Agent Scaffolding

🛠️ The meta-harness for AI agents — scaffold your own focused, branded agent harness with its own npx CLI, MCP server, memory, learning loop, and witness-signed releases. Works with Claude Code, Codex, pi.dev, Hermes, OpenClaw, and RVM (hardware-isolated sandbox).

🛠️ The meta-harness for AI agents — scaffold your own focused, branded agent harness with its own npx CLI, MCP server, memory, learning loop, and witness-signed releases. Works with Claude Code, Codex, pi.dev, Hermes, OpenClaw, and RVM (hardware-isolated sandbox).

Production-grade Playwright + TypeScript Scaffold for Agentic Testing. Harness for all major AI coding agents baked in.

Turn Claude Code into its own Meta-Harness — a skill that evolves the scaffolding around a fixed model (memory, retrieval, context, prompts) via a native propose→score→Pareto loop. Native reimplementation of Meta-Harness (Lee et al. 2026).

One source of truth for AI coding agent instructions — scaffolds AGENTS.md, CLAUDE.md, GEMINI.md and a layered .agents/ structure, and updates them without clobbering hand-written rules.

Codex-native CLI for AI-assisted game development, scaffolding local projects with studio roles, bounded prompts, and hard-failing validation.

AI Agent Team scaffold for Claude Code — 19 roles collaborate through stage gates, enforced by mandatory skills + blocking hooks + DoD checklists. Spec-driven change folders, SIT-audited code reviews, 4-layer hook defense, multi-LLM (DeepSeek/Doubao/Qwen/MiniMax). Tracks: Web · WeChat Mini Program · Apple native (macOS/iOS). 中文/EN README.

SWE-ATLAS turns Claude Code into a senior AI software engineer agent: multi-project workspaces with memory, wireframe & prototype first planning, secrets kept out of chat, psql, browser QA runners, and CI/CD-aware deploys. One command: npx swe-atlas new-project

This project is a plugin for LM Studio that provides a rich set of tools to a large language model. It allows the LLM to interact with your local file system, execute code, access the internet, and more. This empowers the LLM to perform complex tasks like code generation, project scaffolding, and web research.

The Universal AI-Optimized Project Boilerplate. A Tiered Memory System (TMS) designed to maximize AI agent performance. Includes an interactive CLI tool and a high-signal documentation standard.

Persistent project memory for AI coding agents. Structured scaffold + drift detection CLI.

A provider-agnostic scaffolding kit for running structured multi-agent workflows in your codebase.

Agent skill for music distributors: keep release-flow docs honest vs code, or scaffold a local Adonis/Nest moderation API.

Zero-config Claude Code setup with enforced task scaffolding, structured memory, persistent context after compaction, plug-in code standards, optional TDD mode, and zero behavior changes for developers.

🌀 AI-native framework for building data portals. Scaffold a full portal from a brief and load datasets in minutes with agentic skills — any backend (CKAN, GitHub, Frictionless).