AI agents now operate with authority. Authority without discipline is how complex systems fail. Nuclear’s control loop, ported to AI-assisted software engineering.

Practical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost.

A kit for building with AI agents and also the engineering patterns around it.

from vibe coding to agentic engineering - practice makes claude perfect

Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.

Turn any repo into an agent-ready workspace for Claude Code, Codex, Cursor, and other coding agents.

Agentic game development taken to the next level: plan, build and test across major engines with any coding agent🤖

Coding agent orchestration for engineering teams — shipped as a spec plus a working reference implementation.

AtlasAgent - an auditable AI agent control plane: evidence-backed memory, governed tool runtime, checkpoint DAG recovery, and a 55-chapter engineering tutorial. FastAPI / Next.js PWA / Textual TUI

Spec-driven, agentic workflow framework for AI coding agents. Turn a request into a verifiable goal loop — plan, act, verify — with durable specs and evidence in your repo. Works with Claude Code, Codex, Gemini, OpenCode, and plain CLI.

Multi-Agent Harness for Production AI

The open-source company brain. Run your entire company with AI agents, skills, and a self-improving context.

The theory of LLM wikis, running as one. A framework for agent-operated knowledge: typed, linked, review-gated markdown your agents execute.

DeepBot is a system-level AI assistant built for both personal productivity and enterprise workflows — one-click setup, seamless experience, and native Feishu integration.

Self-hosted agent OS with skills, workflows, MCP, and second brain storage.

Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.

A human-governed AI coding workflow that distills ephemeral session context into persistent project memory—making work traceable, reviewable, and resumable.

Durable single-Agent Harness for TypeScript: recoverable Threads, context continuity, explicit side effects, and a native TUI.

Own your AI. The native macOS harness for AI agents -- any model, persistent memory, autonomous execution, cryptographic identity. Built in Swift. Fully offline. Open source.

Protocol-layer harness for DeepSeek: Python witness stack — posterior verification that keeps the protocol honest. dsh doctor --node probes included.

A lightweight agent harness you bolt onto your app so an LLM can operate it — safely, and cheaply.

Claude Code, Codex, and multi-agent configuration system: principles, hooks, skills, and workflow patterns for AI-assisted development

Optimize any AI agent’s skills, tools/MCP, and prompts against your own evals.

A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.