v0.24.1 · MIT
Lint your AI agent context files, MCP server configs, and session data against your actual codebase
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.
v0.49.0 · MIT OR Apache-2.0
Linter for AI agent configurations. Validates SKILL.md, CLAUDE.md, hooks, MCP, and more.
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.
v1.1.13 · MIT
The linter for your agent harness. Works with Claude Code, Codex, and Cursor.
v3.1.0 · MIT
Reverse engineer anything with agents, from app behavior down to native binaries.
v3.1.0 · MIT
Reverse engineer anything with agents, from app behavior down to native binaries.
— · Apache-2.0
Ghidra MCP Server — 200+ MCP tools for AI-powered reverse engineering. GUI plugin + headless server, lazy tool loading, convention enforcement, batch operations, Ghidra Server integration, and Docker deployment.
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
v1.33.0 · MIT
Claude Code plugin for structured, AI-driven software development. Orchestrates complex workflows -- from issue assessment to staged implementation to review and merge -- giving developers the speed of full automation with the control of human-in-the-loop checkpoints.
— · Apache-2.0
The fastest workflow for every AI coding agent. Live status, quick prompts, worktrees, and diff review from one tmux TUI.
v0.2.2 · MIT
Multi-model AI code review server using OpenRouter - get diverse perspectives from multiple LLMs in parallel
— · MIT
Repeatable agentic engineering. The workflow layer that turns AI coding agents into a disciplined factory: durable specs, fresh-context workers, adversarial cross-model reviews, receipts. Everything in your repo, zero dependencies. Claude Code · Codex · Cursor · Droid.
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.
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.
v1.0.6 · MIT
A virtual pet companion for your AI — Designed to provide in-context code review feedback with personality. Grow with your buddy and level up together. Works with Claude Code, Codex, CursorCLI, Github CopilotCLI, OpenClaw, and any MCP compatible clients