Gemini CLI, Claude Code, Codex, and Qwen Code — 39 specialists, parallel subagents, persistent sessions, and built-in code review, debugging, security, SEO, accessibility, and compliance tools
v1.1.2 · MIT
Image generation (gpt-image-2) and GPT-5 subagents for Claude Code — through the Codex CLI login you already have. No OpenAI API key.
v0.61.0 · MIT
Workflow control for AI coding agents
v14.0.0 · Apache-2.0
Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 285 commands, 244 MCP tools, change-safety gates, audit evidence, zero API keys.
v4.12.4 · MIT
Structured project lifecycle plugin for Claude Code — from idea to production with discipline, parallel agents, and quality gates.
v3.22.0 · MIT
Loop engineering for AI coding agents — turn ad-hoc sessions into a repeatable research → plan → wave-execute → close loop with verification gates. Runs on Claude Code, Codex CLI, Cursor, and Pi. MIT community plugin.
v3.1.0 · MIT
Reverse engineer anything with agents, from app behavior down to native binaries.
— · MIT
Portable skills, agents, hooks, and Pi extensions for Claude Code, Codex CLI, Copilot, Cursor, Grok, and Pi.
— · MIT
AI-powered development tools. 19 agents, 22 commands, 32 skills, 1 hook, 1 MCP server for code review, research, design, and workflow automation.
— · 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
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.
v3.0.1 · MIT
Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.
v0.12.1 · MIT
MCP server that runs CLI AI coding agents (Claude Code, Codex, opencode, Antigravity) as sub-agents from any MCP client, with background sessions and structured code review
— · Apache-2.0
Local code intelligence MCP server and CLI for AI coding agents
— · 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.
— · MIT
Development workflows for Claude Code that keep broad exploration focused on the outcome you approved.
— · Apache-2.0
AI-powered multi-agent code review. Simulates a customizable team of Engineers performing code review with built-in discourse.
v0.9.2 · Apache-2.0
A local detector for AI-writing patterns. Scores every prose file your agent saves. Python standard library only, no network, no model.