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.

autonomous harness engineering

🛠️ Awesome tools & guides for harness engineering.

Harness Engineering 学习指南 — 从概念理解到独立实践的深度学习档案

Harness Engineering From Claude Code source code to AI Coding

Harness engineering official style beginner tutorial, from 0 to 1

Open-source agentic data engineering harness for dbt, SQL, and cloud warehouses. 100+ tools, 10 warehouses, AI-powered.

AutoHarness: Automated Harness Engineering for AI Agents

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Agent skill for harness engineering — memory, permissions, context engineering, multi-agent coordination. Distilled from Claude Code, with Codex CLI and Gemini CLI on the roadmap. EN/ZH. Install via npx skills add.

An awesome list of Agent Harness engineering resources, including GitHub projects, tools, benchmarks, and practical guides.

Security Harness Engineering for Robust Program Analysis

Autonomous AI agent team for one-man companies. Context engineering + harness engineering drive a pipeline that brainstorms, builds, reviews, and ships.

My personal directory of skills.

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harness-engineering discussion of shortcuts, automation, hacks and overall productivity with code agents like claude code, codex, and other harness.

A Harness Engineering tool for turning quality rules, architecture constraints, and validation steps into executable guardrails.

Unity + AI 并基于驾驭工程(Harness Engineering)解决Agent可靠性与可持续性，GameFramework + HybridCLR + YooAsset 开发的塔防游戏

OpenHarness is a long-term, fully autonomous AI agent execution framework for OpenClaw built on the concept of Harness Engineering. It enables your AI to work tirelessly for you 24/7 with just a single command. syycy2021@gmail.com, From the Interdisciplinary Professor Shenyang Team at Tsinghua University

Jupyter notebooks for enhancing your skills with ChatGPT based prompt engineering. Harness the potential of large language models and create innovative applications.

A practical framework to ship quality software with AI agents in team environments

Set up and improve harness engineering (AGENTS.md, docs/, lint rules, eval systems, project-level prompt engineering) for AI-agent-friendly codebases. Triggers on: new/empty project setup for AI agents, AGENTS.md or CLAUDE.md creation, harness engineering questions, making agents work better on a codebase.

One person, one software company. Manage 47 AI agents from a single Electron app — with Harness Engineering (Skills + Hooks + FileWatchers) for disciplined, traceable AI workflows.

Context engineering for coding agents - CLAUDE.md templates, mechanical enforcement, and a field guide to 20+ best practices. Bootstrap with one command.

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The terminal primitive for agentic/harness engineering.

Harness engineering best practices

一次harness engineering规范的尝试skill

The Map Everyone's Missing: LLM Knowledge Engineering in 2026 — First unified guide connecting RAG, Context Engineering, Harness Engineering, Skill Systems, Agent Memory, MCP, and Progressive Disclosure

Survey on LLM agent harnesses engineering with a taxonomy. 110+ papers, 23 systems analyzed.